[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":"\t\t\t\t
\n\t\t\t\t\tJason\n\t\t\t\t\tE.\n\t\t\t\t\tMarkel \n\t\t\t\t
\n\t\t\t\tPartner\n\t

Buffalo

Albany

New York City

jmarkel@hodgsonruss.com

p 716.848.1395
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Jason concentrates his practice on complex civil litigation in both the trial and appellate courts. He is a former appeals court clerk and has written and argued numerous appeals in the New York State appellate courts.Â  His practice primarily encompasses general commercial and business litigation matters, such as disputes involving commercial contracts, contractor performance issues and construction contracts, corporate and partnership agreements, non-compete and non-solicitation clauses, and real property purchase agreements and leases.Â  He is also experienced with commercial general liability insurance coverage matters and general personal injury and insurance defense.
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As the Occupational Safety and Health Act (OSHA) Practice Leader, Jason also devotes a significant portion of his practice to OSHA consulting, regulatory compliance counseling, and the defense and management of OSHA inspections and whistleblower claims. He has represented manufacturers, construction contractors, sawmills, dairies, nonprofits, coating and dipping facilities, warehouse operators, supermarkets, fabricators, machine shops, trenchers, hospitals, nursing homes, and many other businesses. He has published numerous articles regarding OSHA enforcement practices, compliance, and strategies for mitigating OSHA exposures.
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Jason is a member of the firmâ€™s COVID-19 Litigation and Employment Action Team.Â  He aids clients with COVID-19 safety-related labor and employment issues, including OSHA and NYS-based compliance guidance and whistleblower claims. Â He also assists clients with the interpretation of contractual force majeure clauses and contractor performance and change order disputes over pandemic-related price and time adjustments in construction contracts.
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Jason has also given numerous webinar presentations addressing compliance and preparation for the defense of Paycheck Protection Program (PPP) loans and the litigation-based risks associated with Paycheck Protection Program (PPP) reviews and audits.Â  He is also a co-author of the firmâ€™s â€œBorrower Bewareâ€� series of PPP client alerts.
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<button>Services</button>
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Business Litigation
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Product Liability & Complex Tort
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Construction
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Education
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Occupational Safety & Health Act (OSHA)
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Retail
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Clerkships

New York State Court of Appeals, 1996-98

Education

Cornell University, B.S.
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Syracuse University College of Law, J.D., magna cum laude

Admissions

New York
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U.S. District Courts for the Western, Eastern, and Southern Districts of New York

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<button>Representative Work</button>
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Disparate Impact Discrimination Challenge
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Represented School District in Alleged â€œSick Buildingâ€� Case
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Successfully Defended Manufacturer in Alleged Breach of Distribution Agreement Matter
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Successfully Defended Public Benefit Corporation from Series of Administrative Challenges
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<button>Recognitions</button>
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Listed, Upstate New York Super Lawyers, (Business Litigation) 2007, 2011 - 2015, 2017 - 2020
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Former computer editor, Syracuse Law Review
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Justinian Honorary Law Society
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<button>News & Insights</button>
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<time>1.16.2026</time>Buffalo Marriott Niagara, 1340 Millersport Highway, Amherst, NY 14221 (Please Note New Venue)41st Annual School Client ConferenceÂ
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<time>10.17.2024</time>Hodgson Russ Occupational Safety & Health Act (OSHA) AlertOSHAâ€™s Top 10 Cited Safety Regulations for FY2024â€”A Repeat Performance
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<time>5.3.2024</time>Hodgson Russ Occupational Safety & Health Act AlertOSHA Alters the Balance on Employee Representation During Walkaround Inspections- Opening the Door to Union Organizing and Leaving Many Practical Questions Unanswered
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<time>8.8.2023</time>Hodgson Russ Occupational Safety & Health Act AlertOSHA Launches National Emphasis Program Targeting Warehousing and Distribution Operations
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<time>5.10.2022</time>Hodgson Russ Product Liability & Complex Tort AlertNew York Court of Appeals Reverses Multimillion Dollar Verdict
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<time>5.2022</time>Hodgson Russ Product Liability Litigation & Legislation Quarterly UpdateTrends in Product Liability Litigation & Legislation in New York - May 2022
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<time>3.28.2022</time>Hodgson Russ OSHA and Healthcare AlertOSHA Targets Healthcare Industry and Reopens Comment Period for COVID-19 Regulatory Standard
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<time>2.18.2022</time>Hodgson Russ OSHA and Labor & Employment AlertOSHA Withdraws COVID-19 Emergency Temporary Standard to Focus on Permanent Standard; Sixth Circuit Appeal Dismissed as Moot
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January/February 2022Hodgson Russ Product Liability Litigation & Legislation Quarterly UpdateTrends in Product Liability Litigation & Legislation in New York - January 2022
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<time>2.1.2022</time>Tax StringerPPP Loan Forgiveness: Preparing for and Responding to SBA Reviews, Appeals of Forgiveness Denials, and Other Governmental Scrutiny
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<button>+ See More- View Less</button>\n\t\t\t\t\t\t\t
<button>Professional</button>
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American Society of Safety Engineers
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Seminar41st Annual School Client ConferenceÂ
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AlertOSHAâ€™s Top 10 Cited Safety Regulations for FY2024â€”A Repeat Performance
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AlertOSHA Alters the Balance on Employee Representation During Walkaround Inspections- Opening the Door to Union Organizing and Leaving Many Practical Questions Unanswered
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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. Do not include prior locations that may be mentioned as where the attorney may have worked in the past.',\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":"        Home | Our Professionals | Kasey Fenn\n                                                                \n
Kasey Fenn
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Director of Professional Development & Recruiting
\n                                    Director of Professional Development & Recruiting\n
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\n                            \n                                303.892.7422\n                            \n
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\n                            \n                                kasey.fenn@davisgraham.com\n                            \n
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\n                            \n                                Download Contact Card\n                            \n
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Kasey Fenn brings over 20 years of extensive experience in legal talent management, with a career that includes prominent law firms in both New York City and Denver. She has a deep understanding of the constantly evolving legal landscape and is passionate about developing high-level recruiting and career development strategies.
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A proud graduate of Texas A&M University, Kasey has held various leadership positions with the Denver Area Legal Recruiting Association and the National Association of Law Placement (NALP). She has also presented on several topics at NALPâ€™s annual conferences.Â
\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. Do not include prior locations that may be mentioned as where the attorney may have worked in the past.',\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.

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{"html":"

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Megan Griffith

 Associate

 Houston

  (713) 651-9366

 Direct

  (713) 653-7846

  Email

 <button> vCard </button>

  Overview

  Notable Representations

  Honors

  Clerkships

  Education

  Admissions

  Publications

  Languages

 Overview

Meg Griffith represents plaintiffs and defendants in complex commercial litigation across the country. Meg joined Susman Godfrey after clerking for Judge Mark Wolf of the United States District Court for the District of Massachusetts and Justice Kimberly Budd of the Massachusetts Supreme Judicial Court. Between clerkships, Meg practiced commercial litigation and regulatory work at another leading firm in New York and London.

TRIAL WINS

Meg and a team of lawyers from Susman Godfrey won a $166.3 million jury verdict on behalf of Finesse Wireless LLC against AT&T Mobility LLC and Nokia Corporation of America over patent infringement claims relating to wireless networks. The jury delivered the verdict after three hours of deliberation following a week-long trial in the Eastern District of Texas. Meg was a key member of the trial team, leading critical depositions, putting up Finesseâ€™s infringement expert at trial, and playing a significant role in theÂ MarkmanÂ hearing win. This case was reported on by media outlets includingÂ Reuters,Â Nasdaq,Â Yahoo Finance,Â Bloomberg,Â Telecom Paper,Â Law360, andÂ Texas Lawbook.Â Read more.

Meg previously defended two individuals and their businesses in a partnership dispute where claims were valued at $70 million. Meg was a key player on her team leading up to and during trial. She led discovery efforts, secured a temporary injunction on counterclaims, successfully argued several critical motions, and won denial of the key aspects of Counter-Defendantsâ€™ motion for summary judgment. During the two-week trial, Meg examined friendly and adverse witnesses and successfully defended direct verdict motions on major counterclaims. The jury later rejected plaintiffâ€™s expertâ€™s model and awarded only 8% of her claim, a huge win for the defense.

Meg and a team of Susman Godfrey lawyers were hired less than six months before a preferentially set jury trial in Texas state court to represent a plaintiff in a nearly decade-long theft of trade secrets dispute between two manufacturing competitors. The team converted the case to binding arbitration, tried it, and secured a non-appealable award, which, after the payment of the firmâ€™s contingent fee, netted the client over $30 million.

Meg has also represented clients pro bono in unemployment, housing, child support, and immigration-related matters.

BACKGROUND

During law school, Meg pursued a dual-degree program, earning both a J.D. from Columbia and a Master in Economic Law from Sciences Po.Â She served as Head Articles Editor for theÂ Columbia Journal of European LawÂ and represented non-profit organizations through Columbia Law Schoolâ€™s Community Enterprise Clinic.

Meg was born in Houston and grew up in Texas, Louisiana, and Germany. She received her undergraduate degrees with honors from Boston University.Â Between college and law school, Meg taught high school mathematics in Donna, Texas through Teach For America.

 Notable Representations

 <button> Notable Representations </button>

Finesse Wireless LLC v. AT&T Mobility LLC and Nokia of America CorporationÂ (E.D. Tex.)Â Won a $166.3 million jury verdict on behalf of client Finesse Wireless LLC against AT&T Mobility LLC and Nokia Corporation of America over patent infringement claims relating to wireless networks. The jury delivered the verdict after three hours of deliberation following a week-long trial. This case was reported on by media outlets includingÂ Reuters,Â Nasdaq,Â Yahoo Finance,Â Bloomberg,Â Telecom Paper,Â Law360, andÂ Texas Lawbook.Â Read more.

Partnership Dispute (Harris County Dist. Ct. (Tex.)) Defended two individuals and their businesses in a partnership dispute where claims were valued at $70 million. During the two-week trial, Meg examined friendly and adverse witnesses and successfully defended direct verdict motions on major counterclaims. The jury later rejected plaintiffâ€™s expertâ€™s model and awarded only 8% of her claim, a huge win for the defense.

Confidential Trade Secret Arbitration.Â Hired less than six months before a preferentially set jury trial in Texas state court to represent a plaintiff in a nearly decade-long theft of trade secrets dispute between two manufacturing competitors and an employee who had defected to the competitor. The team converted the case to binding arbitration, tried it, and secured a non-appealable award, which, after the payment of the firmâ€™s contingent fee, netted the client a substantial award.

Mirada Energy LLC v., Equinor Energy LP (Denver County Dist. Ct. (Colo.); McKenzie County Dist. Ct. (N.D.)) Represented Mirada Energy and its affiliates against Equinor Energy LP in lawsuits arising out of Equinorâ€™s operations in the North Dakota Bakken oil and gas fields.Â Mirada claimed Equinor failed to offer Mirada (a working interest owner) an opportunity to participate in Equinorâ€™s lucrative midstream and non-drilling operations that serviced the wells. The Court affirmed Miradaâ€™s keyÂ positions related to the contracts in question after Megâ€™s successful briefing of summary judgment, ultimately leading to resolution of the matter.

In Re Blackbaud, Inc., Customer Data Security Breach Litigation (D.S.C)Â Served as counsel to plaintiffs in this action that relates to a massive data breach. Blackbaud, a cloud computing provider, maintains consumer data on behalf of thousands of non-profit corporations, hospitals, and educational institutions.Â  The complaint alleges that Blackbaud did not maintain adequate security measures, which led to a ransomware attack.Â  The stolen data included bank account information, social security numbers, health care data, usernames, and/or passwords.

State of Louisiana and Louisiana Parishes v. Chevron et al.(Cameron Parish Dist. Ct. and others)Â Defending Chevron in dozens of lawsuits relating to the loss of marsh land in Louisiana filed by Louisiana Parishes and the Louisiana Department of Natural Resources.

 Honors & Distinctions

Honors and Awards

Rising Star,Â Texas Super Lawyers (2025 Thomson Reuters)

Selected to the Institute forÂ Energy Lawâ€™sÂ 2023-24 Leadership Class

Harlan Fiske Stone Scholar

Paul R. Hays Prize in Civil Procedure

Parker School Certificate for Achievement in International & Comparative Law

Best in Class Awards, Civil Procedure and Contracts

Teaching Fellow, Contracts

 Clerkships

 Honorable Mark L. Wolf, United States District Court for the District of Massachusetts

 Honorable Kimberly S. Budd, Supreme Judicial Court of Massachusetts

 Education

Education

Columbia Law School (J.D.)

Institut dâ€™Ã©tudes politiques de Paris (Sciences Po) (Master in Economic Law)

Boston University (B.A. in International Relations, Concentration in East Asia and Foreign Policy/Security Studies, magna cum laude)

Boston University (B.Sc. in Communication, Concentration in Public Relations, summa cum laude)

 Admissions

Admissions

Bar Admissions

Texas

Massachusetts

New York

Court Admissions

U.S. Court of Appeals for the Second Circuit

U.S. Court of Appeals for the Fifth Circuit

U.S. Court of Appeals for the Tenth Circuit

U.S. Court of Appeals for the Federal Circuit

U.S. District Court for the District of Massachusetts

U.S. District Court for the Eastern District of New York

U.S. District Court for the Southern District of New York

U.S. District Court for the Eastern District of Texas

U.S. District Court for the Northern District of Texas

U.S. District Court for the Southern District of Texas

U.S. District Court for the Western District of Texas

 Publications

Article, Steer Clear of Excessive Deposition Objections, ABA Litigation Section (June 11, 2024).

Article, Navigating a Timed Arbitration: Strategies and Challenges in the Race Against the Clock, ABA Litigation Section: Alternative Dispute Resolution Committee (Mar. 19, 2024) (co-written with Laranda Walker)

Note,Â Freedom of Expression and the Chilling Effect on User-Generated Content in Europe, 22 Colum. J. Eur. L. 355 (2016).

Post,Â Driving While Non-European: Reaching a European Consensus on the Exchange of Driverâ€™s Licenses, CJEL: Preliminary Reference (Apr. 29, 2015).

 Languages

Languages

French

German

 Wins

 1.16.2023

  Susman Godfrey Wins $166.3 Million Jury Verdict Against AT&T and Nokia in Patent Litigation

 11.09.2022

  Susman Godfrey Secures Landmark Win for Flutter Entertainment in Multi-Billion Dollar Arbitration against FOX Corporation

 News & Awards
   More News & Awards

 11.19.2025

 News
  Over Half of Susman Godfrey Partnership Recognized by Super Lawyers in 2025

 8.01.2023

 News
  Associate Meg Griffith is Selected to the Institute for Energy Lawâ€™s 2023-2024 Leadership Class

   More News & Awards   \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. Do not include prior locations that may be mentioned as where the attorney may have worked in the past.',\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.'"]}