[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":" Craig D. Cannon     \n            Partner\n
\n1001 West Fourth Street, Winston-Salem, NC USA 27101\n
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\n                \n                        t 336.607.7441\n                \n                        |\n                \n                        f 336.793.9188\n                \n
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\n                \n                    ccannon@ktslaw.com\n                \n
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Overview
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Experience
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Insights
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\n    Overview \n
Craig is a seasoned complex commercial litigator who focuses his practice on e-discovery, information governance, data privacy, cross-border data transfer and cybersecurity. As Discovery Counsel to several of the worldâ€™s largest corporations, Craig combines his extensive litigation and e-discovery experience to help clients develop efficient and defensible legal strategies for discovery. Craig has authored dozens of articles and presented at numerous conferences regarding topics ranging from defensibly controlling e-discovery costs to the complexities of managing discovery in the EU. Craig is also the founder and team leader of the award-winning LitSmartÂ® E-Discovery Team. Prior to joining Kilpatrick, Craig served as Global Discovery Counsel for Bank of America, where he was responsible for leading several of the worldâ€™s largest and most complex e-discovery, data privacy, cross-border data transfer, information governance and cybersecurity projects. He also managed a team of litigation attorneys and paralegals that was responsible for handling material litigation matters. Professionally, Craig has been recognized as a North Carolina â€œSuper Lawyerâ€� in the area of e-discovery by Super Lawyers magazine (2014-2025), as one of North Carolinaâ€™s â€œLegal Eliteâ€� by Business North Carolina magazine, as a North Carolina â€œImpact Law Leaderâ€� by Business Leader magazine, as one of the Piedmont Triadâ€™s â€œ40 Leaders Under 40â€� by the Triad Business Journal, and as one of North Carolina Lawyers Weekly \"2022 Leaders in the Law.\"
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Craig is actively involved in pro bono, bar and community activities and currently serves as a member of Kilpatrickâ€™s national Pro Bono Committee. He has also previously served in leadership roles within the American Bar Association (Director of the Disaster Legal Services Program and Member of the Presidentially appointed Hurricane Katrina Task Force), the North Carolina Bar Association (Chair of the Young Lawyers Division and Member of the Board of Governors) and the North Carolina State Bar (Member of the Legal Assistance for Military Personnel and Authorized Practice Committees). In recognition of his dedication to pro bono and community service, Craig has been named as a recipient of the American Bar Associationâ€™s national Pro Bono Publico and Star of the Year Awards, the North Carolina Bar Associationâ€™s Charles F. Blanchard Award and the Federal Emergency Management Agencyâ€™s national Distinguished Service Award.
\n                        More \n    Experience \n
Experience
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Served as lead discovery counsel for a national credit reporting agency in a putative Fair Credit Reporting Act class action lawsuit. As lead discovery counsel, led all data mapping and e-discovery efforts related to the identification, preservation, collection, processing and production of ESI from internal and cloud based data sources. In addition, implemented screening strategies designed to ensure that sensitive financial data sets were appropriately reviewed and produced in compliance with all applicable state and federal privacy standards.
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Served as lead discovery counsel for a global leader in the design and manufacture of aerospace equipment and systems in responding to an extremely time-sensitive preliminary injunction. Under a deadline to produce documents in 12 days, assisted the client with the on-site identification and collection of electronic data from more than 25 custodians (both structured and unstructured data sets, including archived email) in three states over a period of four days. Processed more than 1.2 TBs of data, representing close to 2 million documents, and prepared for review. Managed the review of approximately 35,000 documents and successfully produced 100 GBs of data representing 27,000 documents by the court-imposed deadline.
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Served or currently serving as lead discovery counsel for various Fortune 500 financial institutions, technology companies, specialty materials companies, and multinational conglomerates in complex DOJ and SEC investigation matters related to price fixing, collusion, theft of trade secrets, Foreign Corrupt Practices Act violations, internal accounting insufficiencies, and insider trading. As lead discovery counsel, provided comprehensive advice and guidance about applicable discovery standards and investigation response strategies. In addition, assisted in identifying, analyzing, reviewing, and producing voluminous data sets to the SEC and DOJ in compliance with applicable standards. Further, actively assisted with depositions, motion practice and oral argument.
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Served as lead discovery counsel for a global chemical manufacturer in U.S. and international insurance coverage disputes related to a chemical plant interruption. As lead discovery counsel, assisted the manufacturer in identifying, preserving, collecting, processing, and producing voluminous electronically stored data sets (including both unstructured and structured data sets) from jurisdictions throughout the world, including the U.S., EU, and China. Provided advice and guidance to the manufacturer about applicable cross-border data transfer and data privacy standards. In addition, conducted all factual discovery in the U.S., EU and China.
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Currently serving as lead discovery counsel for a global manufacturer involving the design and development of a bio-fuel construction project. As lead discovery counsel, assisted the client in identifying, preserving, collecting, processing, reviewing and producing voluminous electronically stored data sets (including both unstructured and structured data sets). In addition, conducted factual investigations and assisted the client in complying with all applicable discovery standards.
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Currently serves as outside national discovery counsel for various firm clients (including numerous financial service clients). As national discovery counsel, provides strategic advice and guidance on all aspects of e-discovery, including litigation readiness/preparedness, data privacy, cross-border data transfer, technology assisted review, document review processes and procedures, data collection, data processing, data hosting, data production, vendor selection and evaluation, 26f agreements, 30b6 data and discovery related depositions, SARs, privilege screening, information governance strategies, defensible data deletion and data related books and records sections within M&A and divestiture agreements.
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Currently serving as lead discovery counsel for a global financial services company in responding to a data breach. As lead discovery counsel, provided comprehensive advice and guidance to the client regarding strategy for compliance with applicable regulations. Over a period of weeks, organized and trained a team of 60 contract attorneys stationed on-site at the firmâ€™s Review Center in Winston-Salem. Completed the review of approximately 1 TB of data representing more than 500,000 documents, including extensive redactions, in 45 days.
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Served as lead discovery counsel for energy pipeline system in a FERC investigation regarding highly complex tariff issues. As lead discovery counsel, provided comprehensive advice and guidance to the client regarding strategy for compliance with applicable regulations and discovery orders. Successfully processed 550 GBs of data representing more than 2.6 million records. With the use of advanced analytics tools, narrowed data set needing review to 42,000 documents, saving the client over $200,000 in review costs. Completed review of approximately 42,000 records and prepared for production in 25 days.
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Currently serving as lead discovery counsel for a state environmental agency and its assigned Department of Justice team in multiple complex enforcement actions involving the largest domestic electric utility. As lead discovery counsel, assisted the agency in identifying, preserving, collecting, processing and producing voluminous electronically stored data sets (including both unstructured and structured data sets). In addition, conducted factual investigations and assisted the agency in complying with all applicable case management and discovery orders.
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In case for one of the worldâ€™s largest staffing agencies involving dozens of subsidiaries, advised client regarding potential difficulties associated with restoring backup tapes and developed strategy to minimize efforts and costs. Rather than restore several thousand daily backups in a fishing expedition, worked with clientâ€™s internal IT team to restore only the backup tapes that were most likely to contain relevant evidence based on initial review of a test case scenario, saving the clients several hundred thousand dollars in restoration costs alone. Further, organized, trained and supervised 25+ contract attorneys to complete review of more than 500,000 documents at the Firmâ€™s onsite Review Center by the court-imposed deadline.
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Currently serving as lead discovery counsel for a global action camera manufacturer in a complex design patent infringement matter related to a leading action camera. As lead discovery counsel, assisted the manufacturer in identifying, preserving, collecting, processing and producing voluminous electronically stored data sets (including both unstructured and structured data sets) from jurisdictions throughout the world, including the EU. In addition, provided advice and guidance to the manufacturer about applicable cross-border data transfer and data privacy standards. Further, managed and staffed multiple document review projects.
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Served as lead discovery counsel for a national franchisor in a complex wage and hour class action matter. As lead discovery counsel, successfully assisted the franchisor in identifying and implementing an innovative technological solution that allowed for the efficient recovery of unstructured data from disaster recovery backup tapes, thereby saving the franchisor significant expense and allowing them to respond to pending discovery requests in a timely manner. Also led all efforts to identify, preserve, collect, process and produce voluminous unstructured and structured electronically stored data sets. In addition, actively assisted the franchisor with discovery related motions (e.g., motions for cost shifting), oral arguments and depositions.
\n                        More \nInsights \n
Insights View All
\n                                    \n
News Releases
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\n                                                    Over 100 Kilpatrick Attorneys Named 2025 Super Lawyers and Rising Stars\n
\n                                                <time>November 25, 2025</time>\n                                    \n
News Releases
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126 Kilpatrick Attorneys Named 2024 Super Lawyers and Rising Stars
\n                                    <time>November 11, 2024</time>\n
News Releases
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Kilpatrick Attorneys Named in 2024 North Carolina Super Lawyers
\n                                    <time>January 30, 2024</time>\n
Publication
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Law Firms' E-Discovery Centers See Growing Business From Other Firms, Clients
\n                                    <time>August 8, 2023</time>\n
Publication
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Southeast E-Discovery Leaders Say Generative AI Needs More Development for Their Use
\n                                    <time>August 3, 2023</time>\n
Services
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\n                        Complex Commercial Litigation\n
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\n                        Cybersecurity, Privacy & Data Governance\n
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\n                        E-Discovery\n
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\n                        Litigation\n
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\n                        Patent Litigation\n
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\n                        ITC Section 337\n
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Industries
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\n                        Financial Services\n
\n    Education \n
Education
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\n                        Stonier National Graduate School of Banking, University of Pennsylvania  Graduate\n                            (2011)\n
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\n                        University of North Carolina at Chapel Hill, Kenan-Flagler Business School  M.B.A.\n                            (2011)\n                        Beta Gamma Sigma; Order of the Old Well; Frank Porter Graham Honor Society\n
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\n                        University of Iowa College of Law  J.D.\n                            (2000)\n                        Recipient, Recent Alumni Award; Selected to conduct oral argument before a three judge panel of the U.S. Court of Appeals for the Eighth Circuit; Dean Mason Ladd American Inn of Court; Assisted the Maya people of Belize in human rights matters pend\n
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\n                        University of Iowa  B.A.\n                            (1997)\n                        Recipient, Distinguished Alumni Award\n
\n    Admissions \n
Admissions
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\n                        North Carolina\n
\n    Court Admissions \n
Court Admissions
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\n                    Supreme Court of the United States\n
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\n                    U.S. Court of Appeals for the Fourth Circuit\n
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\n                    U.S. District Court for the Eastern District of North Carolina\n
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\n                    U.S. District Court for the Middle District of North Carolina\n
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\n                    U.S. District Court for the Western District of North Carolina\n
\n    Professional & Community Activities \n
Professional & Community Activities
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American Bar Association, Disaster Legal Services Program, Former National Director; Special Committee on Disaster Response and Preparedness, Former Member; Hurricane Katrina Task Force, Former Member; Young Lawyers Division, Former District 9 Representative
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Childrenâ€™s Museum of Winston-Salem, Board of Directors, Former Member

Georgetown Advanced e-Discovery Institute, Member

Leadership Winston-Salem, Graduate

North Carolina Bar Association, Board of Governors, Former Member; Young Lawyers Division, Former Chair; Strategic Planning Committee, Former Member; Young Lawyer Initiatives Task Force, Former Member; 4All Committee, Former Member; CLE Committee, Former Member

North Carolina Board of Law Examiners, Character and Fitness Committee, Chair of 21st District Bar Candidate Interview Panel; Bar Examination Drafting Committee, Member of Drafting Panel

North Carolina State Bar, Authorized Practice Committee, Former Advisory Member; Legal Assistance for Military Personnel Committee, Former Member

Old Salem, Inc., Board of Trustees, Former Member

Sedona Conference, Member (Working Groups 1 and 6)

Triad Academy, Board of Trustees, Former Member

University of North Carolina School of the Arts Foundation, Board of Directors, Member

Wake Forest University School of Business, Mentor for MBA and MA Students
\n                        More \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":"
Terri R. Stallard
\n
Partner Of Counsel
\n
\n
\nLexington, KY\n
\n
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My service areas
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These are the practice areas that shape the core of my work.
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Corporate Transactions & Business Services
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Private Client & Family Office Services
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Download my bio
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terri.stallard@dinsmore.com
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Tel: (859) 514-6159
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Fax: (859) 425-1099
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vCard
\n
Terri understands estate planning is one of the most responsible ways of caring for your family, as it details how your possessions, equity, and assets will be handled upon your death. For families with young children, such planning also ensures protections are in place should the unforeseen arise. Terriâ€™s experience includes estate planning, asset protection, and business succession planning, and she spends time learning about and understanding clientsâ€™ concerns, goals, and objectives. These include handling taxes, business transfers, and dividing assets among children. Terri understands these conversations are as sensitive as they are critical, which is why she keeps in close contact with clients, ensuring all of their questions and concerns are addressed with a comprehensive plan.
\n
Credentials
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Education
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Brandeis School of Law at the University of Louisville (J.D., 1990)
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Transylvania University (B.A., 1986)
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Bar admissions
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Kentucky
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Georgia
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Tennessee
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Court admissions
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U.S. Tax Court
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Affiliations and memberships
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American Bar Association, Taxation Section, member
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Bluegrass Estate Planning Council, member
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Kentucky Bar Association, member
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Fayette County Bar Association, Taxation Section, member
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Georgia Bar Association, member
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Tennessee Bar Association, member
\n
\n

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Distinctions
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JD Supra Readersâ€™ Choice Awards\n
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Estate Planning (2016)
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Best LawyersÂ®\n
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Corporate LawÂ (2013-2019, 2022-2024)
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Trusts and EstatesÂ (2020, 2022-2024)
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Litigation â€“ Trust and Estates (2024)
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AVÂ® Preeminent Peer Review Rated by Martindale-HubbellÂ®
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\n

\n\n\n\t\t\t\t\t\tNews
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\nDecember 18, 2025\n
Kentucky Super Lawyers Recognizes 34 Dinsmore Attorneys on 2026 List
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\n\t\t\t\t\t\t\t\tRead more\n
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\nAugust 21, 2025\n
260 Dinsmore Attorneys Listed as 2026 Best LawyersÂ®, Ones to Watch
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\n\t\t\t\t\t\t\t\tRead more\n
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\nAugust 15, 2024\n
250+ Dinsmore Attorneys Named 2025 Best Lawyers Â®, Ones to Watch
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\n\t\t\t\t\t\t\t\tRead more\n
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\nAugust 17, 2023\n
200+ Dinsmore Attorneys Named 2024 Best LawyersÂ®, â€œOnes to Watchâ€�
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\n\t\t\t\t\t\t\t\tRead more\n
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\nAugust 18, 2022\n
2023 Best LawyersÂ® List Recognizes 190 Dinsmore & Shohl Attorneys
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\n\t\t\t\t\t\t\t\tRead more\n
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\nAugust 19, 2021\n
Best LawyersÂ® Recognizes 191 Dinsmore & Shohl Attorneys
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\n\t\t\t\t\t\t\t\tRead more\n
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\nOctober 21, 2020\n
Partner Terri Stallard Joins Dinsmore in Lexington as COVID-19 Creates Spike in Personal Estate Planning
\n

\n\t\t\t\t\t\t\t\tRead more\n
\n
\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":"\n        \n
\nChristian Tamotsu Fjeld\n
\n
    \n  Senior Vice President\n
\n
CTFjeld@mlstrategies.com
\n
\n  +1.202.434.7433\n
\n  \n
Christian is based in our Washington, DC office and is a Senior Vice President of ML Strategies. He assists a variety of clients in their interactions with the federal government.

Prior to joining ML Strategies, Christian spent 20 years on Capitol Hill, the last 10 of which he served as Senior Counsel and Subcommittee Staff Director on the Senate Committee on Commerce, Science, and Transportation.Â  In so doing, he served under the current Chair, Senator Maria Cantwell (D â€“ WA), as well as former Chairman John D. Rockefeller IV (D-WV) and former Ranking Member Bill Nelson (D-FL).Â  In this capacity, his work focused on a broad range of issues, including consumer protection, privacy and data security, cybersecurity, automobile and highway safety, product safety, sports, manufacturing, exports, and trade, while regularly interacting with the Federal Trade Commission (FTC), the National Highway Safety Administration (NHTSA), the Consumer Product Safety Commission (CPSC), and the Department of Commerce.Â

Earlier, Christian held senior staff and advisory roles with the House of Representativesâ€™ Committee on Energy & Commerce, where he worked on matters related to the FTC, NHTSA, CPSC, Department of Commerce, and the EPA.

Christian also previously served as a Senior Legislative Assistant to former Representative Bobby L. Rush (D-IL) and to former US Representative Bill Luther (D-MN), advising each on Energy & Commerce Committee issues. Â
\n
viewpoints
\n
\n  White House AI Policy Update: Utah AI Bill Opposition, Tech Corps Launch, and State of the Union Data Center Announcements â€” AI: The Washington Report\n
\n                    Read more\n
\n  AI Acquihires Under Fire: FTC Signals HSR Scrutiny â€” AI: The Washington Report \n
\n                    Read more\n
\n  Emerging Federal AI Strategy: FTC Sets Aside Rytr Consent Order; and Uncertainty Looms with BEAD Funding and State AI Laws â€” AI: The Washington Report\n
\n                    Read more\n
\n  NY Enacts RAISE Act Amid Federal AI Security Push  â€” AI: The Washington Report\n
\n                    Read more\n
\n  NIST Expands Federal AI Capacity; Florida Proposes AI Bill of Rights â€” AI: The Washington Report\n
\n                    Read more\n
\n  Instacart Agrees to Settlement in FTC Lawsuit Over Deceptive Marketing Tactics and AI-Driven Pricing  â€” AI: The Washington Report\n
\n                    Read more\n
\n  Federal Takeover of AI Governance? Breaking Down the White Houseâ€™s New Executive Order â€” AI: The Washington Report\n
\n                    Read more\n
\n  The Genesis Mission and State Attorneys General AI Task Force: Federal Acceleration vs. State Resistance â€” AI: The Washington Report\n
\n                    Read more\n
\n  Federal Preemption in AI Governance: What the Expected Executive Order Means for Your State Compliance Strategy â€”  AI: The Washington Report\n
\n                    Read more\n
\n  White House Pursues Multilateral Approach to AI Leadership Amid Trade Negotiations and Commerce Departmentâ€™s AI Exports Program â€” AI: The Washington Report\n
\n                    Read more\n
\n
\n    See More\n
\n
\n          Read less\n
News & Press
\n
\nTen Mintz Attorneys Recognized in JD Supraâ€™s 2025 Readersâ€™ Choice Awards\n
\n
\nPrivacy Implications of the Facebook Whistleblower Testimony\n
\n
\nCyber Standards for Connected Devices Leverage Federal Purchases\n
\n
\nInternet of Things Law Uses Procurement Process to Boost Cybersecurity\n
\n
\nHow The Election Could Reshape The Telecom Industry\n
\n
\nMyriad Section 230 Bills Show Agreement Still Out Of Reach\n
\n
\nSpecial Report: The Mask Middlemen - How Pop-Up Brokers Seek Big Paydays in a Frenzied Market\n
\n
\nReading the Tea Leaves in NHSTAâ€™s First Approval of Fully Autonomous Vehicles\n
\n
\nThe Impact of AI: Bay Area Experts Discuss the Meaning of Artificial Intelligence and How it Will Affect the Economy and Society\n
\n
\nFormer Senate Staffer Reveals How Congress Can Pass an Autonomous Vehicle Bill\n
\n              Read less\n
Events & Speaking
\n  Dec\n  8\n  2021\n
\nFTC Commissioner Noah Phillips on the Outlook for Privacy and Digital Ads\n
\n  May\n  25\n  2021\n
\nThe Future of In-house Legal Teams & Regulatory Environment\n
\n  Apr\n  6\n  2021\n
\nHow Could Federal Privacy Legislation Evolve in the New Congress?\n
\n  Nov\n  5\n  2020\n
\nDecision 2020: Post-Election Breakdown\t\n
\n  Jul\n  9\n  2020\n
\nAs America Reopens â€“ Disease Contact Tracing Applications & Consumer Privacy\n
\n  Mar\n  30\n  2020\n
\nCoronavirus (COVID-19): Managing the Privacy & Cybersecurity Risks\n
\n  Jun\n  19\n  2019\n
\nHealth Care & Cybersecurity: A Powerful Combination\n
\n            Read less\n
Recognition & Awards
\n
\n

JD Supra Readersâ€™ Choice Award, Top Author â€“ Artificial Intelligence, 2025Â

\n
\n                  Read less\n
Offices
\n
\n
\n    \nWashington, DC\n\n
\n
\n
Related Practices
\n
\n                  Lobbying & Public Policy\n
\n
Education
\n
\n
Oberlin College (BA)
\n
George Washington School of Law (JD)
\n
\n
Recent Insights
\n                                          \n
White House AI Policy Update: Utah AI Bill Opposition, Tech Corps Launch, and State of the Union Data Center Announcements â€” AI: The Washington Report
\n                                          \n
AI Acquihires Under Fire: FTC Signals HSR Scrutiny â€” AI: The Washington Report
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Emerging Federal AI Strategy: FTC Sets Aside Rytr Consent Order; and Uncertainty Looms with BEAD Funding and State AI Laws â€” AI: The Washington Report
\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.'"]}