[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":"
IfeatuÂ OnyekonwuÂ
\n                        Â \n                        \n                            Law Clerk\n                         â€“ New York                                            \n                                                    T.+1 212 504 6296
\n                                                    ifeatu.onyekon@cwt.com \n
\n                        200 Liberty Street
\n                            New York, \n                                NY\n                            10281\n                        V-CARD\n
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Profile
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Ifeatu Onyekonwu is a law clerk in Cadwaladerâ€™s Capital Markets group.
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Ifeatu received her LL.M. from the New York University School of Law where she awarded the George Colin Award for distinction in the LL.M. Corporation Law Program. She also obtained an Advanced Certificate in Law and Business from the NYU Stern School of Business. Ifeatu earned her Bachelor of Laws (JD. equivalent) in Nigeria.
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Practice Areas
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\n                        Securitization & Asset Based Finance\n
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Education
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New York University School of Law
LL.M.
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\n            \n                            	\n            \n                IfeatuÂ OnyekonwuÂ \n
\n                    Law Clerk - New York                \n

\n                \n                                    T. +1 212 504 6296                \n
ifeatu.onyekon@cwt.com
\n                    200 Liberty Street
\n                                            New York                        ,                             NY                                            \n                                            10281                    \n              \n            	\n
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\n            \n                Practice Areas
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Securitization & Asset Based Finance
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Education
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New York University School of Law - LL.M.\n                            	\n            \n                Profile
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Ifeatu Onyekonwu is a law clerk in Cadwaladerâ€™s Capital Markets group.
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Ifeatu received her LL.M. from the New York University School of Law where she awarded the George Colin Award for distinction in the LL.M. Corporation Law Program. She also obtained an Advanced Certificate in Law and Business from the NYU Stern School of Business. Ifeatu earned her Bachelor of Laws (JD. equivalent) in Nigeria.
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Insights
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Qui Tam Lawsuits Introduce Uncertainty Over Public Authority\n
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Fund Finance Prepares for Lift-Off\n
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Not All Things Are Sacred: District Court Finds Wesco Aircraft Uptier Transaction Is Lawful\n
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Money For Nothing: Indictment Details Tricolor Executivesâ€™ Alleged Fraudulent Scheme in Black and White\n
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Securitisation and Fund Finance â€“ The Working Guide to Fund Finance\n
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Deals & Matters
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Cadwalader Guides Landmark Barings Infrastructure CLO\n
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Cadwalader Advises Funders on GB Railfreight Refinancing\n
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_____________________________________________\n
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\n                            Firm News\n
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Cadwalader Shortlisted for CEE Deal of the Year Awards for Fortenova Refinancing\n
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Cadwalader Advises Ares on $1.1 Billion HarbourVest Partners Structured Solutions 2025\n
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Cadwalader Advises on Financing for Stonepeakâ€™s Acquisition of Teletower\n
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Cadwalader Advises Barings on Financing for Partners Group Evergreen Private Loans Strategy\n
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Cadwalader Guides Landmark Barings Infrastructure CLO\n
\n","instructions":["'first_name' => 'Extract only the attorney\\'s first name.',\r\n'middle_name' => 'Extract only the attorney\\'s middle name or middle initial, as it is presented. If not found, return an empty string.',\r\n'surname' => 'Extract the attorney\u2019s last name or family name',\r\n'email' => 'Extract a valid email address for the profiled attorney. If not found, return an empty string.',\r\n'title' => 'Extract the profiled attorney\\'s job title. Ensure it is properly capitalized.The attorney can have multiple titles, in which case list them all as an array. If no title is found, return an empty array.',\r\n'location' => 'Extract the office name or city name in which this attorney works, as it is listed. The attorney may work out of two offices, in which case both should be listed. List them as an array.',\r\n'direct_phone_no_1' => 'Extract the direct office phone number listed for this attorney. If multiple phone numbers are listed, select the one that is their direct line, not the main or central office number, nor a fax number. If the attorney works out of two offices and has a direct line for each office, list the first here. If a direct line is unavailable, but a main or central office number is listed with an extension, list that number followed by EXT and the extension number',\r\n'direct_phone_no_2' => 'Extract the second direct office phone number listed for this attorney, if it exists. If multiple direct phone numbers are listed because the attorney works out of two office, select the second number \u2013 not the one listed in the prior item. Select only a number that is the attorney\u2019s direct line, not the main or central office number, nor a fax number.',\r\n'image_url' => 'Extract the URL for the attorney\u2019s image file',\r\n'linkedIn' => 'Extract the URL for the attorney\u2019s LinkedIn profile, if it is listed. If not found, return an empty string.',\r\n'narrative_description' => 'Extract and combine all sections that provide a narrative overview of the attorney\u2019s biography and general work experience. Do not paraphrase, summarize, or omit information. Include the Biography/Bio section(s) and also include any Experience section that contains narrative descriptions of work (including sections structured as practice-area headings followed by descriptive paragraphs, e.g., \"Aging Services\" + paragraph text, \"Dental\" + paragraph text, etc.). Preserve headings and the order of content as it appears; you may convert embedded highlights into bullet points only if it helps preserve (not reduce) the information. EXCLUDE: any section (or subsection) that exclusively lists specific representative matters / representative experience items (typically a list of discrete matters, case captions like \"X v. Y\", deal/transaction bullet points, dated entries, courts/dockets, or similar itemized matter lists). If an Experience (or other) section contains BOTH narrative description AND a separate list of specific matters, include the narrative paragraphs/headings but omit the itemized matter list. Return the combined narrative text only. If no narrative bio or general-experience narrative exists, return an empty string.',\r\n'representative_matters' => 'Extract ALL representative matters (such as litigation cases, verdicts, transactions, or deals) that are listed as well any available descriptions of them, in both specified lists of representative matters, experience, and work highlights, as well as in the biographical text and list of news articles. If news articles for this attorney identify cases or transactions that can be inferred to be the work product of this attorney, include those matters as well. List the representative matters and their available descriptions as an array. Only pull from the text and do not paraphrase or make anything up. If no representative matters are found, return an empty string.',\r\n'news' => 'Extract news items ABOUT this attorney (not authored by them): e.g., firm/industry press releases, announcements, awards, rankings, deal/case results naming them, media coverage quoting or profiling them. List each item as \"Title (URL)\". If a \u201cNews\u201d section mixes authored content, include ONLY items that are clearly about the attorney or the firm, not implied to be authored by the attorney. Add base domain to relative links. Return an empty array [] if none.',\r\n'practice_areas' => 'Extract all the practice areas (aka departments, specialties, capabilities, services areas, areas of focus, etc.), if any, that are listed as ones that this attorney specializes in. Return them as an array. If not found, return an empty string.',\r\n'law_school' => 'Extract the law school attorney attended. This is for their primary law degree, usually a JD, LLB, or, in the absence of those, the earliest LLM listed or the institution where they received an undergraduate law degree. If not found, return an empty string.',\r\n'law_school_graduation_year' => 'Extract the year in which the attorney received their degree from the law school above (what year did they graduate?) If not found, return an empty string.',\r\n'law_school_honors' => 'Extract all honors this attorney received in or during law school. You must review all education and credentials sections that list their law degree AND ALSO the narrative bio, as well as all other sectiosn. These honors include: latin honors (cum laude, summa cum laude, magna cum laude); school specific honors (e.g. James Kent Scholars at Columbia Law); regular honors designations (e.g. Dean\u2019s List, High Honors, etc.); Order of the Coif; course prizes (such as book awards, CALI Awards, American Jurisprudence Awards, or course awards); membership in phi kappa phi; scholarships and fellowships; moot court awards; trial advocacy awards; best oralis; brief-writing honors or other writing honors; pro bono or service distinctions; commencement prizes and medals; or other types of academic law school honors (but list them specifically - do not list them as \"other honors\". Return this entire extracted list of specific honors as an array. If no honors are found, return an empty array.',   \r\n'law_journals' =>' Extract any law reviews or law journals listed for the attorney's time in law school. Also list if the attorney had any titles in such law reviews or journals, like Articles Editor for example. Return this entire extracted list of law reviews and journals, and associated titles, as an array. If no law reviews or journals are found, return an empty array.'\r\n'undergraduate_school' => 'Extract the attorney\\'s undergraduate degree-granting school, college, university, or institution. This is probably the institution from where they received a bachelors degree. If their undergraduate degree was an LLB listed for their law school above, return an empty string. If no undergraduate schools are found, return an empty string.',\r\n'undergraduate_school_graduation_year' => 'Extract the year in which attorney received their undergraduate degree from the undergraduate school above. If not found, return an empty string.',\r\n'undergraduate_specialty' => 'Extract the specialties or majors that are listed for the undergraduate degree (e.g. economics, computer science, etc.) This does not include degree type, like B.S., Bachelor of Arts or Science degree, etc. List the specialties or majors as an array. If not found, return an empty string.',\r\n'PhD_school' => 'If this attorney has a PhD, Extract the educational institution from which they received it. If not found, return an empty string.',\r\n'PhD_subject' => 'If this attorney has a PhD, list the educational institution from which they received it. If not found, return an empty string.',\r\n'Masters_degree_school' => 'If this attorney has a masters degree, extract the educational institution from which they received it. But do not list schools from which the attorney received an LL.M. degree or a masters in law. If no masters degree schools are found, return an empty string. ',\r\n'Masters_degree_subject' => 'If the attorney has a masters degree, extract the subject or area of study of the masters. The subject area may be in the degree itself, such as an M.Div, which is a masters in Divinity. But do not include subjects for LL.M. degrees or masters in law degrees. DO NOT include honors or latin honors (e.g. cum laude, summa cum laude) in your answer. List subjects as array. If no masters degree subjects are found, return an empty string.',\r\n'MBA_School' => 'If the attorney has a Masters in Business Administration, extract the name of the business school from which they received it. If not found, return an empty string.',\r\n'MD_school' => 'If the attorney has an MD (Doctor of Medicine) or DO (Doctor of Osteopathy) degree, extract the name of the medical school from which they received it. If not found, return an empty string.',\r\n'llm_in_tax_law_school' =>  'If the attorney has an masters in laws (LLM) degree, specializing in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'Other_LLM_school' => 'If the attorney has an masters in laws (LLM) degree, but not one that specializes in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'bar_and_court_admissions' => 'Extract EVERY explicit admission to practice (bar + court/agency) anywhere in the page. Include bar jurisdictions (states/provinces/territories/countries) and court/agency admissions (e.g., U.S. Supreme Court, Courts of Appeals with circuit, District/Bankruptcy/Tax/Federal Claims courts with district, USPTO, tribal/military/foreign courts). For UK attorneys, specify whether they are a solicitor, barrister, advocate, or any combination if available; for Canada, specify the province or territory; for Australia, specify the state or territory and whether they are admitted as a solicitor or barrister. Pull items under headings like \u201cAdmissions,\u201d \u201cBar Admissions,\u201d \u201cCourt Admissions,\u201d or similar, and treat each
 or clearly separated entry as one item. Do not infer from memberships/education. Exclude governments as parties, and strip years and dates. Output a deduplicated array of exact admission strings; if none, return []. ',\r\n'Clerkships' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, DO NOT include it in your answer. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Clerkships_with_judge' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, include it in parentheses after the court name, and if no judge is named, return only the court. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that lack judge names or that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Memberships' => 'Extract any organizations the attorney a member of. List them as an array, with the attorney's role if available. If no memberships or organizations are listed, return an empty string.',\r\n'clients' => 'Extract the attorney's clients that are explicitly NAMED in the source code. You MUST review EVERY section (including explicit client lists, narrative biography, representative matters, experience, and news articles/titles) and then MERGE the results; do not stop after finding clients in any one section. If a list of representative matters or experience is present, extract NAMED clients from this list, and ignore any clients who are described in the list but who are not explicitly named in the list. Only include a client from the list of representative matters/experience or any other section if its name appears verbatim in the list and if the list clearly identifies the client as a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). As an overarching rule, if the client is not identified by a proper name, do not include it. When pulling clients from lists of representative matters/experience and news articles, include clients which are named and which are implied to be represented by this attorney, their team or firm, and exclude parties adverse to such clients, opposing such clients, or on the other side of a case, deal or transaction from such clients. For example, if the representative matter/experience or news article's title mentions a lending transaction with both the lender and borrower, and the attorney or their team or firm represented the lender, do not list the borrower. If a litigation case is listed, do not assume that the lawyer represented the plaintiff. Use context or other language in the text to determine which party was represented by the attorney. If a matter lists the government as one party, assume the attorney represented the other named party and include that party if it is specifically named and not anonymous. As another example, if the representative matter/experience is a litigation case, and it is written that the attorney represented the defense (or \"defended\" his client), extract the defendant named in the case title. List all named clients as a deduplicated array of NAMES copied directly from the source text. Omit unnamed parties and anonymous parties and never guess identities. If no named clients are explicitly named anywhere in the source code, return an empty string.',\r\n'industries' => 'Extract ONLY industries/industry sectors or client-type categories explicitly named in the source code (especially, but not exclusively, under headings like \u201cIndustries,\u201d \u201cPractices & Industries,\u201d or in /industries/ links). Include items like \u201cSports,\u201d \u201cHealthcare & Life Sciences,\u201d \u201cTechnology,\u201d \u201cInfrastructure,\u201d \u201cPrivate Equity,\u201d etc. EXCLUDE practice areas, services, or deal/matter types (e.g., \u201cMergers & Acquisitions,\u201d \u201cPrivate Equity M&A,\u201d \u201cacquisitions,\u201d \u201cinvestments,\u201d \u201cdivestitures,\u201d \u201cjoint ventures,\u201d \u201cfinancing,\u201d \u201crestructurings\u201d). Return a deduplicated array of industry/client-type names as written. If none are explicitly named, return empty array.',\r\n'languages' => 'Extract the languages in which the attorney is fluent. List them as an array.',\r\n'Accolades' => 'Extract any accolades, awards, or other special recognitions this attorney has received, such as rankings in Chambers guides (like Chambers & Partners, Chambers Gobal, or Chambers Asia-Pacific), the Legal500 list, and SuperLawyers, among others. The accolades should be specific to this attorney or their work, not generalized to their practice or their firm. List these accolades as an array. If no accolades are listed, return an empty string.',\r\n'pro_bono_activities' => 'Extract the attorney's pro bono, community service, and volunteer activities, as well as any non-profit, ngo, community service organizations the attorney may be involved with. If a description of the work is provided, include that. List them as an array',\r\n'thought_leadership' => 'Extract ALL professional thought leadership attributed to this attorney in their narrative bio and in all \"Insights,\" \"Publications,\" \"Events,\" and similar sections. This includes all items with their authorship/co-authorship/speaking/hosting credit/(byline \u201cauthor,\u201d \"co-author,\" \u201cpresenter,\u201d \u201cspeaker,\u201d \u201cpanelist,\u201d \u201cwebinar,\u201d \u201cpodcast,\u201d \u201cblog,\u201d \u201carticle,\u201d \u201cpublication,\u201d \u201cchapter,\u201d \u201cCLE,\u201d etc.). This also includes any items that do not include their byline or credit, but which are implied to involve the attorney (for example, by being listed in a section on their profile for \"Insights,\" \"Podcasts,\" \"Events,\" \"Media,\" \"Thought Leadership,\" \"Webinars, etc.). If a \u201cNews\u201d or \u201cInsights\u201d section mixes third party news ABOUT this attorney, include only items implied to the attorney as creator/presenter. List each as \"Title (URL)\" when a link is present, otherwise just the title. Add base domain to relative links. Also include the publication, event/program, and date after the title if these are available. Return [] if none.'\r\n'adverse_parties' => 'Review all the source code, including the narrative bio and list of representative matters, and list EVERY identifiable and NAMED party that is adverse to this attorney\u2019s clients: litigation opponents and transaction counterparties (buyer vs seller, lender vs borrower, landlord vs tenant, licensor vs licensee, insurer vs insured, issuer vs underwriter/investor, etc.). You MUST pull from all sections in the source code - explicit lists of clients, the narrative biography, listed representative matters, or in news articles listed for this attorney, or the titles thereof. In M&A, if the attorney represented the buyer/acquirer, DO NOT list the acquired target as adverse (since it becomes the client); instead list only the selling side (seller, stockholders, founders, or divesting company). If the attorney represented the seller/target, list the buyer/acquirer. Use cues like \u201cto/with/from/against,\u201d \u201csale to/by,\u201d \u201cacquisition from/by,\u201d \u201cmerger with,\u201d \u201cfinanced by/loan to/from/credit facility with.\u201d In the attorney represented the owner or owning entity of a subsidiary/portfolio company (for example in the case of a restructuring or lending transaction), DO NOT list the subsidiary/portfolio company as adverse; Do not list governments/agencies/courts. Only include an adverse party if its name appears verbatim in the source code and clearly identifies a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). If the text does not contain the adverse party's name, do not include it. Output a deduplicated array of exact names; omit unnamed parties and never guess.'\r\n 'affinity_groups' => 'Extract ALL affinity/identity-based organizations the attorney is affiliated with on the page, even if under generic headings like \u201cAssociations,\u201d \u201cMemberships,\u201d \u201cAffiliations,\u201d \u201cCommunities,\u201d or \u201cOrganizations.\u201d Check all sections of the source code. Include all bar or professional association whose name signals an identity/affinity or civil-rights focus (e.g., words like Black/African-American/AAPI/Asian/South Asian/Pacific Islander/Hispanic/Latino/Native/Indigenous/LGBT/LGBTQ/Queer/Women/Gender/Disability/Veteran/Jewish/Muslim/Christian/Hindu/Sikh/Interfaith/Civil Rights/Minority/Diversity/Inclusion). Exclude purely general trade/professional groups without such identity focus. Return a deduplicated array of exact organization names; if none, return empty array.'"]}


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

[User]
{"html":"
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Home

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\n\t\t\t\tCourtney\n\t\t\t\tCochran\n\t\t\t\tButler \n\t\t\t
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\n\t\t\t\t\tOverviewExperienceAccoladesInsightsNews\n\t\t\t\t\t\t
Overview
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Courtney advises clients in securities-related transactions with an aggregate value in excess of $100 billion. She is a trusted advisor to her clients, representing Fortune 10, Fortune 100 and Fortune 500 companies across a broad range of industries in connection with their capital markets, M&A and general corporate matters.
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As a seasoned capital markets attorney, Courtney advises corporations, investment banks and private equity firms on all forms of capital-raising transactions. Her practice includes registered offerings and private placements of debt securities, including green bonds, tender offers, exchange offers and commercial paper (CP) programs; registered offerings of equity securities, including initial public offerings (IPOs), at-the-market (ATM) offering programs, secondary offerings, preferred stock offerings, bought deals and registered directs; and private investments, including PIPEs and private equity investments.
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Courtney also advises public and private companies in structuring a wide array of strategic transactions, including mergers, acquisitions, complex joint ventures and corporate restructurings. A cornerstone of her practice also includes working hand-in-hand with public companies and their boards of directors on a variety of general corporate matters, including Exchange Act reporting, proxy and shareholder matters, NYSE and Nasdaq listing and compliance matters, insider trading, ESG disclosures, SEC compliance matters, including Regulation FD, Section 16 and Rule 144, and corporate governance matters.
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In addition to her extensive experience working with clients across the energy sector, Courtney has also had the pleasure of representing an impressive list of companies across a variety of industries, including retail and consumer products, electrical, banking, mining, distribution, technology and air transportation.
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Experience
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Equity Capital Markets Transactions
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Represented a syndicate of agents in the commencement of at-the-market offering program of up to 60,000,000 shares of common stock for the largest primary silver producer in the U.S. and the oldest NYSE-listed precious metals mining company in North America.
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Representation of a midstream MLP in its private placement of common units representing limited partner interests
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Representation of a vertically integrated energy business in its offering of 7,400,000 9.00% Class B Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Units
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Representation of the underwriters in a $120 million public offering of common stock by an E&P company
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Representation of the sales agents in a $500 million ATM program by a midstream MLP
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Representation of the investors in a $243 million PIPE by a midstream MLP
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Representation of the underwriters in a $150 million offering of common units by a midstream MLP
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Representation of a midstream MLP in a $150 million ATM program
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Representation of the underwriters in a $140 million offering of common units by a midstream MLP
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Representation of the underwriters in a $540 million offering of common units by a midstream MLP
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Representation of the underwriters in a $227 million offering of common units by a midstream MLP
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Representation of a diversified midstream MLP in a $240 million PIPE
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Representation of the underwriters in a $521 million offering of common units by a midstream MLP
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Representation of the underwriters in a $380 million offering of common stock by an E&P company
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Representation of a midstream MLP in a $159 million offering of its common units
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Representation of the underwriters in a $435 million IPO by a midstream MLP
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Representation as special MLP counsel to the underwriters in a $347 million secondary offering of common units in a nitrogen fertilizer MLP
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Representation of the managers in a $300 million ATM program by a midstream MLP
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Representation of midstream MLP in a $59 million PIPE
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Representation of the underwriters in a $315 million offering of common units by a midstream MLP
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Representation of the underwriters in a $224 million offering of common units by an upstream MLP
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Representation of the underwriters in a $291 million secondary offering of the common stock of an E&P company by its controlling stockholder
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Representation of a global supplier of artificial lift products and services in a $198 million offering of its common stock
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Representation of the placement agents in a $250 million registered direct offering of common units for a midstream MLP
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Representation of a crude oil gathering, transportation, storage, distribution and marketing MLP in its $140 million IPO
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Representation of the underwriters in a $450 million IPO by an independent exploration, development and production company
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Representation of the underwriters in a $300 million IPO by a pure-play nitrogen fertilizer MLP
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Representation of the underwriters in a $175.9 million offering of common units by a midstream MLP
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Representation of an E&P company in a $100 million offering of common stock
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Representation of the special committee of an E&P company in connection with its private placement of $500 million of convertible preferred stock to an affiliate
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Representation of the underwriters in a $345 million IPO by an upstream MLP
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Representation of the underwriters in a $1.135 billion IPO by a closed-end fund focused primarily on MLPs in the natural gas infrastructure sector
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Representation of an oil and natural gas production company in a $75 million equity offering
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Representation of an oil and natural gas production company in a $47 million equity offering
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Representation of an oil and natural gas production company in a $53 million equity offering
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Representation of the sales agents in an ATM program by a closed-end fund focused primarily on publicly-traded MLPs in the energy infrastructure sector
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Representation of a midstream MLP in a $143 million offering of common units
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Representation of the underwriters in an offering of common stock by a closed-end fund focused primarily on publicly-traded MLPs in the energy infrastructure sector
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Representation of the underwriters in a $340 million IPO by a midstream MLP
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Representation of the placement agents in a registered direct offering by a closed-end fund focused primarily on publicly-traded MLPs in the energy infrastructure sector
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Representation of the underwriters in a $176 million secondary offering of common units in a midstream MLP
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Representation of an LNG receiving and regasification terminal operator in its $326 million IPO
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Representation of a public GP in a $502 million secondary offering
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Representation of the underwriters in a $237.5 million IPO by an upstream/midstream MLP
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Representation of a midstream MLP in a $103 million offering of common units
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Debt Capital Markets Transactions
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Representation of a leading world-wide retailer in its offering of $1.5 billion aggregate principal amount of notes, consisting of $500 million aggregate principal amount of its 2.375% notes due 2029 and $1 billion aggregate principal amount of its 2.950% notes due 2049.
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Representation of a Dow 30 company in its offering of $16 billion aggregate principal amount of its notes
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Representation of a Dow 30 company in connection with its tender offers for up to $5.0 billion aggregate purchase price of its U.S. Dollar and British Pound denominated debt securities
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Representation of a leading, world-wide retailer in connection with its offering of $300 million aggregate principal amount of its Floating Rate notes due 2019, $1.2 billion aggregate principal amount of its 1.750% notes due 2019, $1.25 billion aggregate principal amount of its 1.900% notes due 2020, $1.25 billion aggregate principal amount of its 2.350% notes due 2022, $1 billion aggregate principal amount of its 2.650% notes due 2024, and $1 billion aggregate principal amount of its 3.625% notes due 2047
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Representation of a Dow 30 company in connection with its cash tender offer for up to $8.5 billion aggregate purchase price of its debt securities.
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Representation of a leading, worldwide retailer in connection with its offer and sale of Â¥70 billion aggregate principal amount of its 0.183% notes due 2022, Â¥40 billion aggregate principal amount of its 0.298% notes due 2024, and Â¥60 billion aggregate principal amount of its 0.520% notes due 2027 in an SEC-registered, underwritten offering
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Representation of a midstream MLP in a $350 million 144A high yield notes offering and subsequent exchange offer
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Representation of the underwriters in a $600 million registered notes offering by a midstream MLP
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Representation of a midstream MLP in a $400 million 144A high yield notes offering and subsequent exchange offer
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Representation of the initial purchasers in a $450 million 144A high yield notes offering by a public E&P company
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Representation of the underwriters in an $800 million registered notes offering by a midstream MLP
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Representation of the underwriters in a $500 million registered notes offering by a midstream MLP
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Representation of the initial purchasers in a $200 million 144A high yield notes offering by an E&P company
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Representation of an E&P company in a cash tender offer for its convertible senior notes
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Representation of the initial purchasers in a $115 million 144A notes offering by a wholly-owned subsidiary of a publicly-traded midstream MLP
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Representation of an E&P company in a $200 million 144A high yield notes offering
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Representation of a crude oil refining and refined petroleum products wholesale marketing company in a $150 million registered notes offering
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Representation of a diversified oil and natural gas services supplier in a $173 million registered high yield notes offering
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Representation of a multinational oilfield service and technology company in a $1.25 billion registered notes offering
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Representation of an E&P company in an $800 million registered notes offering
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Representation of the owner and operator of an LNG receiving and regasification terminal in a $183.5 million 144A notes offering and subsequent exchange offer
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Representation of a multinational oilfield service and technology company in a $1.5 billion registered notes offering
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Representation of a multinational oilfield service and technology company in a $1.5 billion 144A notes offering and subsequent exchange offer
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Representation of an E&P company in a $500 million registered notes offering
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Representation of an E&P company in a $1.5 billion registered notes offering
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Representation of the owner and operator of an LNG receiving and regasification terminal in a $2.032 billion 144A notes offering and subsequent exchange offer
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Representation of the underwriters in a $175 million registered notes offering by a midstream MLP
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Private Equity Transactions
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Representation of a diversified midstream MLP in the sale of $200 million of preferred equity and warrants
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Representation of the investor in the purchase of preferred equity in a wholesale distributor of motor fuels
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Representation of a diversified midstream MLP in a proposed sale of convertible debt securities
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Representation of an upstream MLP in the sale of $350 million of preferred equity
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Representation of the investors in the purchase of preferred equity in a midstream infrastructure services company
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Representation of the investors in the purchase of $253 million of preferred equity in an E&P company
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Representation of the investor in the proposed purchase of $175 million of preferred equity in a midstream MLP
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Representation of the investors in the purchase of $500 million of convertible preferred equity in a midstream MLP
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Representation of the owner and operator of an LNG receiving and regasification terminal in a $250 million private-equity backed senior secured term loan
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Mergers, Acquisitions and Joint Ventures
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Representation of a Dow 30 company in its formation of a strategic entertainment joint venture for the purpose of developing original, interactive content
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Representation of a privately held E&P company in a $525 million equity capital raise from private equity fund in connection with its acquisition of certain strategic upstream and midstream assets in the Anadarko Basin
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Representation of a midstream MLP in a dropdown of additional interests in midstream assets
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Representation of an E&P company in a $350 million joint venture with an energy infrastructure company
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Representation of a private-equity-backed power generation holding company in its acquisition of a cogeneration facility in Nevada
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Representation of an electrical infrastructure services provider in a public merger with an electrical and mechanical solutions provider
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Representation of a public E&P company in the acquisition of an entity that owns oil and natural gas properties located in Texas and Louisiana
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Representation of a private-equity-backed power generation holding company in its acquisition of three combined cycle natural gas fired generation and cogeneration projects located in Florida
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Representation of an electrical infrastructure services provider in its acquisition of assets from a provider of residential solar integration solutions
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Representation of a machining company in its acquisition by a producer and manufacturer of engineered, heavy metal sections
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Representation of a publicly-traded E&P company in a $125 million joint venture with a global investment firm
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Representation of the acquirer in a $3.9 billion public merger with an independent E&P company
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Representation of the acquirer in $280 million acquisition of an international bulk material handling and processing company
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Representation of a privately-held E&P company in a $400 million joint venture with a global investment firm
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Representation of a multinational oilfield service and technology company in its redomestication from Bermuda to Switzerland
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Representation of a Norwegian oilfield services provider in its acquisition of certain assets from a domestic offshore oil and natural gas equipment manufacturer
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Representation of a Norwegian oilfield services provider in its acquisition of a domestic plugging and abandonment company
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Representation of a private equity firm in the $432 million sale of a natural gas storage facility to a midstream MLP
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Accolades
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Honors & Recognitions

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Recommended for Capital Markets - Equity Offerings (2017-2025), Capital Markets - Debt Offerings (2019-2024) and Capital Markets - High-Yield Debt Offerings (2020-2021, 2024-2025), Legal 500 United States
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Named a Notable Practitioner for Capital Markets: Debt, Capital Markets: Equity and Corporate and M&A, IFLR1000, 2024
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Selected as a Lawyer on the Rise by the Texas Lawyer (2018)
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Recognized as a Acritas StarÂ for outstanding performance (2018)
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Recognized as a Texas Rising Star, Super Lawyers by Thomson Reuters (published in Texas Monthly) (2015)
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Named a Top Lawyer in Houston, Houstonia Magazine (2016)
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Insights
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Legal Updates
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The Big Beautiful Bill and MLP Qualifying Income
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SEC Amends Financial Disclosure Requirements for Acquisitions and Dispositions
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SEC Adopts Rules to Simplify and Streamline Disclosures in Certain Registered Debt Offerings
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SEC Proposes Amendments to Regulation S-K Financial Disclosures
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SEC Adopts Rules to Implement FAST Act Mandate to Modernize and Simplify Disclosure
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SEC Adopts Amendments to Regulation S-K and Regulation S-X to Simplify Disclosure Requirements
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SEC Proposes Rules to Simplify and Streamline Disclosures in Certain Registered Debt Offerings
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SEC Votes to Approve New Rules and Proposed Rules on a Variety of Topics Applicable to Public Companies
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SEC Enforcement Focused on Non-GAAP â€œProminenceâ€� Requirement
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Nasdaq Requires Disclosure of Third-Party Payments to Directors
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SEC Adopts Rule Permitting Use of Form 10-K Summary
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Events & Speaking Engagements
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PresenterSustainability and ESG Webinar Series: Corporate Governance and ESG
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PanelistHuntonAK Advantage Series â€“ ESG CLE Webinar
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ModeratorTrends and Developments in CCUS Under the Inflation Reduction Act of 2022, and Its Role in Achieving a Low Carbon Energy Future, Energy Infrastructure Councilâ€™s Energy Infrastructure CEO & Investor Conference
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SpeakerMidstream Energy REITs: A New Structure Webinar
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2nd Annual Executive Compensation Seminar, Preparing the Compensation Committee: The Fall Agenda
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11th Annual Disclosure Seminar
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Publications
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Co-authorMidstream Energy REITs: A New Structure
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Blog Posts
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Co-authorEuropean Union Advances Mandatory ESG Reporting Standards
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Videos
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\n\t\t\t\t\n\t\t\t\t<time>April 3, 2024</time>\n\t\t\t\tCorporate Governance and ESGmore...\n\t\t\t\t
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News
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Hunton Advises on Southern Natural Gas Company, LLCâ€™s $300M Senior Notes Offering
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Legal 500 US Ranks Hunton Among Top Law Firms in 2025 Guide
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Hunton Earns Top Rankings in 2024 Capital Markets League Tables
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Hunton Andrews Kurth Ranks Among Top Capital Markets Advisors in Third Quarter 2024 League Tables
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IFLR 1000 Recognizes Hunton Andrews Kurth Globally in the 2024/2025 Guide
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Hunton Andrews Kurth Earns Top Rankings in First Half 2024 Capital Markets League Tables
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Legal 500 US Ranks Hunton Andrews Kurth Among Top Law Firms in 2024 Guide
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Hunton Andrews Kurth Earns Top Rankings in First Quarter 2024 Capital Markets League Tables
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Hunton Andrews Kurth Ranks Among Top Capital Markets Advisors in 2023 League Tables
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Hunton Andrews Kurth Advises Shentel in the Acquisition of Horizon Telecom and Related Equity Investment with Energy Capital Partners
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Hunton Andrews Kurth Earns Top Rankings in First Half 2023 Capital Markets League Tables
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Legal 500 US Recognizes Hunton Andrews Kurth Among Top Law Firms in 2023 Guide
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Hunton Andrews Kurth Earns Top Rankings in 2022 Capital Markets League Tables
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Hunton Andrews Kurth Earns Top Rankings in Capital Markets League Tables
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Hunton Andrews Kurth Advises Underwriters on $1.5 Billion Debt Offering by Kinder Morgan, Inc.
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Hunton Andrews Kurth Ranks Among Top Capital Markets Law Firms in First Half of 2022
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Hunton Andrews Kurth Earns Top Rankings in 2021 Capital Markets League Tables
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Hunton Andrews Kurth Ranks Among Top Law Firms for Capital Markets Deals in First Half of 2021
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Featured, 5 Questions With Hunton AKâ€™s Courtney Cochran Butler: An ESG Overview and Its Relationship to Issuers, The Texas Lawbook
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2021 Legal 500 US Guide Recognizes Hunton Andrews Kurth Among Top US Law Firms
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Hunton Andrews Kurth Represents Agents in ATM Program for Hecla Mining Company
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Hunton Andrews Kurth Earns Top Rankings in 2020 Capital Markets League Tables
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Hunton Andrews Kurth Ranks Among Top Law Firms for Capital Markets Deals in First Half of 2020
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2020 Legal 500 USA Guide Recognizes Hunton Andrews Kurth Among Top US Law Firms
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Hunton Andrews Kurth Places Among Top Law Firms in 2019 Capital Markets League Tables
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Quoted, Jaded Pipeline Sector Abuzz as New Tax-Exempt Structure Floated, Bloomberg Tax
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Hunton Andrews Kurth Maintains Momentum in Bloombergâ€™s Q3 Corporate League Table Rankings
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Hunton Andrews Kurth Ranks Among Top Capital Markets Law Firms for the First Half of 2019
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Hunton Andrews Kurth Recognized Among Top US Law Firms in 2019 Legal 500 USA Guide
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Hunton Andrews Kurth Represents Stonepeak Infrastructure Partners in $3.6 Billion Acquisition of Oryx Southern Delaware Holdings LLC and Oryx Delaware Holdings LLC
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Texas Lawyer Recognizes Courtney Cochran Butler Among 2018 Lawyers On the Rise
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Hunton Andrews Kurth Recognized Among Top US Law Firms in Legal 500 USA 2018 Guide
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The 2017 Legal 500 Guide Ranks Andrews Kurth Kenyon in 22 Practice Areas
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15 Andrews Kurth Lawyers Named 2016 Top Lawyers in Houston
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Andrews Kurth Lawyers Recognized as 2015 Texas Rising Stars
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Andrews Kurth Elects 10 New Partners for 2014
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<button>Education</button>

JD, Tulane University Law School, cum laude, National Moot Court Team member, Certificate for Advanced Studies in Maritime Law, Tulane Maritime Law Journal, Senior Notes and Comments Editor, 2005
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BBA, Marketing, The University of Texas, 2001
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<button>Admissions</button>
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Louisiana
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Texas
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Areas of Focus
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Capital Markets and Securities
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Sustainability
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Corporate
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Energy M&A
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Additional Service Areas
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Energy
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Energy Transition
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Initial Public Offerings
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Master Limited Partnerships
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Oil, Gas and LNG
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Pipeline
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Power and Utilities Capital Markets
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Private Equity
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Private Investment Funds
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Renewable Energy and Clean Power
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Lone Star Governance
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MLP Lending and Finance
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\n","instructions":["'first_name' => 'Extract only the attorney\\'s first name.',\r\n'middle_name' => 'Extract only the attorney\\'s middle name or middle initial, as it is presented. If not found, return an empty string.',\r\n'surname' => 'Extract the attorney\u2019s last name or family name',\r\n'email' => 'Extract a valid email address for the profiled attorney. If not found, return an empty string.',\r\n'title' => 'Extract the profiled attorney\\'s job title. Ensure it is properly capitalized.The attorney can have multiple titles, in which case list them all as an array. If no title is found, return an empty array.',\r\n'location' => 'Extract the office name or city name in which this attorney works, as it is listed. The attorney may work out of two offices, in which case both should be listed. List them as an array.',\r\n'direct_phone_no_1' => 'Extract the direct office phone number listed for this attorney. If multiple phone numbers are listed, select the one that is their direct line, not the main or central office number, nor a fax number. If the attorney works out of two offices and has a direct line for each office, list the first here. If a direct line is unavailable, but a main or central office number is listed with an extension, list that number followed by EXT and the extension number',\r\n'direct_phone_no_2' => 'Extract the second direct office phone number listed for this attorney, if it exists. If multiple direct phone numbers are listed because the attorney works out of two office, select the second number \u2013 not the one listed in the prior item. Select only a number that is the attorney\u2019s direct line, not the main or central office number, nor a fax number.',\r\n'image_url' => 'Extract the URL for the attorney\u2019s image file',\r\n'linkedIn' => 'Extract the URL for the attorney\u2019s LinkedIn profile, if it is listed. If not found, return an empty string.',\r\n'narrative_description' => 'Extract and combine all sections that provide a narrative overview of the attorney\u2019s biography and general work experience. Do not paraphrase, summarize, or omit information. Include the Biography/Bio section(s) and also include any Experience section that contains narrative descriptions of work (including sections structured as practice-area headings followed by descriptive paragraphs, e.g., \"Aging Services\" + paragraph text, \"Dental\" + paragraph text, etc.). Preserve headings and the order of content as it appears; you may convert embedded highlights into bullet points only if it helps preserve (not reduce) the information. EXCLUDE: any section (or subsection) that exclusively lists specific representative matters / representative experience items (typically a list of discrete matters, case captions like \"X v. Y\", deal/transaction bullet points, dated entries, courts/dockets, or similar itemized matter lists). If an Experience (or other) section contains BOTH narrative description AND a separate list of specific matters, include the narrative paragraphs/headings but omit the itemized matter list. Return the combined narrative text only. If no narrative bio or general-experience narrative exists, return an empty string.',\r\n'representative_matters' => 'Extract ALL representative matters (such as litigation cases, verdicts, transactions, or deals) that are listed as well any available descriptions of them, in both specified lists of representative matters, experience, and work highlights, as well as in the biographical text and list of news articles. If news articles for this attorney identify cases or transactions that can be inferred to be the work product of this attorney, include those matters as well. List the representative matters and their available descriptions as an array. Only pull from the text and do not paraphrase or make anything up. If no representative matters are found, return an empty string.',\r\n'news' => 'Extract news items ABOUT this attorney (not authored by them): e.g., firm/industry press releases, announcements, awards, rankings, deal/case results naming them, media coverage quoting or profiling them. List each item as \"Title (URL)\". If a \u201cNews\u201d section mixes authored content, include ONLY items that are clearly about the attorney or the firm, not implied to be authored by the attorney. Add base domain to relative links. Return an empty array [] if none.',\r\n'practice_areas' => 'Extract all the practice areas (aka departments, specialties, capabilities, services areas, areas of focus, etc.), if any, that are listed as ones that this attorney specializes in. Return them as an array. If not found, return an empty string.',\r\n'law_school' => 'Extract the law school attorney attended. This is for their primary law degree, usually a JD, LLB, or, in the absence of those, the earliest LLM listed or the institution where they received an undergraduate law degree. If not found, return an empty string.',\r\n'law_school_graduation_year' => 'Extract the year in which the attorney received their degree from the law school above (what year did they graduate?) If not found, return an empty string.',\r\n'law_school_honors' => 'Extract all honors this attorney received in or during law school. You must review all education and credentials sections that list their law degree AND ALSO the narrative bio, as well as all other sectiosn. These honors include: latin honors (cum laude, summa cum laude, magna cum laude); school specific honors (e.g. James Kent Scholars at Columbia Law); regular honors designations (e.g. Dean\u2019s List, High Honors, etc.); Order of the Coif; course prizes (such as book awards, CALI Awards, American Jurisprudence Awards, or course awards); membership in phi kappa phi; scholarships and fellowships; moot court awards; trial advocacy awards; best oralis; brief-writing honors or other writing honors; pro bono or service distinctions; commencement prizes and medals; or other types of academic law school honors (but list them specifically - do not list them as \"other honors\". Return this entire extracted list of specific honors as an array. If no honors are found, return an empty array.',   \r\n'law_journals' =>' Extract any law reviews or law journals listed for the attorney's time in law school. Also list if the attorney had any titles in such law reviews or journals, like Articles Editor for example. Return this entire extracted list of law reviews and journals, and associated titles, as an array. If no law reviews or journals are found, return an empty array.'\r\n'undergraduate_school' => 'Extract the attorney\\'s undergraduate degree-granting school, college, university, or institution. This is probably the institution from where they received a bachelors degree. If their undergraduate degree was an LLB listed for their law school above, return an empty string. If no undergraduate schools are found, return an empty string.',\r\n'undergraduate_school_graduation_year' => 'Extract the year in which attorney received their undergraduate degree from the undergraduate school above. If not found, return an empty string.',\r\n'undergraduate_specialty' => 'Extract the specialties or majors that are listed for the undergraduate degree (e.g. economics, computer science, etc.) This does not include degree type, like B.S., Bachelor of Arts or Science degree, etc. List the specialties or majors as an array. If not found, return an empty string.',\r\n'PhD_school' => 'If this attorney has a PhD, Extract the educational institution from which they received it. If not found, return an empty string.',\r\n'PhD_subject' => 'If this attorney has a PhD, list the educational institution from which they received it. If not found, return an empty string.',\r\n'Masters_degree_school' => 'If this attorney has a masters degree, extract the educational institution from which they received it. But do not list schools from which the attorney received an LL.M. degree or a masters in law. If no masters degree schools are found, return an empty string. ',\r\n'Masters_degree_subject' => 'If the attorney has a masters degree, extract the subject or area of study of the masters. The subject area may be in the degree itself, such as an M.Div, which is a masters in Divinity. But do not include subjects for LL.M. degrees or masters in law degrees. DO NOT include honors or latin honors (e.g. cum laude, summa cum laude) in your answer. List subjects as array. If no masters degree subjects are found, return an empty string.',\r\n'MBA_School' => 'If the attorney has a Masters in Business Administration, extract the name of the business school from which they received it. If not found, return an empty string.',\r\n'MD_school' => 'If the attorney has an MD (Doctor of Medicine) or DO (Doctor of Osteopathy) degree, extract the name of the medical school from which they received it. If not found, return an empty string.',\r\n'llm_in_tax_law_school' =>  'If the attorney has an masters in laws (LLM) degree, specializing in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'Other_LLM_school' => 'If the attorney has an masters in laws (LLM) degree, but not one that specializes in tax, extract the name of the law school from which they received it. If not found, return an empty string.',\r\n'bar_and_court_admissions' => 'Extract EVERY explicit admission to practice (bar + court/agency) anywhere in the page. Include bar jurisdictions (states/provinces/territories/countries) and court/agency admissions (e.g., U.S. Supreme Court, Courts of Appeals with circuit, District/Bankruptcy/Tax/Federal Claims courts with district, USPTO, tribal/military/foreign courts). For UK attorneys, specify whether they are a solicitor, barrister, advocate, or any combination if available; for Canada, specify the province or territory; for Australia, specify the state or territory and whether they are admitted as a solicitor or barrister. Pull items under headings like \u201cAdmissions,\u201d \u201cBar Admissions,\u201d \u201cCourt Admissions,\u201d or similar, and treat each
 or clearly separated entry as one item. Do not infer from memberships/education. Exclude governments as parties, and strip years and dates. Output a deduplicated array of exact admission strings; if none, return []. ',\r\n'Clerkships' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, DO NOT include it in your answer. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Clerkships_with_judge' => 'Extract every judicial or court clerkship held by this attorney, regardless of where it appears in the biography (including in lists of prior employment or mixed professional experience). Treat any role containing the word \u201cclerk,\u201d \u201cclerkship,\u201d \u201cjudicial law clerk,\u201d \u201claw clerk,\u201d or similar as a clerkship. For each clerkship, return the name of the court as an array item; if the biography provides the judge\u2019s name, include it in parentheses after the court name, and if no judge is named, return only the court. Include clerkships in federal courts (including bankruptcy courts), state courts, appellate courts, supreme courts, magistrate judges, and any foreign courts. Do not skip clerkships that lack judge names or that appear in long court titles. If no clerkships are found, return an empty string.',\r\n'Memberships' => 'Extract any organizations the attorney a member of. List them as an array, with the attorney's role if available. If no memberships or organizations are listed, return an empty string.',\r\n'clients' => 'Extract the attorney's clients that are explicitly NAMED in the source code. You MUST review EVERY section (including explicit client lists, narrative biography, representative matters, experience, and news articles/titles) and then MERGE the results; do not stop after finding clients in any one section. If a list of representative matters or experience is present, extract NAMED clients from this list, and ignore any clients who are described in the list but who are not explicitly named in the list. Only include a client from the list of representative matters/experience or any other section if its name appears verbatim in the list and if the list clearly identifies the client as a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). As an overarching rule, if the client is not identified by a proper name, do not include it. When pulling clients from lists of representative matters/experience and news articles, include clients which are named and which are implied to be represented by this attorney, their team or firm, and exclude parties adverse to such clients, opposing such clients, or on the other side of a case, deal or transaction from such clients. For example, if the representative matter/experience or news article's title mentions a lending transaction with both the lender and borrower, and the attorney or their team or firm represented the lender, do not list the borrower. If a litigation case is listed, do not assume that the lawyer represented the plaintiff. Use context or other language in the text to determine which party was represented by the attorney. If a matter lists the government as one party, assume the attorney represented the other named party and include that party if it is specifically named and not anonymous. As another example, if the representative matter/experience is a litigation case, and it is written that the attorney represented the defense (or \"defended\" his client), extract the defendant named in the case title. List all named clients as a deduplicated array of NAMES copied directly from the source text. Omit unnamed parties and anonymous parties and never guess identities. If no named clients are explicitly named anywhere in the source code, return an empty string.',\r\n'industries' => 'Extract ONLY industries/industry sectors or client-type categories explicitly named in the source code (especially, but not exclusively, under headings like \u201cIndustries,\u201d \u201cPractices & Industries,\u201d or in /industries/ links). Include items like \u201cSports,\u201d \u201cHealthcare & Life Sciences,\u201d \u201cTechnology,\u201d \u201cInfrastructure,\u201d \u201cPrivate Equity,\u201d etc. EXCLUDE practice areas, services, or deal/matter types (e.g., \u201cMergers & Acquisitions,\u201d \u201cPrivate Equity M&A,\u201d \u201cacquisitions,\u201d \u201cinvestments,\u201d \u201cdivestitures,\u201d \u201cjoint ventures,\u201d \u201cfinancing,\u201d \u201crestructurings\u201d). Return a deduplicated array of industry/client-type names as written. If none are explicitly named, return empty array.',\r\n'languages' => 'Extract the languages in which the attorney is fluent. List them as an array.',\r\n'Accolades' => 'Extract any accolades, awards, or other special recognitions this attorney has received, such as rankings in Chambers guides (like Chambers & Partners, Chambers Gobal, or Chambers Asia-Pacific), the Legal500 list, and SuperLawyers, among others. The accolades should be specific to this attorney or their work, not generalized to their practice or their firm. List these accolades as an array. If no accolades are listed, return an empty string.',\r\n'pro_bono_activities' => 'Extract the attorney's pro bono, community service, and volunteer activities, as well as any non-profit, ngo, community service organizations the attorney may be involved with. If a description of the work is provided, include that. List them as an array',\r\n'thought_leadership' => 'Extract ALL professional thought leadership attributed to this attorney in their narrative bio and in all \"Insights,\" \"Publications,\" \"Events,\" and similar sections. This includes all items with their authorship/co-authorship/speaking/hosting credit/(byline \u201cauthor,\u201d \"co-author,\" \u201cpresenter,\u201d \u201cspeaker,\u201d \u201cpanelist,\u201d \u201cwebinar,\u201d \u201cpodcast,\u201d \u201cblog,\u201d \u201carticle,\u201d \u201cpublication,\u201d \u201cchapter,\u201d \u201cCLE,\u201d etc.). This also includes any items that do not include their byline or credit, but which are implied to involve the attorney (for example, by being listed in a section on their profile for \"Insights,\" \"Podcasts,\" \"Events,\" \"Media,\" \"Thought Leadership,\" \"Webinars, etc.). If a \u201cNews\u201d or \u201cInsights\u201d section mixes third party news ABOUT this attorney, include only items implied to the attorney as creator/presenter. List each as \"Title (URL)\" when a link is present, otherwise just the title. Add base domain to relative links. Also include the publication, event/program, and date after the title if these are available. Return [] if none.'\r\n'adverse_parties' => 'Review all the source code, including the narrative bio and list of representative matters, and list EVERY identifiable and NAMED party that is adverse to this attorney\u2019s clients: litigation opponents and transaction counterparties (buyer vs seller, lender vs borrower, landlord vs tenant, licensor vs licensee, insurer vs insured, issuer vs underwriter/investor, etc.). You MUST pull from all sections in the source code - explicit lists of clients, the narrative biography, listed representative matters, or in news articles listed for this attorney, or the titles thereof. In M&A, if the attorney represented the buyer/acquirer, DO NOT list the acquired target as adverse (since it becomes the client); instead list only the selling side (seller, stockholders, founders, or divesting company). If the attorney represented the seller/target, list the buyer/acquirer. Use cues like \u201cto/with/from/against,\u201d \u201csale to/by,\u201d \u201cacquisition from/by,\u201d \u201cmerger with,\u201d \u201cfinanced by/loan to/from/credit facility with.\u201d In the attorney represented the owner or owning entity of a subsidiary/portfolio company (for example in the case of a restructuring or lending transaction), DO NOT list the subsidiary/portfolio company as adverse; Do not list governments/agencies/courts. Only include an adverse party if its name appears verbatim in the source code and clearly identifies a real person, business, company, organization, or government entity. Do NOT include general descriptions, categories, roles, or descriptors that are not proper names (for example: \"Fortune 50 company\", \"medical billing company\", \"global bank\", \"mayoral candidate\", \"pharmacy\", \"trade association\", \"energy company\", or similar phrases). If the text does not contain the adverse party's name, do not include it. Output a deduplicated array of exact names; omit unnamed parties and never guess.'\r\n 'affinity_groups' => 'Extract ALL affinity/identity-based organizations the attorney is affiliated with on the page, even if under generic headings like \u201cAssociations,\u201d \u201cMemberships,\u201d \u201cAffiliations,\u201d \u201cCommunities,\u201d or \u201cOrganizations.\u201d Check all sections of the source code. Include all bar or professional association whose name signals an identity/affinity or civil-rights focus (e.g., words like Black/African-American/AAPI/Asian/South Asian/Pacific Islander/Hispanic/Latino/Native/Indigenous/LGBT/LGBTQ/Queer/Women/Gender/Disability/Veteran/Jewish/Muslim/Christian/Hindu/Sikh/Interfaith/Civil Rights/Minority/Diversity/Inclusion). Exclude purely general trade/professional groups without such identity focus. Return a deduplicated array of exact organization names; if none, return empty array.'"]}