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

[User]
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                        \n                                                                                \n\t\t\t\t\tHome > Professionals > Vincent R. Lodato\t\t\t\t\t\n            \n\t\t\t\t                    \n                        Download vCard\n
Practices
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Litigation
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Product Liability
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Vincent R. LodatoOf Counsel
\n\t\t\t\t\tNewark, NJ(973) 643-5891vlodato@sillscummis.com                \n\t\t\t\t\t
Vincent R. Lodato is Of Counsel to Firmâ€™s Litigation Department. Mr. Lodatoâ€™s practice concentrates on defending product liability and toxic tort matters involving medical devices, pharmaceuticals, consumer products, chemical products and class actions. His experience includes serving as part of national counsel teams defending a stroke prevention medication, a Parkinsonâ€™s Disease medication, HRT products and latex glove manufacturers. He has also defended medical device, pharmaceutical and consumer product companies in personal injury actions involving aortic stent grafts, adhesion barriers, spinal catheters, knee and hip implants, syringes, ambulance stretchers, cosmetic products and numerous prescription and over the counter medications. Mr. Lodato has also defended class actions involving medical devices and consumer goods and services. Moreover, he has litigated various types of personal injury matters including New York Labor Law claims, workplace accidents and premises liability actions. He has also litigated commercial matters involving patents, trade secrets, contract disputes and employment matters on behalf of several prominent corporations.Â Â Â Read More...
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His responsibilities in these litigations have included identifying and collecting fact discovery, managing e-discovery issues, developing and implementing defense strategies, working with local counsel and national defense counsel, preparing corporate and expert witnesses, conducting depositions of plaintiffs, treating physicians and experts, and preparing discovery and dispositive and Daubert motions. Mr. Lodato has particular experience in litigating FDA regulatory issues, including pre-emption issues, and routinely works with regulatory experts to develop defense strategies and to prepare for deposition and trial testimony.
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Mr. Lodato graduated from Seton Hall University School of Law magna cum laude. While at Seton Hall, Mr. Lodato was a member of the Seton Hall Law Review and completed internships with the New Jersey Division on Civil Rights and the Honorable Philip B. Cummis in Essex County.Â Â Â Read Less
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Vincent R. Lodato is Of Counsel to Firmâ€™s Litigation Department. Mr. Lodatoâ€™s practice concentrates on defending product liability and toxic tort matters involving medical devices, pharmaceuticals, consumer products, chemical products and class actions. His experience includes serving as part of national counsel teams defending a stroke prevention medication, a Parkinsonâ€™s Disease medication, HRT products and latex glove manufacturers. He has also defended medical device, pharmaceutical and consumer product companies in personal injury actions involving aortic stent grafts, adhesion barriers, spinal catheters, knee and hip implants, syringes, ambulance stretchers, cosmetic products and numerous prescription and over the counter medications. Mr. Lodato has also defended class actions involving medical devices and consumer goods and services. Moreover, he has litigated various types of personal injury matters including New York Labor Law claims, workplace accidents and premises liability actions. He has also litigated commercial matters involving patents, trade secrets, contract disputes and employment matters on behalf of several prominent corporations.
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His responsibilities in these litigations have included identifying and collecting fact discovery, managing e-discovery issues, developing and implementing defense strategies, working with local counsel and national defense counsel, preparing corporate and expert witnesses, conducting depositions of plaintiffs, treating physicians and experts, and preparing discovery and dispositive and Daubert motions. Mr. Lodato has particular experience in litigating FDA regulatory issues, including pre-emption issues, and routinely works with regulatory experts to develop defense strategies and to prepare for deposition and trial testimony.
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Mr. Lodato graduated from Seton Hall University School of Law magna cum laude. While at Seton Hall, Mr. Lodato was a member of the Seton Hall Law Review and completed internships with the New Jersey Division on Civil Rights and the Honorable Philip B. Cummis in Essex County.
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Practices
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Litigation
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Product Liability
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Court Admissions
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U.S. District Court, District of New Jersey
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Newsroom
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Publications
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Debate Over Third-Party Presence and Recording Devices at Defense Medical Examinations
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New Jersey Law Journal - Product Liability & Class Action Supplement

December 11, 2023
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Artificial Intelligence and You: Perfect Together?
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New Jersey Law Journal â€“ E-Discovery & Complex Litigation Supplement

April 11, 2022
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Discovery of Litigation Funding in NJ Mass Tort Litigation: Charting a Course
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New Jersey Law Journal

December 16, 2019
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Third Circuit Resolves Tension Between Snap Removals and the Forum Defendant Rule
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New Jersey Law Journal â€“ E-Discovery & Complex Litigation Supplement

April 15, 2019
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Personal Jurisdiction in the Wake of â€˜Bristol-Myers Squibbâ€™
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New Jersey Law Journal â€“ Product Liability & Class Action Supplement

December 11, 2017
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In Re Reglan Litigation: New Jersey Supreme Court Holds that Failure to Timely Update Claims Against Generic Drug Manufacturers Are Not Pre-Empted by Federal Law
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International Association of Defense Counselâ€™s Drug, Device and Biotechnology Committee Newsletter

September 1, 2016
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Poking Holes in Pliva v. Mensing: Are Failure to Timely Update Label Claims Cognizable?
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Metropolitan Corporate Counsel

January 1, 2015
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Can Design-Defect Claims against Generic Pharma Survive? Pre-Emption under Pliva v. Mensing
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New Jersey Law Journal â€“ Product Liability & Toxic Tort Supplement

December 17, 2012
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Reducing the Impact of the Internet on Product-Liability Jury Trials
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New Jersey Law Journal â€“ Product Liability & Toxic Torts Supplement

December 12, 2011
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Product Liability Actions and the Consumer Fraud Act: Living Together in Disharmony
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New Jersey Law Journal â€“ Product Liability & Toxic Torts Supplement

November 22, 2010
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Parallel Claims: Exact Contours Will Continue to Be Litigated
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New Jersey Law Journal â€“ Product Liability & Toxic Torts Supplement

December 14, 2009
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Effective Use of a Regulatory Expert in Product Liability Litigation
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Metropolitan Corporate Counsel

November 1, 2009
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Emerging Litigation Involving Human Research Subjects: A Future for Class Actions?
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American Bar Association â€” The Brief

June 1, 2006
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The Role of Class Actions in Litigation Involving Human Research Subjects
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5 BNA Class Action Litigation Report 182

March 12, 2004
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Client Alerts
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Say Goodbye to Chevron Deference
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Product Liability

August 28, 2024
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Dâ€™Addario v. Johnson & Johnson â€“ New Jersey Federal Court Addresses Express Pre-Emption In Class III Medical Device Case
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Product Liability

April 4, 2023
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New Jersey Appellate Division Holds that Plaintiffs Bear the Burden of Establishing Special Conditions Justifying the Presence of Third Parties or Recording Devices at Defense Medical Examinations
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Product Liability

June 28, 2022
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New Jersey Appellate Division Finds that Evidence of 510(k) Clearance Cannot be Categorically Excluded in Medical Device Product Liability Cases
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Product Liability

April 21, 2021
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So You Want to Point the Finger at a Settling Defendant at Trial: A New Jersey Supreme Court Case You Should Know
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Product Liability

July 31, 2020
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Challenges Facing the Non-Settling Defendant: How to Present Evidence of a Settling Defendant's Liability Without Running Afoul of NJ's Evidentiary Rules
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Product Liability

August 1, 2018
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In Re Reglan Litigation: New Jersey Supreme Court Holds that Failure to Timely Update Claims against Generic Drug Manufacturers Are Not Pre-Empted by Federal Law
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Product Liability

August 24, 2016
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Perdue v. Wyeth Pharmaceuticals, Inc.: A Triple Knockout on Pre-Emption and Innovator Liability Grounds
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Product Liability

August 3, 2016
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The New Jersey Supreme Court Puts Teeth Back into the â€œNet Opinionâ€� Rule
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Product Liability

April 29, 2015
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Documents Prepared by Hospitals and other Healthcare Facilities during the Investigation and Evaluation of an Adverse Event Are Privileged under New Jerseyâ€™s Patient Safety Act
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Product Liability

October 23, 2014
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Alabama Supreme Court: Brand-Name Pharmaceutical Manufacturer Can Be Sued for Injury Caused by Generic Product
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Product Liability

March 1, 2013
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Kendall v. Hoffman-LaRoche, Inc. â€“ The Interplay between the New Jersey Product Liability Act's Presumption of Adequacy for FDA-Approved Warnings and the Discovery Rule in Evaluating a Statue of Limitations Defense
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Product Liability

February 1, 2012
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Pliva, Inc. v. Mesing â€“ United States Supreme Court Holds That Failure to Warn Claims against Generic Pharmaceutical Manufactures Are Pre-Empted by Federal Law
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Product Liability

June 1, 2011
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Rankings and Recognition
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Selected for inclusion in:
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New Jersey Super LawyersÂ®* \"Rising Stars\" 2009, 2012-2013, Personal Injury - Products Defense, Personal Injury - General Defense, General Litigation
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* SeeÂ Award Methodology. No aspect of this advertisement has been approved by the Supreme Court of New Jersey.
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Education
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J.D., Seton Hall University School of Law (magna cum laudeâ€¯)
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B.A., University of Delaware
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Bar Admissions
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New Jersey

New York

\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":"Skip to content\n\t\t\t\t\t\t\t\t\t
NAME:
\t\t\t\t\t\t\t\t\n\t\t\t\t\tMohamed â€œMoâ€� Z. Somji\t\t\t\t\n\t\t\t\t\t\t\t\t\t
EMAIL:
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mzsomji@mijs.com
\n\t\t\t\t\t\t\t\t\t
EDUCATION:
\t\t\t\t\t\t\t\t\n\t\t\t\t\t
University of Florida, B.A. in Environmental Policy â€“ 2013
\nUniversity of Florida, J.D. - 2016
\n\t\t\t\t\t\t\t\t\t
BAR MEMBERSHIPS:
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State Of Florida
\n\t\t\t\t\t\t\t\t\t
PRACTICE AREAS:
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Construction Defect Litigation
\n\t\t\t\t\t
Mo is originally from Tanzania and is a double Gator having graduated from the University of Florida, where he received both his Bachelor of Arts in Environmental Policy and his Juris Doctorate.
\nPrior to joining the firm, Mo devoted his practice to commercial litigation, focusing on construction law and complex multiparty construction defect litigation.
\n
Mo is passionate about helping others solve complex issues. His education and training uniquely positions him to assist individuals and businesses in tailoring solutions and executing strategy to obtain their desired results and the most favorable outcomes. Outside the office, Mo enjoys spending time with his family and rooting for the Florida Gators. He also enjoys volunteering in the community and helping others
\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":"\t\t\t\t\t
Sara R. David
\n\t\t\t\t\tPartner\n\t\t\t\t\t
\n\t\t\t\t\t\tP:212-683-7100  ext. 116
\n\t\t\t\t\t\t\t\t\t\t\t\t\tF:201-343-1223
\n\t\t\t\t\t\t\t\t\t\t\t\tE:sdavid@gvlaw.com\n\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t
Sara R. David
\n\t\t\t\t\tPartner\n\t\t\t\t\t
\n\t\t\t\t\t\tP:212-683-7100  ext. 116
\n\t\t\t\t\t\t\t\t\t\t\t\t\tF:201-343-1223
\n\t\t\t\t\t\t\t\t\t\t\t\tE:sdavid@gvlaw.com\n\t\t\t\t\t
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Meet Sara
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Sara R. David is an experienced litigator who has successfully represented clients ranging from individuals, publicly and privately owned businesses, as well as large institutional clients in all phases of litigation, from inception through trial and appeal. Her practice focuses on commercial litigation, premises liability, construction law, New York Labor Law, general negligence, and contract disputes. She also has significant experience drafting and negotiating contracts, and litigating employment law matters involving discrimination, harassment, wrongful termination and FLSA claims.
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Prior to joining Gallo Vitucci Klar LLP, Sara represented an international restaurant franchise in variousÂ litigation and transactional matters, as well as one of the regionâ€™s largest supermarket chains in premises liability actions in both New York and New Jersey.
\n                                            Honors\n
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Managing Editor, New England Law Review, 2004-2005
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\n                                        Community Service\n
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Member, Board of Directors, JCC of Central New Jersey
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Practice Areas
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Labor and Employment
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Premises Liability
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Restaurant and Innkeeper Liability
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Trucking and Transportation
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Admissions
\n                                            Bar\n
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New York, 2006

New Jersey, 2006
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\n                                            Court\n
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U.S. District Court, District of New Jersey

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

U.S. Supreme Court
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Education
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New England School of Law, J.D., 2005

Brandeis University, B.A., 2001
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Recent News
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+James Mercante Featured on WBAL-TV 11 Baltimore to Discuss Major Settlement in Francis Scott Key Bridge Case (April 2026)
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+James Mercante and Joanna Grillo Featured in Latest Issue Of The New York Law Journal â€“ March 2026
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+Christopher Kendric and Kelli McGrath Secure Unanimous Defense Verdict in Tractor-Trailer Accident Case
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Representative Matters
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James v. Chestnut Holdings of New York, Inc., 222 N.Y.S.3d 445 (1st Dept. 2024)
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Harasim v. Eljin Constr. of N.Y., Inc., 106 A.D. 3d 642 (1st Dept. 2013)
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Meslin v. George, 119 A.D. 3d 915 (2d Dept. 2014)
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Paulik v. Chartis Select Ins. Co., 39 Misc. 3d 1212(A) (Sup. Ct., New York County 2013)
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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.'"]}