[System] Extract the following details from the provided HTML source code. Return only a valid JSON object. Do not include any other text.

[User]
{"html":"                \n
Michelle A. Gyves
\n                        Partner
\n                        \n                            Corporate\n                        \n
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\n                            \n                                New York Office\n                            \n
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\n                            \n                                +1.212.940.6585\n                            \n
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\n                            \n                                michelle.gyves@katten.com\n                            \n
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About Michelle A. Gyves
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Michelle Gyves helps clients navigate an array of employment issues with a particular focus on the employment and labor aspects of corporate transactions.
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Insights on a wide range of personnel matters
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Shelly advises clients on complex labor, employment and benefits issues in connection with M&A and financing transactions including restrictive covenants, employee transfers and workforce integration, and compensation arrangements and conducts employment and labor diligence. Her experience includes managing the unique issues that arise in transactions involving a unionized workforce. Whether representing a buyer, seller or management team, Shelly focuses on the issues most important to the client, helping them navigate legal risk while facilitating getting the deal done.
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Shelly also provides day-to-day counseling on a broad spectrum of employment-related issues, including hiring and termination, compensation and benefits, restrictive covenants, wage and hour requirements, workplace policies and investigations, diversity and inclusion. She also has extensive experience advising on non-US and cross-border employment matters.
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Shelly has experience advising clients in a variety of industries, including financial services, health care, fashion and consumer products, energy, food and beverage, manufacturing and hospitality
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Practice Focus
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Employment law and litigation
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Workplace regulation
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Employment benefits
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Mergers and acquisitions (M&A)
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Data privacy
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News
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\n                                                Katten Represents Shorehill Capital in Exit of Functional Devices\n
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\n                                                Katten Represents Highlander Partners in Acquisition of Tapatio\n
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\n                                                Katten Represents Kasa in Acquisition of Mint House\n
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\n                                                Katten Represents IMS Legal Strategies, LLC in Acquisition\n
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\n                                                Katten Advises Niteo Products, LLC on Pair of Acquisitions\n
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\n                                                Katten Recognized at 7th Annual USA and Global M&A Atlas Awards \n
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\n                                                Katten Counsels Industry-Leading Sports Agency in Global Growth Partnership\n
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\n                                                Katten Represents Prompt Health in Acquisition of PredictionHealth\n
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\n                                                Katten Represents Airtron in Acquisition of Viccarone\n
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\n                                        View All News\n
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Publications
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\n                                                Q&A â€“ FTC Rule Banning Non-Competes With Workers\n
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\n                                                Financial Markets and Funds Quick Take | Issue 12\n
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\n                                                Recent NLRB Decision Impacts Employer Use of Non-Disparagement and Confidentiality Clauses\n
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\n                                                FTC Proposes Rule Banning Non-Competes With Workers\n
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\n                                                New Year, New Requirements for New York Employers\n
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\n                                                Kattison Avenue/Katten Kattwalk | Issue 1\n
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\n                                                US Supreme Court Reinstates Stay of OSHA Vaccination Requirement for Employers With 100+ Employees\n
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\n                                                OSHA Reinstates Vaccination Requirement for Employers With 100+ Employees\n
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\n                                                Update on OSHA's Vaccination Requirement for Employers With 100+ Employees\n
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\n                                        View All Publications\n
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Presentations and Events
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\n                                                Women on the Move 2024: Building Your Brand\n                                            Panelist | Ethically Building Your Brand - What Lawyers Need to Know\n
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\n                                                WAVE in Chicago: Annual Speed Networking Event\n
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\n                                                Navigating the Employment Landscape of 2021: A Conversation for Private Equity and Corporate Employers\n                                            Presenter\n
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\n                                                Reopening the Office: Legal Guidelines and Best Practices for Returning to Work\n                                            Panelist\n
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\n                                                Employment Law, Benefits and Related Tax Developments to COVID-19\n                                            Speaker\n
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\nPresented to Fordham Law School E-Commerce Class                                         \n                                            Speaker | International Data Privacy\n
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\nACC Webinar                                         \n                                            Presenter | Managing Across Borders\n
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\nABA Conference                                        \n                                            Panelist | Going Global: A Corporate Case Study in Entering an Emerging Market \n
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Practices
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\n                                Corporate\n
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\n                                Employment Litigation and Counseling\n
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\n                                Executive Compensation and Employee Benefits in Corporate Transactions\n
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\n                                Health Care\n
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\n                                International\n
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\n                                Mergers and Acquisitions\n
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\n                                Privacy, Data and Cybersecurity\n
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\n                                Private Equity\n
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Industries
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\n                                Education\n
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\n                                Entertainment and Media\n
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\n                                Entrepreneurial Ventures\n
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\n                                Finance and Financial Markets\n
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\n                                Hospitality\n
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\n                                Insurance and Risk Management\n
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\n                                Pharmaceutical and Life Sciences\n
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\n                                Sports and Sports Facilities\n
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\n                                Technology\n
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Education
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\n                                Harvard Law School, JD, cum laude\n
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\n                                The University of North Carolina at Chapel Hill, BA, with high distinction\n
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Bar Admissions
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New York
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Community Involvements
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\n                                The Hill School,Â trustee\n
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Recognitions
\n                    Recognized or listed in the following:\n
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National Law Review
\n                                    Go-To Thought Leader Award - Litigation, 2022\n
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The Legal 500 United States
\n                                    Next Generation Lawyer, 2019\n
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\n                    Award Methodologies\n
Screen Reader Content
\n","instructions":["'first_name' => 'Extract only the attorney\\'s first name.',\r\n'middle_name' => 'Extract only the attorney\\'s middle name or middle initial, as it is presented. If not found, return an empty string.',\r\n'surname' => 'Extract the attorney\u2019s last name or family name',\r\n'email' => 'Extract a valid email address for the profiled attorney. If not found, return an empty string.',\r\n'title' => 'Extract the profiled attorney\\'s job title. Ensure it is properly capitalized.The attorney can have multiple titles, in which case list them all as an array. If no title is found, return an empty array.',\r\n'location' => 'Extract the office name or city name in which this attorney works, as it is listed. The attorney may work out of two offices, in which case both should be listed. List them as an array.',\r\n'direct_phone_no_1' => 'Extract the direct office phone number listed for this attorney. If multiple phone numbers are listed, select the one that is their direct line, not the main or central office number, nor a fax number. If the attorney works out of two offices and has a direct line for each office, list the first here. If a direct line is unavailable, but a main or central office number is listed with an extension, list that number followed by EXT and the extension number',\r\n'direct_phone_no_2' => 'Extract the second direct office phone number listed for this attorney, if it exists. If multiple direct phone numbers are listed because the attorney works out of two office, select the second number \u2013 not the one listed in the prior item. Select only a number that is the attorney\u2019s direct line, not the main or central office number, nor a fax number.',\r\n'image_url' => 'Extract the URL for the attorney\u2019s image file',\r\n'linkedIn' => 'Extract the URL for the attorney\u2019s LinkedIn profile, if it is listed. If not found, return an empty string.',\r\n'narrative_description' => 'Extract and combine all sections that provide a narrative overview of the attorney\u2019s biography and general work experience. Do not paraphrase, summarize, or omit information. Include the Biography/Bio section(s) and also include any Experience section that contains narrative descriptions of work (including sections structured as practice-area headings followed by descriptive paragraphs, e.g., \"Aging Services\" + paragraph text, \"Dental\" + paragraph text, etc.). Preserve headings and the order of content as it appears; you may convert embedded highlights into bullet points only if it helps preserve (not reduce) the information. EXCLUDE: any section (or subsection) that exclusively lists specific representative matters / representative experience items (typically a list of discrete matters, case captions like \"X v. Y\", deal/transaction bullet points, dated entries, courts/dockets, or similar itemized matter lists). If an Experience (or other) section contains BOTH narrative description AND a separate list of specific matters, include the narrative paragraphs/headings but omit the itemized matter list. Return the combined narrative text only. If no narrative bio or general-experience narrative exists, return an empty string.',\r\n'representative_matters' => 'Extract ALL representative matters (such as litigation cases, verdicts, transactions, or deals) that are listed as well any available descriptions of them, in both specified lists of representative matters, experience, and work highlights, as well as in the biographical text and list of news articles. If news articles for this attorney identify cases or transactions that can be inferred to be the work product of this attorney, include those matters as well. List the representative matters and their available descriptions as an array. Only pull from the text and do not paraphrase or make anything up. If no representative matters are found, return an empty string.',\r\n'news' => 'Extract news items ABOUT this attorney (not authored by them): e.g., firm/industry press releases, announcements, awards, rankings, deal/case results naming them, media coverage quoting or profiling them. List each item as \"Title (URL)\". If a \u201cNews\u201d section mixes authored content, include ONLY items that are clearly about the attorney or the firm, not implied to be authored by the attorney. Add base domain to relative links. Return an empty array [] if none.',\r\n'practice_areas' => 'Extract all the practice areas (aka departments, specialties, capabilities, services areas, areas of focus, etc.), if any, that are listed as ones that this attorney specializes in. Return them as an array. If not found, return an empty string.',\r\n'law_school' => 'Extract the law school attorney attended. This is for their primary law degree, usually a JD, LLB, or, in the absence of those, the earliest LLM listed or the institution where they received an undergraduate law degree. If not found, return an empty string.',\r\n'law_school_graduation_year' => 'Extract the year in which the attorney received their degree from the law school above (what year did they graduate?) If not found, return an empty string.',\r\n'law_school_honors' => 'Extract all honors this attorney received in or during law school. You must review all education and credentials sections that list their law degree AND ALSO the narrative bio, as well as all other sectiosn. These honors include: latin honors (cum laude, summa cum laude, magna cum laude); school specific honors (e.g. James Kent Scholars at Columbia Law); regular honors designations (e.g. Dean\u2019s List, High Honors, etc.); Order of the Coif; course prizes (such as book awards, CALI Awards, American Jurisprudence Awards, or course awards); membership in phi kappa phi; scholarships and fellowships; moot court awards; trial advocacy awards; best oralis; brief-writing honors or other writing honors; pro bono or service distinctions; commencement prizes and medals; or other types of academic law school honors (but list them specifically - do not list them as \"other honors\". Return this entire extracted list of specific honors as an array. If no honors are found, return an empty array.',   \r\n'law_journals' =>' Extract any law reviews or law journals listed for the attorney's time in law school. Also list if the attorney had any titles in such law reviews or journals, like Articles Editor for example. Return this entire extracted list of law reviews and journals, and associated titles, as an array. If no law reviews or journals are found, return an empty array.'\r\n'undergraduate_school' => 'Extract the attorney\\'s undergraduate degree-granting school, college, university, or institution. This is probably the institution from where they received a bachelors degree. If their undergraduate degree was an LLB listed for their law school above, return an empty string. If no undergraduate schools are found, return an empty string.',\r\n'undergraduate_school_graduation_year' => 'Extract the year in which attorney received their undergraduate degree from the undergraduate school above. If not found, return an empty string.',\r\n'undergraduate_specialty' => 'Extract the specialties or majors that are listed for the undergraduate degree (e.g. economics, computer science, etc.) This does not include degree type, like B.S., Bachelor of Arts or Science degree, etc. List the specialties or majors as an array. If not found, return an empty string.',\r\n'PhD_school' => 'If this attorney has a PhD, Extract the educational institution from which they received it. If not found, return an empty string.',\r\n'PhD_subject' => 'If this attorney has a PhD, list the educational institution from which they received it. If not found, return an empty string.',\r\n'Masters_degree_school' => 'If this attorney has a masters degree, extract the educational institution from which they received it. But do not list schools from which the attorney received an LL.M. degree or a masters in law. If no masters degree schools are found, return an empty string. ',\r\n'Masters_degree_subject' => 'If the attorney has a masters degree, extract the subject or area of study of the masters. The subject area may be in the degree itself, such as an M.Div, which is a masters in Divinity. But do not include subjects for LL.M. degrees or masters in law degrees. DO NOT include honors or latin honors (e.g. cum laude, summa cum laude) in your answer. List subjects as array. If no masters degree subjects are found, return an empty string.',\r\n'MBA_School' => 'If the attorney has a Masters in Business Administration, extract the name of the business school from which they received it. If not found, return an empty string.',\r\n'MD_school' => 'If the attorney has an MD (Doctor of Medicine) or DO (Doctor of Osteopathy) degree, extract the name of the medical school from which they received it. If not found, return an empty string.',\r\n'llm_in_tax_law_school' =>  'If the attorney has an masters in laws (LLM) degree, specializing in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'Other_LLM_school' => 'If the attorney has an masters in laws (LLM) degree, but not one that specializes in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'bar_and_court_admissions' => 'Extract EVERY explicit admission to practice (bar + court/agency) anywhere in the page. Include bar jurisdictions (states/provinces/territories/countries) and court/agency admissions (e.g., U.S. Supreme Court, Courts of Appeals with circuit, District/Bankruptcy/Tax/Federal Claims courts with district, USPTO, tribal/military/foreign courts). For UK attorneys, specify whether they are a solicitor, barrister, advocate, or any combination if available; for Canada, specify the province or territory; for Australia, specify the state or territory and whether they are admitted as a solicitor or barrister. Pull items under headings like \u201cAdmissions,\u201d \u201cBar Admissions,\u201d \u201cCourt Admissions,\u201d or similar, and treat each
 or clearly separated entry as one item. Do not infer from memberships/education. Exclude governments as parties, and strip years and dates. Output a deduplicated array of exact admission strings; if none, return []. ',\r\n'Clerkships' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, DO NOT include it in your answer. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Clerkships_with_judge' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, include it in parentheses after the court name, and if no judge is named, return only the court. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that lack judge names or that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Memberships' => 'Extract any organizations the attorney a member of. List them as an array, with the attorney's role if available. If no memberships or organizations are listed, return an empty string.',\r\n'clients' => 'Extract the attorney's clients that are explicitly NAMED in the source code. You MUST review EVERY section (including explicit client lists, narrative biography, representative matters, experience, and news articles/titles) and then MERGE the results; do not stop after finding clients in any one section. If a list of representative matters or experience is present, extract NAMED clients from this list, and ignore any clients who are described in the list but who are not explicitly named in the list. Only include a client from the list of representative matters/experience or any other section if its name appears verbatim in the list and if the list clearly identifies the client as a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). As an overarching rule, if the client is not identified by a proper name, do not include it. When pulling clients from lists of representative matters/experience and news articles, include clients which are named and which are implied to be represented by this attorney, their team or firm, and exclude parties adverse to such clients, opposing such clients, or on the other side of a case, deal or transaction from such clients. For example, if the representative matter/experience or news article's title mentions a lending transaction with both the lender and borrower, and the attorney or their team or firm represented the lender, do not list the borrower. If a litigation case is listed, do not assume that the lawyer represented the plaintiff. Use context or other language in the text to determine which party was represented by the attorney. If a matter lists the government as one party, assume the attorney represented the other named party and include that party if it is specifically named and not anonymous. As another example, if the representative matter/experience is a litigation case, and it is written that the attorney represented the defense (or \"defended\" his client), extract the defendant named in the case title. List all named clients as a deduplicated array of NAMES copied directly from the source text. Omit unnamed parties and anonymous parties and never guess identities. If no named clients are explicitly named anywhere in the source code, return an empty string.',\r\n'industries' => 'Extract ONLY industries/industry sectors or client-type categories explicitly named in the source code (especially, but not exclusively, under headings like \u201cIndustries,\u201d \u201cPractices & Industries,\u201d or in /industries/ links). Include items like \u201cSports,\u201d \u201cHealthcare & Life Sciences,\u201d \u201cTechnology,\u201d \u201cInfrastructure,\u201d \u201cPrivate Equity,\u201d etc. EXCLUDE practice areas, services, or deal/matter types (e.g., \u201cMergers & Acquisitions,\u201d \u201cPrivate Equity M&A,\u201d \u201cacquisitions,\u201d \u201cinvestments,\u201d \u201cdivestitures,\u201d \u201cjoint ventures,\u201d \u201cfinancing,\u201d \u201crestructurings\u201d). Return a deduplicated array of industry/client-type names as written. If none are explicitly named, return empty array.',\r\n'languages' => 'Extract the languages in which the attorney is fluent. List them as an array.',\r\n'Accolades' => 'Extract any accolades, awards, or other special recognitions this attorney has received, such as rankings in Chambers guides (like Chambers & Partners, Chambers Gobal, or Chambers Asia-Pacific), the Legal500 list, and SuperLawyers, among others. The accolades should be specific to this attorney or their work, not generalized to their practice or their firm. List these accolades as an array. If no accolades are listed, return an empty string.',\r\n'pro_bono_activities' => 'Extract the attorney's pro bono, community service, and volunteer activities, as well as any non-profit, ngo, community service organizations the attorney may be involved with. If a description of the work is provided, include that. List them as an array',\r\n'thought_leadership' => 'Extract ALL professional thought leadership attributed to this attorney in their narrative bio and in all \"Insights,\" \"Publications,\" \"Events,\" and similar sections. This includes all items with their authorship/co-authorship/speaking/hosting credit/(byline \u201cauthor,\u201d \"co-author,\" \u201cpresenter,\u201d \u201cspeaker,\u201d \u201cpanelist,\u201d \u201cwebinar,\u201d \u201cpodcast,\u201d \u201cblog,\u201d \u201carticle,\u201d \u201cpublication,\u201d \u201cchapter,\u201d \u201cCLE,\u201d etc.). This also includes any items that do not include their byline or credit, but which are implied to involve the attorney (for example, by being listed in a section on their profile for \"Insights,\" \"Podcasts,\" \"Events,\" \"Media,\" \"Thought Leadership,\" \"Webinars, etc.). If a \u201cNews\u201d or \u201cInsights\u201d section mixes third party news ABOUT this attorney, include only items implied to the attorney as creator/presenter. List each as \"Title (URL)\" when a link is present, otherwise just the title. Add base domain to relative links. Also include the publication, event/program, and date after the title if these are available. Return [] if none.'\r\n'adverse_parties' => 'Review all the source code, including the narrative bio and list of representative matters, and list EVERY identifiable and NAMED party that is adverse to this attorney\u2019s clients: litigation opponents and transaction counterparties (buyer vs seller, lender vs borrower, landlord vs tenant, licensor vs licensee, insurer vs insured, issuer vs underwriter/investor, etc.). You MUST pull from all sections in the source code - explicit lists of clients, the narrative biography, listed representative matters, or in news articles listed for this attorney, or the titles thereof. In M&A, if the attorney represented the buyer/acquirer, DO NOT list the acquired target as adverse (since it becomes the client); instead list only the selling side (seller, stockholders, founders, or divesting company). If the attorney represented the seller/target, list the buyer/acquirer. Use cues like \u201cto/with/from/against,\u201d \u201csale to/by,\u201d \u201cacquisition from/by,\u201d \u201cmerger with,\u201d \u201cfinanced by/loan to/from/credit facility with.\u201d In the attorney represented the owner or owning entity of a subsidiary/portfolio company (for example in the case of a restructuring or lending transaction), DO NOT list the subsidiary/portfolio company as adverse; Do not list governments/agencies/courts. Only include an adverse party if its name appears verbatim in the source code and clearly identifies a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). If the text does not contain the adverse party's name, do not include it. Output a deduplicated array of exact names; omit unnamed parties and never guess.'\r\n 'affinity_groups' => 'Extract ALL affinity/identity-based organizations the attorney is affiliated with on the page, even if under generic headings like \u201cAssociations,\u201d \u201cMemberships,\u201d \u201cAffiliations,\u201d \u201cCommunities,\u201d or \u201cOrganizations.\u201d Check all sections of the source code. Include all bar or professional association whose name signals an identity/affinity or civil-rights focus (e.g., words like Black/African-American/AAPI/Asian/South Asian/Pacific Islander/Hispanic/Latino/Native/Indigenous/LGBT/LGBTQ/Queer/Women/Gender/Disability/Veteran/Jewish/Muslim/Christian/Hindu/Sikh/Interfaith/Civil Rights/Minority/Diversity/Inclusion). Exclude purely general trade/professional groups without such identity focus. Return a deduplicated array of exact organization names; if none, return empty array.'"]}


[System] Extract the following details from the provided HTML source code. Return only a valid JSON object. Do not include any other text.

[User]
{"html":"                                People /\n                                Dina Blikshteyn\n
\n                            Dina Blikshteyn\n
\n                                \n                                    Partner | Co-Chair - AI and Deep Learning Practice Group  \n                                \n                                \n                                            New York\n                                \n
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\n                                        T\n                                        +1 212.835.4809\n
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\n                                        F\n                                        +1 212.884.9546\n
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\n                                            dina.blikshteyn@haynesboone.com\n
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Facebook
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Twitter
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LinkedIn
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Biography
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Dina Blikshteyn is a partner in the intellectual property practice group in the New York office of Haynes Boone. DinaÃ¢Â€Â™s practice focuses on post grant proceedings before the U.S. Patent and Trademark Office, AI counseling, and preparing and prosecuting domestic and international patent applications.
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Dina is co-chair of the artificial intelligence practice at Haynes Boone, and regularly speaks and writes on various AI topics.
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Dina's patent practice focuses on technology areas. She regularly counsels clients on artificial intelligence and machine learning, cloud computing, cybersecurity, web applications, map and navigation applications, point-of-sale systems, computer graphics, data structures, algorithms, distributed systems, client-server applications, CPU/GPU processor design, operating systems, mobile technologies, databases, database optimization, multimedia and video streaming, financial trading products, banking software, computerized auction software, healthcare systems, internet systems, advertising software, wireless communication systems and applications, telecommunications systems, marketing applications, industrial control systems (ICS), cable systems, and smart grid and micro-grid technologies.
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Prior to becoming a lawyer, Dina developed high-frequency trading systems that traded financial instruments on domestic and international exchanges
\n    Expand All\n          \n          Publications and Speaking Engagements\n          \n
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Ã¢Â€ÂœU.S. AI Regulations & Legal Risk Oversight,Ã¢Â€Â� speaker,Â Global Legal ConfEx, October 16, 2025.
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Ã¢Â€ÂœUnleashing AI in America: TrumpÃ¢Â€Â™s 2025 Action Plan and Its National Impact,Ã¢Â€Â� author, Women in AI, October 13, 2025.Â
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Ã¢Â€ÂœU.S. Government Procurement of Artificial Intelligence Under the New Administration,Ã¢Â€Â� presenter,Â ABA Public Contract Law Section IP Committee Webinar, June 26, 2025.
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Ã¢Â€ÂœMastering Artificial Intelligence, ChatGPT and Generative AI Law,Ã¢Â€Â� presenter, The Rossdale Group, March 19, 2025.
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Ã¢Â€ÂœWill the US Copyright OfficeÃ¢Â€Â™s AI stance create more problems than it solves?Ã¢Â€Â� interview guest, World IP Review, February 28, 2025.
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Ã¢Â€ÂœKathi Vidal: Trump orders jeopardise USPTO AI inventorship guidance,Ã¢Â€Â� interview guest, World IP Review, January 27, 2025.
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\"The Intersection of AI and Patents, Trade Secrets, and Open Source,\" panelist, Practice Law Institute, January 23, 2025.
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\"AI Continues to Impact and Challenge the Legal Framework Worldwide,Ã¢Â€Â� co-author, Women in AI, December 8, 2024.
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Ã¢Â€ÂœThe NYDFS Issues Guidance on Cybersecurity Risks Arising from Artificial Intelligence and Strategies to Combat AI-Related Risks,Ã¢Â€Â� author, HB Financial Regulatory Roundup, November 11, 2024.
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Ã¢Â€ÂœConversations with Chief IP Officers: Illuminating Insights and Perspectives,Ã¢Â€Â� speaker, Global IP ConfEx, October, 23, 2024.
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\"OpenAI Patent Pledge Hints at Broader Infringement Suit Strategy,\" interview guest, Bloomberg Law, October 17, 2024.
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Ã¢Â€ÂœIntellectual Property Challenges and Strategies in Artificial Intelligence (AI) in North & Latin America,Ã¢Â€Â� speaker, Virtual Problem-Solving Discussion & Speed Networking Event, October 17, 2024.
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\"Navigating Patent Eligibility for AI Inventions After the USPTO's AI Guidance Update,\" author, Westlaw Today, October 8, 2024.
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\"Too Much Too Soon? Firms Reveal AI Expectation,\" interview guest, Managing IP, September 27, 2024.
\n
\"Embracing the Future: How to Leverage AI for Patent Searching, Drafting, and Prosecution,\" panelist, FICPI 22nd Open Forum Madrid, September 26, 2024.
\n
\"AI Bills Have Ã¢Â€Â˜Positive IntentÃ¢Â€Â™ But Potentially Ã¢Â€Â˜BurdensomeÃ¢Â€Â™ Outcome: Lawyer,\" interview guest, Cointelegraph, September 23, 2024.
\n
\"How IP Counsel Are Dealing With Ã¢Â€Â˜Massive UpswingÃ¢Â€Â™ in AI Work,\" quoted, Managing IP, August 29, 2024.
\n
Ã¢Â€ÂœWhy US AI bill could boost firmsÃ¢Â€Â™ litigation practices,Ã¢Â€Â� interview guest, Managing IP, August 9, 2024.
\n
Ã¢Â€ÂœSecuring IP Rights in AI-Driven Discoveries: Overcoming Patent Challenges in the U.S. and EU,Ã¢Â€Â� panelist, ACIÃ¢Â€Â™s 22nd Advanced Summit on Life Sciences Patents, May 30, 2024.
\n
Ã¢Â€ÂœDon't Let Your AI Control You: Manage AI Trust, Risk and Security,\" panelist, Global GRC, Data Privacy & Cyber Security ConfEx, May 21, 2024.
\n
Ã¢Â€ÂœFemTech LIVE Lounge: Dina B. Blikshteyn and Silvia A. Carretta,Ã¢Â€Â� guest speaker, Virtual Patent Gateway, LLC, webinar, March 13, 2024.
\n
Ã¢Â€ÂœAI Is Now Generating Securities Litigation,Ã¢Â€Â� co-author, Haynes and Boone Alert, March 6, 2024.
\n
Ã¢Â€ÂœEthics Before the PTAB,Ã¢Â€Â� speaker, PTAB Bar Association Annual Conference, March 8, 2024.
\n
Ã¢Â€ÂœGetting AI Patents Allowed: Supporting and Enabling AI Applications to Survive 101 and 112,Ã¢Â€Â� panelist, IPWatchdog Artificial Intelligence Masters 2024, March 6, 2024.
\n
Ã¢Â€ÂœGetting AI Patents Allowed: Strategies for Prosecuting AI Patents at the USPTO,Ã¢Â€Â� panelist, IPWatchdog Artificial Intelligence Masters 2024, March 6, 2024.
\n
Ã¢Â€ÂœSpecialist Chapter: Procuring Patent Protection for AI Inventions,Ã¢Â€Â� co-author, IAM, January 24, 2024.
\n
\"Innovator in Focus: Dina BlikshteynÃ¢Â€Â™s Approach to Overcoming Adversities in Tech Innovation,\" feature, CIOLook, December 28, 2023.
\n
\"A Deep Dive into the Issues of Privacy Surrounding the Possibilities Created by Generative AI Applications,\" panelist, AI Summit 2023, December 7, 2023.
\n
\"Leading Professionals to Teach About Intellectual Property,\" speaker, Financial Poise,Â webinar, November 29, 2023.
\n
\"Experts explain how OpenAI's leadership shake-up could impact San Francisco,\" Interview with ABC7 News Bay Area, November 20, 2023.
\n
AI Ethics, panelist,Â PTAB Bar Association, November 2023.
\n
Ã¢Â€ÂœWhite House Executive Order Expands Regulation of Artificial Intelligence,Ã¢Â€Â� co-author, Reuters, November 8, 2023.
\n
\"AI & Patents: Navigating the Shifting Landscape and Envisioning the Future,\" panelist, Centerforce IP Strategy Summit, November 1, 2023.Â
\n
Ã¢Â€ÂœPost-Grant Review Trials,Ã¢Â€Â� moderator, Financial Poise, webinar, October 31, 2023.
\n
\"A Legal 360 for Intellectual Property for AI,\" co-author, August 4, 2023.
\n
\"FemTech Titans: The Women Leaders Trailblazing AI,\" moderator,Â Virtual Patent Gateway, LLC, August 29, 2023.
\n
\"The Supreme Court Leaves Patent Eligibility in Flux,\" co-author,Â The Patent Lawyer, July 4, 2023.
\n
\"Examining the Intellectual Property Challenges of Artificial Intelligence (AI),\" panelist, Women Leaders in IP Law 3rd Annual Summit, June 6, 2023.
\n
\"Using AI for Competitive Advantage.\" co-author,Â The Journal of Robotics, Artificial Intelligence and Law, July 2023.
\n
\"Michel Puts Hope in Ã¢Â€Â˜ImminentÃ¢Â€Â™ Patent Bills Following SCOTUS Eligibility Denials,\" co-author,Â IPWatchdog,Â May 16, 2023.
\n
\"Chatbot Patents are Likely to Spark AI Wars,\" co-author, Law360 (April 4, 2023).
\n
\"Immersive Technologies and The Future of Entertainment,\" panelist,Â Artificial Intelligence MastersÃ¢Â„Â¢ 2023 Program, IP Watchdog, March 8, 2023.
\n
\"What the Patent Bar is Saying About the USPTOÃ¢Â€Â™s Call for Comments on AI Inventorship,\" co-author, IPWatchdog, February 19, 2023.
\n
\"AI and Drug Development: IP Implications for Protecting AI Discoveries,\" speaker, IP Watchdog LIVE, September, 12 2022.
\n
\"How To Navigate Patent Eligibility Of AI-Driven Diagnostics,\" co-author, Med Device Online,Â July 28, 2022.
\n
\"Protecting Your Artificial Intelligence Innovations,\" co-author,Â Wine Industry Advisor, June 29, 2022.
\n
\"Are Artificial Intelligence Technologies a Game Changer for Patents in Finance?,\" co-author,Â The Patent Lawyer,Â June 27, 2022.
\n
\"How to Navigate the Patenting Challenges Of AI-Assisted Drug Discovery,\" co-author,Â Pharmaceutical Online,Â June 17, 2022.
\n
\"After West Texas Ruling, Patenting AI Could be More Nuanced,\" co-author, Law360, February 23, 2022.
\n
\"Protecting Artificial Intelligence Inventions in Drug Development,\" co-author,Â BioProcess International,Â December 16, 2021.
\n
\"What is limiting the autonomous driving rollout?,\" co-author, Autonomous Driving, November 16, 2021.
\n
\"Where We Are on AI Inventorship and Where We Should be Heading,\" co-author, IPWatchdog, October 12, 2021.
\n
\"Considering Short- And Long-Term Effects Of COVID IP Waiver,\" co-author, Law360, August 11, 2021.
\n
\"Understanding Law Firm Resources,\" co-author, Bloomberg Law, August 2021.
\n
\"AI Systems and Drafting Patents: Enablement and Inventorship,\" speaker, Strafford Webinar, April 22, 2021.
\n
\"Law Firms are Looking for Tech-Savvy Lawyers: What That Means to Law Students,\" co-author, Legaltech News, March 31, 2021.
\n
\"COVID Testing and Patentability,\" co-author, Bloomberg Law, March 8, 2021
\n
\"The More You Know:  Living in an AI World,\" speaker, Haynes and Boone, LLP CLE Webinar, September 24, 2020.
\n
\"How Artificial Intelligence Tools Impact the Legal Practice: What every attorney needs to know,\" speaker, myLawCLE Webinar, October 29, 2020.
\n
\"How AI and Machine Learning are transforming law firms and the legal sector,\" speaker, 3rd World Legal AI Summit, Luxatia International, October 9, 2020.
\n
\"AI Invents But CanÃ¢Â€Â™t Be an Inventor. So Now What?,\" co-author, LegalTech News, August 31, 2020.
\n
\"Brave New World: How AI Tools Are Used in the Legal Sector,\" co-author, LegalTech News, August 12, 2020.
\n
\"The Ethics Of Using Chatbots For Legal Services,\" co-author, Law360, August 3, 2020.
\n
\"Navigating A New Realm: AI and Patent Law,\" co-author, LegalTech News, July 16, 2020.
\n
\"Navigating a New Realm: AI and Law,\" presenter, Haynes and Boone LLP Patent Prosecution and Patent Trials Grp. Mtg., Chicago, IL (Apr. 21, 2020).
\n
\n          \n          Qualifications\n          \n
Education
\n
\n                      J.D.,\n                    Rutgers School of Law Newark, 2009\n
\n
\n                      B.S.,\n                    Computer and Electrical Engineering,\n                    Rutgers University School of Engineering, 2001, with high honors\n
\n
Clerkships
       \n
\n                      Clerk to the Honorable Sebastian Lombardi, New Jersey Civil Court - Special Civil Part\n
\n
Languages
\n
Russian
\n
Admissions
\n
District of Columbia
\n
New Jersey
\n
New York
\n
U.S. Patent and Trademark Office
\n
Court Admissions
\n
U.S. District Court for the District of New Jersey
\n        Practices and Industries         \n
\n
Intellectual Property
\n
Patents
\n
Patent Prosecution and Counseling
\n
Patent Office Trials
\n
Intellectual Property Litigation
\n
AI and Deep Learning
\n
Streaming Media
\n
\n                  <button>\n                    Show More\n                  </button>\n            \n                AI Chats Podcast Series                \n
The AI Chats podcast regularly presents on a myriad of interesting legal issues and considerations related to AI. The most recent episodes focus on AI and inventorship, and AI and copyright.
                \n                    See podcast episodes\n                                \n                            News/Insights\n                                            \n
\n                                                    AI and Corporate Compliance: Best Practices for Addressing the DOJÃ¢Â€Â™s Expectations for AI Risk Management\n
\n                                            \n
\n                                                    USPTOÃ¢Â€Â™s New Subject Matter Eligibility Guidance and Best Practices\n
\n                                            \n
\n                                                    Blikshteyn in MLEX: Eligibility Ã¢Â€Â˜RemindersÃ¢Â€Â™ by USPTO Hint at AI-Friendly Shift, But Lack Teeth\n
\n","instructions":["'first_name' => 'Extract only the attorney\\'s first name.',\r\n'middle_name' => 'Extract only the attorney\\'s middle name or middle initial, as it is presented. If not found, return an empty string.',\r\n'surname' => 'Extract the attorney\u2019s last name or family name',\r\n'email' => 'Extract a valid email address for the profiled attorney. If not found, return an empty string.',\r\n'title' => 'Extract the profiled attorney\\'s job title. Ensure it is properly capitalized.The attorney can have multiple titles, in which case list them all as an array. If no title is found, return an empty array.',\r\n'location' => 'Extract the office name or city name in which this attorney works, as it is listed. The attorney may work out of two offices, in which case both should be listed. List them as an array.',\r\n'direct_phone_no_1' => 'Extract the direct office phone number listed for this attorney. If multiple phone numbers are listed, select the one that is their direct line, not the main or central office number, nor a fax number. If the attorney works out of two offices and has a direct line for each office, list the first here. If a direct line is unavailable, but a main or central office number is listed with an extension, list that number followed by EXT and the extension number',\r\n'direct_phone_no_2' => 'Extract the second direct office phone number listed for this attorney, if it exists. If multiple direct phone numbers are listed because the attorney works out of two office, select the second number \u2013 not the one listed in the prior item. Select only a number that is the attorney\u2019s direct line, not the main or central office number, nor a fax number.',\r\n'image_url' => 'Extract the URL for the attorney\u2019s image file',\r\n'linkedIn' => 'Extract the URL for the attorney\u2019s LinkedIn profile, if it is listed. If not found, return an empty string.',\r\n'narrative_description' => 'Extract and combine all sections that provide a narrative overview of the attorney\u2019s biography and general work experience. Do not paraphrase, summarize, or omit information. Include the Biography/Bio section(s) and also include any Experience section that contains narrative descriptions of work (including sections structured as practice-area headings followed by descriptive paragraphs, e.g., \"Aging Services\" + paragraph text, \"Dental\" + paragraph text, etc.). Preserve headings and the order of content as it appears; you may convert embedded highlights into bullet points only if it helps preserve (not reduce) the information. EXCLUDE: any section (or subsection) that exclusively lists specific representative matters / representative experience items (typically a list of discrete matters, case captions like \"X v. Y\", deal/transaction bullet points, dated entries, courts/dockets, or similar itemized matter lists). If an Experience (or other) section contains BOTH narrative description AND a separate list of specific matters, include the narrative paragraphs/headings but omit the itemized matter list. Return the combined narrative text only. If no narrative bio or general-experience narrative exists, return an empty string.',\r\n'representative_matters' => 'Extract ALL representative matters (such as litigation cases, verdicts, transactions, or deals) that are listed as well any available descriptions of them, in both specified lists of representative matters, experience, and work highlights, as well as in the biographical text and list of news articles. If news articles for this attorney identify cases or transactions that can be inferred to be the work product of this attorney, include those matters as well. List the representative matters and their available descriptions as an array. Only pull from the text and do not paraphrase or make anything up. If no representative matters are found, return an empty string.',\r\n'news' => 'Extract news items ABOUT this attorney (not authored by them): e.g., firm/industry press releases, announcements, awards, rankings, deal/case results naming them, media coverage quoting or profiling them. List each item as \"Title (URL)\". If a \u201cNews\u201d section mixes authored content, include ONLY items that are clearly about the attorney or the firm, not implied to be authored by the attorney. Add base domain to relative links. Return an empty array [] if none.',\r\n'practice_areas' => 'Extract all the practice areas (aka departments, specialties, capabilities, services areas, areas of focus, etc.), if any, that are listed as ones that this attorney specializes in. Return them as an array. If not found, return an empty string.',\r\n'law_school' => 'Extract the law school attorney attended. This is for their primary law degree, usually a JD, LLB, or, in the absence of those, the earliest LLM listed or the institution where they received an undergraduate law degree. If not found, return an empty string.',\r\n'law_school_graduation_year' => 'Extract the year in which the attorney received their degree from the law school above (what year did they graduate?) If not found, return an empty string.',\r\n'law_school_honors' => 'Extract all honors this attorney received in or during law school. You must review all education and credentials sections that list their law degree AND ALSO the narrative bio, as well as all other sectiosn. These honors include: latin honors (cum laude, summa cum laude, magna cum laude); school specific honors (e.g. James Kent Scholars at Columbia Law); regular honors designations (e.g. Dean\u2019s List, High Honors, etc.); Order of the Coif; course prizes (such as book awards, CALI Awards, American Jurisprudence Awards, or course awards); membership in phi kappa phi; scholarships and fellowships; moot court awards; trial advocacy awards; best oralis; brief-writing honors or other writing honors; pro bono or service distinctions; commencement prizes and medals; or other types of academic law school honors (but list them specifically - do not list them as \"other honors\". Return this entire extracted list of specific honors as an array. If no honors are found, return an empty array.',   \r\n'law_journals' =>' Extract any law reviews or law journals listed for the attorney's time in law school. Also list if the attorney had any titles in such law reviews or journals, like Articles Editor for example. Return this entire extracted list of law reviews and journals, and associated titles, as an array. If no law reviews or journals are found, return an empty array.'\r\n'undergraduate_school' => 'Extract the attorney\\'s undergraduate degree-granting school, college, university, or institution. This is probably the institution from where they received a bachelors degree. If their undergraduate degree was an LLB listed for their law school above, return an empty string. If no undergraduate schools are found, return an empty string.',\r\n'undergraduate_school_graduation_year' => 'Extract the year in which attorney received their undergraduate degree from the undergraduate school above. If not found, return an empty string.',\r\n'undergraduate_specialty' => 'Extract the specialties or majors that are listed for the undergraduate degree (e.g. economics, computer science, etc.) This does not include degree type, like B.S., Bachelor of Arts or Science degree, etc. List the specialties or majors as an array. If not found, return an empty string.',\r\n'PhD_school' => 'If this attorney has a PhD, Extract the educational institution from which they received it. If not found, return an empty string.',\r\n'PhD_subject' => 'If this attorney has a PhD, list the educational institution from which they received it. If not found, return an empty string.',\r\n'Masters_degree_school' => 'If this attorney has a masters degree, extract the educational institution from which they received it. But do not list schools from which the attorney received an LL.M. degree or a masters in law. If no masters degree schools are found, return an empty string. ',\r\n'Masters_degree_subject' => 'If the attorney has a masters degree, extract the subject or area of study of the masters. The subject area may be in the degree itself, such as an M.Div, which is a masters in Divinity. But do not include subjects for LL.M. degrees or masters in law degrees. DO NOT include honors or latin honors (e.g. cum laude, summa cum laude) in your answer. List subjects as array. If no masters degree subjects are found, return an empty string.',\r\n'MBA_School' => 'If the attorney has a Masters in Business Administration, extract the name of the business school from which they received it. If not found, return an empty string.',\r\n'MD_school' => 'If the attorney has an MD (Doctor of Medicine) or DO (Doctor of Osteopathy) degree, extract the name of the medical school from which they received it. If not found, return an empty string.',\r\n'llm_in_tax_law_school' =>  'If the attorney has an masters in laws (LLM) degree, specializing in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'Other_LLM_school' => 'If the attorney has an masters in laws (LLM) degree, but not one that specializes in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'bar_and_court_admissions' => 'Extract EVERY explicit admission to practice (bar + court/agency) anywhere in the page. Include bar jurisdictions (states/provinces/territories/countries) and court/agency admissions (e.g., U.S. Supreme Court, Courts of Appeals with circuit, District/Bankruptcy/Tax/Federal Claims courts with district, USPTO, tribal/military/foreign courts). For UK attorneys, specify whether they are a solicitor, barrister, advocate, or any combination if available; for Canada, specify the province or territory; for Australia, specify the state or territory and whether they are admitted as a solicitor or barrister. Pull items under headings like \u201cAdmissions,\u201d \u201cBar Admissions,\u201d \u201cCourt Admissions,\u201d or similar, and treat each
 or clearly separated entry as one item. Do not infer from memberships/education. Exclude governments as parties, and strip years and dates. Output a deduplicated array of exact admission strings; if none, return []. ',\r\n'Clerkships' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, DO NOT include it in your answer. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Clerkships_with_judge' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, include it in parentheses after the court name, and if no judge is named, return only the court. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that lack judge names or that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Memberships' => 'Extract any organizations the attorney a member of. List them as an array, with the attorney's role if available. If no memberships or organizations are listed, return an empty string.',\r\n'clients' => 'Extract the attorney's clients that are explicitly NAMED in the source code. You MUST review EVERY section (including explicit client lists, narrative biography, representative matters, experience, and news articles/titles) and then MERGE the results; do not stop after finding clients in any one section. If a list of representative matters or experience is present, extract NAMED clients from this list, and ignore any clients who are described in the list but who are not explicitly named in the list. Only include a client from the list of representative matters/experience or any other section if its name appears verbatim in the list and if the list clearly identifies the client as a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). As an overarching rule, if the client is not identified by a proper name, do not include it. When pulling clients from lists of representative matters/experience and news articles, include clients which are named and which are implied to be represented by this attorney, their team or firm, and exclude parties adverse to such clients, opposing such clients, or on the other side of a case, deal or transaction from such clients. For example, if the representative matter/experience or news article's title mentions a lending transaction with both the lender and borrower, and the attorney or their team or firm represented the lender, do not list the borrower. If a litigation case is listed, do not assume that the lawyer represented the plaintiff. Use context or other language in the text to determine which party was represented by the attorney. If a matter lists the government as one party, assume the attorney represented the other named party and include that party if it is specifically named and not anonymous. As another example, if the representative matter/experience is a litigation case, and it is written that the attorney represented the defense (or \"defended\" his client), extract the defendant named in the case title. List all named clients as a deduplicated array of NAMES copied directly from the source text. Omit unnamed parties and anonymous parties and never guess identities. If no named clients are explicitly named anywhere in the source code, return an empty string.',\r\n'industries' => 'Extract ONLY industries/industry sectors or client-type categories explicitly named in the source code (especially, but not exclusively, under headings like \u201cIndustries,\u201d \u201cPractices & Industries,\u201d or in /industries/ links). Include items like \u201cSports,\u201d \u201cHealthcare & Life Sciences,\u201d \u201cTechnology,\u201d \u201cInfrastructure,\u201d \u201cPrivate Equity,\u201d etc. EXCLUDE practice areas, services, or deal/matter types (e.g., \u201cMergers & Acquisitions,\u201d \u201cPrivate Equity M&A,\u201d \u201cacquisitions,\u201d \u201cinvestments,\u201d \u201cdivestitures,\u201d \u201cjoint ventures,\u201d \u201cfinancing,\u201d \u201crestructurings\u201d). Return a deduplicated array of industry/client-type names as written. If none are explicitly named, return empty array.',\r\n'languages' => 'Extract the languages in which the attorney is fluent. List them as an array.',\r\n'Accolades' => 'Extract any accolades, awards, or other special recognitions this attorney has received, such as rankings in Chambers guides (like Chambers & Partners, Chambers Gobal, or Chambers Asia-Pacific), the Legal500 list, and SuperLawyers, among others. The accolades should be specific to this attorney or their work, not generalized to their practice or their firm. List these accolades as an array. If no accolades are listed, return an empty string.',\r\n'pro_bono_activities' => 'Extract the attorney's pro bono, community service, and volunteer activities, as well as any non-profit, ngo, community service organizations the attorney may be involved with. If a description of the work is provided, include that. List them as an array',\r\n'thought_leadership' => 'Extract ALL professional thought leadership attributed to this attorney in their narrative bio and in all \"Insights,\" \"Publications,\" \"Events,\" and similar sections. This includes all items with their authorship/co-authorship/speaking/hosting credit/(byline \u201cauthor,\u201d \"co-author,\" \u201cpresenter,\u201d \u201cspeaker,\u201d \u201cpanelist,\u201d \u201cwebinar,\u201d \u201cpodcast,\u201d \u201cblog,\u201d \u201carticle,\u201d \u201cpublication,\u201d \u201cchapter,\u201d \u201cCLE,\u201d etc.). This also includes any items that do not include their byline or credit, but which are implied to involve the attorney (for example, by being listed in a section on their profile for \"Insights,\" \"Podcasts,\" \"Events,\" \"Media,\" \"Thought Leadership,\" \"Webinars, etc.). If a \u201cNews\u201d or \u201cInsights\u201d section mixes third party news ABOUT this attorney, include only items implied to the attorney as creator/presenter. List each as \"Title (URL)\" when a link is present, otherwise just the title. Add base domain to relative links. Also include the publication, event/program, and date after the title if these are available. Return [] if none.'\r\n'adverse_parties' => 'Review all the source code, including the narrative bio and list of representative matters, and list EVERY identifiable and NAMED party that is adverse to this attorney\u2019s clients: litigation opponents and transaction counterparties (buyer vs seller, lender vs borrower, landlord vs tenant, licensor vs licensee, insurer vs insured, issuer vs underwriter/investor, etc.). You MUST pull from all sections in the source code - explicit lists of clients, the narrative biography, listed representative matters, or in news articles listed for this attorney, or the titles thereof. In M&A, if the attorney represented the buyer/acquirer, DO NOT list the acquired target as adverse (since it becomes the client); instead list only the selling side (seller, stockholders, founders, or divesting company). If the attorney represented the seller/target, list the buyer/acquirer. Use cues like \u201cto/with/from/against,\u201d \u201csale to/by,\u201d \u201cacquisition from/by,\u201d \u201cmerger with,\u201d \u201cfinanced by/loan to/from/credit facility with.\u201d In the attorney represented the owner or owning entity of a subsidiary/portfolio company (for example in the case of a restructuring or lending transaction), DO NOT list the subsidiary/portfolio company as adverse; Do not list governments/agencies/courts. Only include an adverse party if its name appears verbatim in the source code and clearly identifies a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). If the text does not contain the adverse party's name, do not include it. Output a deduplicated array of exact names; omit unnamed parties and never guess.'\r\n 'affinity_groups' => 'Extract ALL affinity/identity-based organizations the attorney is affiliated with on the page, even if under generic headings like \u201cAssociations,\u201d \u201cMemberships,\u201d \u201cAffiliations,\u201d \u201cCommunities,\u201d or \u201cOrganizations.\u201d Check all sections of the source code. Include all bar or professional association whose name signals an identity/affinity or civil-rights focus (e.g., words like Black/African-American/AAPI/Asian/South Asian/Pacific Islander/Hispanic/Latino/Native/Indigenous/LGBT/LGBTQ/Queer/Women/Gender/Disability/Veteran/Jewish/Muslim/Christian/Hindu/Sikh/Interfaith/Civil Rights/Minority/Diversity/Inclusion). Exclude purely general trade/professional groups without such identity focus. Return a deduplicated array of exact organization names; if none, return empty array.'"]}


[System] Extract the following details from the provided HTML source code. Return only a valid JSON object. Do not include any other text.

[User]
{"html":"

Michael S. Weisenbach

Partner
michael.weisenbach@wilsonelser.comSt. Louis, MOp. 314.930.2871
BiographyEventsNews

Mike Weisenbach focuses his practice on defense of corporate and insurance clients in a wide variety of civil litigation matters, including general, premises and products liability, transportation claims and toxic tort claims.Â Mike has first-chair experience, having taken bench and jury trials to verdict in state and federal court.Â He alsoÂ has many successful outcomes for clients on dispositive motions, including successful appellate defense of a trial court dismissal after briefing and oral argument.Â Mikeâ€™s clients value his extensive experience with complex discovery issues because he understands the importance of protecting his clientâ€™s information while complying with their discovery obligations.Â Above all, Mike understands that his clients deserve efficient, custom-tailored representation to achieve favorable resolution on the best terms.Â
\n
During law school, Mike worked as a judicial law clerk for the judges and magistrates of the Franklin County Municipal Court in Columbus, Ohio, researching and writing judicial opinions on a wide range of civil and criminal issues.Â This experience gave him early insight, from the courtâ€™s point of view, into the value andÂ components of good legal arguments based on full development of the facts of the case.

Education

Ohio State University Moritz College of Law (J.D., 2009)

Moot Court; executive editor, Ohio State Journal of Criminal Law

Eastern Michigan University (B.S., cum laude, 2006)

Bar Admissions

Missouri

Illinois

Michigan

Court Admissions

U.S. District Court, Northern District of Illinois

U.S. District Court, Southern District of Illinois

U.S. District Court, Northern District of Indiana

U.S. District Court, Eastern District of Michigan

Awards & Honors

Selected for inclusion in The Best Lawyers in AmericaÂ® Ones to Watchâ„¢, 2024-2025
\n\t
Illinois Super Lawyers Rising Stars, 2016-2020
\n\t
Michigan Super Lawyers Rising Star, 2013
\n

Services

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Mike Weisenbach focuses his practice on defense of corporate and insurance clients in a wide variety of civil litigation matters, including general, premises and products liability, transportation claims and toxic tort claims.Â Mike has first-chair experience, having taken bench and jury trials to verdict in state and federal court.Â He alsoÂ has many successful outcomes for clients on dispositive motions, including successful appellate defense of a trial court dismissal after briefing and oral argument.Â Mikeâ€™s clients value his extensive experience with complex discovery issues because he understands the importance of protecting his clientâ€™s information while complying with their discovery obligations.Â Above all, Mike understands that his clients deserve efficient, custom-tailored representation to achieve favorable resolution on the best terms.Â
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During law school, Mike worked as a judicial law clerk for the judges and magistrates of the Franklin County Municipal Court in Columbus, Ohio, researching and writing judicial opinions on a wide range of civil and criminal issues.Â This experience gave him early insight, from the courtâ€™s point of view, into the value andÂ components of good legal arguments based on full development of the facts of the case.
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Michael S. Weisenbach

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\n","instructions":["'first_name' => 'Extract only the attorney\\'s first name.',\r\n'middle_name' => 'Extract only the attorney\\'s middle name or middle initial, as it is presented. If not found, return an empty string.',\r\n'surname' => 'Extract the attorney\u2019s last name or family name',\r\n'email' => 'Extract a valid email address for the profiled attorney. If not found, return an empty string.',\r\n'title' => 'Extract the profiled attorney\\'s job title. Ensure it is properly capitalized.The attorney can have multiple titles, in which case list them all as an array. If no title is found, return an empty array.',\r\n'location' => 'Extract the office name or city name in which this attorney works, as it is listed. The attorney may work out of two offices, in which case both should be listed. List them as an array.',\r\n'direct_phone_no_1' => 'Extract the direct office phone number listed for this attorney. If multiple phone numbers are listed, select the one that is their direct line, not the main or central office number, nor a fax number. If the attorney works out of two offices and has a direct line for each office, list the first here. If a direct line is unavailable, but a main or central office number is listed with an extension, list that number followed by EXT and the extension number',\r\n'direct_phone_no_2' => 'Extract the second direct office phone number listed for this attorney, if it exists. If multiple direct phone numbers are listed because the attorney works out of two office, select the second number \u2013 not the one listed in the prior item. Select only a number that is the attorney\u2019s direct line, not the main or central office number, nor a fax number.',\r\n'image_url' => 'Extract the URL for the attorney\u2019s image file',\r\n'linkedIn' => 'Extract the URL for the attorney\u2019s LinkedIn profile, if it is listed. If not found, return an empty string.',\r\n'narrative_description' => 'Extract and combine all sections that provide a narrative overview of the attorney\u2019s biography and general work experience. Do not paraphrase, summarize, or omit information. Include the Biography/Bio section(s) and also include any Experience section that contains narrative descriptions of work (including sections structured as practice-area headings followed by descriptive paragraphs, e.g., \"Aging Services\" + paragraph text, \"Dental\" + paragraph text, etc.). Preserve headings and the order of content as it appears; you may convert embedded highlights into bullet points only if it helps preserve (not reduce) the information. EXCLUDE: any section (or subsection) that exclusively lists specific representative matters / representative experience items (typically a list of discrete matters, case captions like \"X v. Y\", deal/transaction bullet points, dated entries, courts/dockets, or similar itemized matter lists). If an Experience (or other) section contains BOTH narrative description AND a separate list of specific matters, include the narrative paragraphs/headings but omit the itemized matter list. Return the combined narrative text only. If no narrative bio or general-experience narrative exists, return an empty string.',\r\n'representative_matters' => 'Extract ALL representative matters (such as litigation cases, verdicts, transactions, or deals) that are listed as well any available descriptions of them, in both specified lists of representative matters, experience, and work highlights, as well as in the biographical text and list of news articles. If news articles for this attorney identify cases or transactions that can be inferred to be the work product of this attorney, include those matters as well. List the representative matters and their available descriptions as an array. Only pull from the text and do not paraphrase or make anything up. If no representative matters are found, return an empty string.',\r\n'news' => 'Extract news items ABOUT this attorney (not authored by them): e.g., firm/industry press releases, announcements, awards, rankings, deal/case results naming them, media coverage quoting or profiling them. List each item as \"Title (URL)\". If a \u201cNews\u201d section mixes authored content, include ONLY items that are clearly about the attorney or the firm, not implied to be authored by the attorney. Add base domain to relative links. Return an empty array [] if none.',\r\n'practice_areas' => 'Extract all the practice areas (aka departments, specialties, capabilities, services areas, areas of focus, etc.), if any, that are listed as ones that this attorney specializes in. Return them as an array. If not found, return an empty string.',\r\n'law_school' => 'Extract the law school attorney attended. This is for their primary law degree, usually a JD, LLB, or, in the absence of those, the earliest LLM listed or the institution where they received an undergraduate law degree. If not found, return an empty string.',\r\n'law_school_graduation_year' => 'Extract the year in which the attorney received their degree from the law school above (what year did they graduate?) If not found, return an empty string.',\r\n'law_school_honors' => 'Extract all honors this attorney received in or during law school. You must review all education and credentials sections that list their law degree AND ALSO the narrative bio, as well as all other sectiosn. These honors include: latin honors (cum laude, summa cum laude, magna cum laude); school specific honors (e.g. James Kent Scholars at Columbia Law); regular honors designations (e.g. Dean\u2019s List, High Honors, etc.); Order of the Coif; course prizes (such as book awards, CALI Awards, American Jurisprudence Awards, or course awards); membership in phi kappa phi; scholarships and fellowships; moot court awards; trial advocacy awards; best oralis; brief-writing honors or other writing honors; pro bono or service distinctions; commencement prizes and medals; or other types of academic law school honors (but list them specifically - do not list them as \"other honors\". Return this entire extracted list of specific honors as an array. If no honors are found, return an empty array.',   \r\n'law_journals' =>' Extract any law reviews or law journals listed for the attorney's time in law school. Also list if the attorney had any titles in such law reviews or journals, like Articles Editor for example. Return this entire extracted list of law reviews and journals, and associated titles, as an array. If no law reviews or journals are found, return an empty array.'\r\n'undergraduate_school' => 'Extract the attorney\\'s undergraduate degree-granting school, college, university, or institution. This is probably the institution from where they received a bachelors degree. If their undergraduate degree was an LLB listed for their law school above, return an empty string. If no undergraduate schools are found, return an empty string.',\r\n'undergraduate_school_graduation_year' => 'Extract the year in which attorney received their undergraduate degree from the undergraduate school above. If not found, return an empty string.',\r\n'undergraduate_specialty' => 'Extract the specialties or majors that are listed for the undergraduate degree (e.g. economics, computer science, etc.) This does not include degree type, like B.S., Bachelor of Arts or Science degree, etc. List the specialties or majors as an array. If not found, return an empty string.',\r\n'PhD_school' => 'If this attorney has a PhD, Extract the educational institution from which they received it. If not found, return an empty string.',\r\n'PhD_subject' => 'If this attorney has a PhD, list the educational institution from which they received it. If not found, return an empty string.',\r\n'Masters_degree_school' => 'If this attorney has a masters degree, extract the educational institution from which they received it. But do not list schools from which the attorney received an LL.M. degree or a masters in law. If no masters degree schools are found, return an empty string. ',\r\n'Masters_degree_subject' => 'If the attorney has a masters degree, extract the subject or area of study of the masters. The subject area may be in the degree itself, such as an M.Div, which is a masters in Divinity. But do not include subjects for LL.M. degrees or masters in law degrees. DO NOT include honors or latin honors (e.g. cum laude, summa cum laude) in your answer. List subjects as array. If no masters degree subjects are found, return an empty string.',\r\n'MBA_School' => 'If the attorney has a Masters in Business Administration, extract the name of the business school from which they received it. If not found, return an empty string.',\r\n'MD_school' => 'If the attorney has an MD (Doctor of Medicine) or DO (Doctor of Osteopathy) degree, extract the name of the medical school from which they received it. If not found, return an empty string.',\r\n'llm_in_tax_law_school' =>  'If the attorney has an masters in laws (LLM) degree, specializing in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'Other_LLM_school' => 'If the attorney has an masters in laws (LLM) degree, but not one that specializes in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'bar_and_court_admissions' => 'Extract EVERY explicit admission to practice (bar + court/agency) anywhere in the page. Include bar jurisdictions (states/provinces/territories/countries) and court/agency admissions (e.g., U.S. Supreme Court, Courts of Appeals with circuit, District/Bankruptcy/Tax/Federal Claims courts with district, USPTO, tribal/military/foreign courts). For UK attorneys, specify whether they are a solicitor, barrister, advocate, or any combination if available; for Canada, specify the province or territory; for Australia, specify the state or territory and whether they are admitted as a solicitor or barrister. Pull items under headings like \u201cAdmissions,\u201d \u201cBar Admissions,\u201d \u201cCourt Admissions,\u201d or similar, and treat each
 or clearly separated entry as one item. Do not infer from memberships/education. Exclude governments as parties, and strip years and dates. Output a deduplicated array of exact admission strings; if none, return []. ',\r\n'Clerkships' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, DO NOT include it in your answer. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Clerkships_with_judge' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, include it in parentheses after the court name, and if no judge is named, return only the court. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that lack judge names or that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Memberships' => 'Extract any organizations the attorney a member of. List them as an array, with the attorney's role if available. If no memberships or organizations are listed, return an empty string.',\r\n'clients' => 'Extract the attorney's clients that are explicitly NAMED in the source code. You MUST review EVERY section (including explicit client lists, narrative biography, representative matters, experience, and news articles/titles) and then MERGE the results; do not stop after finding clients in any one section. If a list of representative matters or experience is present, extract NAMED clients from this list, and ignore any clients who are described in the list but who are not explicitly named in the list. Only include a client from the list of representative matters/experience or any other section if its name appears verbatim in the list and if the list clearly identifies the client as a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). As an overarching rule, if the client is not identified by a proper name, do not include it. When pulling clients from lists of representative matters/experience and news articles, include clients which are named and which are implied to be represented by this attorney, their team or firm, and exclude parties adverse to such clients, opposing such clients, or on the other side of a case, deal or transaction from such clients. For example, if the representative matter/experience or news article's title mentions a lending transaction with both the lender and borrower, and the attorney or their team or firm represented the lender, do not list the borrower. If a litigation case is listed, do not assume that the lawyer represented the plaintiff. Use context or other language in the text to determine which party was represented by the attorney. If a matter lists the government as one party, assume the attorney represented the other named party and include that party if it is specifically named and not anonymous. As another example, if the representative matter/experience is a litigation case, and it is written that the attorney represented the defense (or \"defended\" his client), extract the defendant named in the case title. List all named clients as a deduplicated array of NAMES copied directly from the source text. Omit unnamed parties and anonymous parties and never guess identities. If no named clients are explicitly named anywhere in the source code, return an empty string.',\r\n'industries' => 'Extract ONLY industries/industry sectors or client-type categories explicitly named in the source code (especially, but not exclusively, under headings like \u201cIndustries,\u201d \u201cPractices & Industries,\u201d or in /industries/ links). Include items like \u201cSports,\u201d \u201cHealthcare & Life Sciences,\u201d \u201cTechnology,\u201d \u201cInfrastructure,\u201d \u201cPrivate Equity,\u201d etc. EXCLUDE practice areas, services, or deal/matter types (e.g., \u201cMergers & Acquisitions,\u201d \u201cPrivate Equity M&A,\u201d \u201cacquisitions,\u201d \u201cinvestments,\u201d \u201cdivestitures,\u201d \u201cjoint ventures,\u201d \u201cfinancing,\u201d \u201crestructurings\u201d). Return a deduplicated array of industry/client-type names as written. If none are explicitly named, return empty array.',\r\n'languages' => 'Extract the languages in which the attorney is fluent. List them as an array.',\r\n'Accolades' => 'Extract any accolades, awards, or other special recognitions this attorney has received, such as rankings in Chambers guides (like Chambers & Partners, Chambers Gobal, or Chambers Asia-Pacific), the Legal500 list, and SuperLawyers, among others. The accolades should be specific to this attorney or their work, not generalized to their practice or their firm. List these accolades as an array. If no accolades are listed, return an empty string.',\r\n'pro_bono_activities' => 'Extract the attorney's pro bono, community service, and volunteer activities, as well as any non-profit, ngo, community service organizations the attorney may be involved with. If a description of the work is provided, include that. List them as an array',\r\n'thought_leadership' => 'Extract ALL professional thought leadership attributed to this attorney in their narrative bio and in all \"Insights,\" \"Publications,\" \"Events,\" and similar sections. This includes all items with their authorship/co-authorship/speaking/hosting credit/(byline \u201cauthor,\u201d \"co-author,\" \u201cpresenter,\u201d \u201cspeaker,\u201d \u201cpanelist,\u201d \u201cwebinar,\u201d \u201cpodcast,\u201d \u201cblog,\u201d \u201carticle,\u201d \u201cpublication,\u201d \u201cchapter,\u201d \u201cCLE,\u201d etc.). This also includes any items that do not include their byline or credit, but which are implied to involve the attorney (for example, by being listed in a section on their profile for \"Insights,\" \"Podcasts,\" \"Events,\" \"Media,\" \"Thought Leadership,\" \"Webinars, etc.). If a \u201cNews\u201d or \u201cInsights\u201d section mixes third party news ABOUT this attorney, include only items implied to the attorney as creator/presenter. List each as \"Title (URL)\" when a link is present, otherwise just the title. Add base domain to relative links. Also include the publication, event/program, and date after the title if these are available. Return [] if none.'\r\n'adverse_parties' => 'Review all the source code, including the narrative bio and list of representative matters, and list EVERY identifiable and NAMED party that is adverse to this attorney\u2019s clients: litigation opponents and transaction counterparties (buyer vs seller, lender vs borrower, landlord vs tenant, licensor vs licensee, insurer vs insured, issuer vs underwriter/investor, etc.). You MUST pull from all sections in the source code - explicit lists of clients, the narrative biography, listed representative matters, or in news articles listed for this attorney, or the titles thereof. In M&A, if the attorney represented the buyer/acquirer, DO NOT list the acquired target as adverse (since it becomes the client); instead list only the selling side (seller, stockholders, founders, or divesting company). If the attorney represented the seller/target, list the buyer/acquirer. Use cues like \u201cto/with/from/against,\u201d \u201csale to/by,\u201d \u201cacquisition from/by,\u201d \u201cmerger with,\u201d \u201cfinanced by/loan to/from/credit facility with.\u201d In the attorney represented the owner or owning entity of a subsidiary/portfolio company (for example in the case of a restructuring or lending transaction), DO NOT list the subsidiary/portfolio company as adverse; Do not list governments/agencies/courts. Only include an adverse party if its name appears verbatim in the source code and clearly identifies a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). If the text does not contain the adverse party's name, do not include it. Output a deduplicated array of exact names; omit unnamed parties and never guess.'\r\n 'affinity_groups' => 'Extract ALL affinity/identity-based organizations the attorney is affiliated with on the page, even if under generic headings like \u201cAssociations,\u201d \u201cMemberships,\u201d \u201cAffiliations,\u201d \u201cCommunities,\u201d or \u201cOrganizations.\u201d Check all sections of the source code. Include all bar or professional association whose name signals an identity/affinity or civil-rights focus (e.g., words like Black/African-American/AAPI/Asian/South Asian/Pacific Islander/Hispanic/Latino/Native/Indigenous/LGBT/LGBTQ/Queer/Women/Gender/Disability/Veteran/Jewish/Muslim/Christian/Hindu/Sikh/Interfaith/Civil Rights/Minority/Diversity/Inclusion). Exclude purely general trade/professional groups without such identity focus. Return a deduplicated array of exact organization names; if none, return empty array.'"]}