Ethics of Using ChatGPT: Pitfalls & Effective Uses

Overview of Ethics of Using ChatGPT: Pitfalls & Effective Uses

Generative AI tools like ChatGPT offer efficiency for attorneys but raise significant ethical questions, and some lawyers have already been sanctioned for misuse. This seminar reviews what AI, machine learning, and generative AI are, explores the ethical and legal pitfalls of using AI (with relevant ABA Model Rules of Professional Conduct and a recent misuse example), contrasts them with effective uses that streamline work and avoid error, and discusses AI's short- and long-term impact on the profession.

What you’ll learn in Ethics of Using ChatGPT: Pitfalls & Effective Uses

• Explain how artificial intelligence, machine learning, and generative AI work
• Identify the ethical and legal pitfalls of using AI and the applicable ABA Model Rules
• Apply AI effectively to streamline legal work while avoiding human error
• Anticipate the short- and long-term impact of AI on the legal profession

Curriculum

1. 1. Overview of Artificial Intelligence and How it Works

   AI, machine learning, and generative AI explained.

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2. 2. Pitfalls of Using AI for Attorneys

   Ethical and legal pitfalls and applicable ABA Model Rules.

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3. 3. Effective Uses of AI for Attorneys

   Uses that streamline work and reduce error.

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4. 4. Impact of Artificial Intelligence on the Legal Profession

   Short- and long-term impact of AI.

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Your instructors

Daniel B. Garrie

Founder, Law & Forensics; Neutral at JAMS; Faculty at Harvard

Law & Forensics LLC · JAMS · Harvard · Rutgers Law School · Journal of Law & Cyber Warfare

Daniel B. Garrie is the founder and executive managing partner of Law & Forensics LLC, a boutique cybersecurity and forensic engineering firm he co-founded in 2008. He serves as a neutral, arbitrator, and forensic special master at JAMS, focusing on cybersecurity, cryptocurrency, and complex technology disputes, and holds faculty appointments at Harvard and Rutgers Law School. A patented software inventor and prolific author, he is editor-in-chief of the Journal of Law & Cyber Warfare and a widely cited authority on computer forensics, eDiscovery, and cyber litigation.

Ryan Abbott

Mediator and Arbitrator, JAMS; Professor of Law and Health Sciences, University of Surrey

JAMS

Ryan Abbott is a mediator, arbitrator, and court-appointed neutral with JAMS, handling intellectual property, health care, life sciences, and technology disputes. He is Professor of Law and Health Sciences at the University of Surrey School of Law and Adjunct Associate Professor of Medicine at the David Geffen School of Medicine at UCLA, and is a licensed physician, a patent attorney in California and New York, a solicitor advocate in England and Wales, and a Fellow of the Chartered Institute of Arbitrators. He wrote The Reasonable Robot: Artificial Intelligence and the Law (Cambridge University Press, 2020) and leads the Artificial Inventor Project, the pro bono series of test cases behind the world's first patent granted for an invention made by an AI. He co-created the JAMS AI Dispute Resolution Rules and holds an M.D. from UC San Diego, a J.D. from Yale, and a Ph.D. from Surrey. At Legal Cyber Academy, Ryan Abbott teaches on the ethics of using ChatGPT, including its pitfalls and effective uses.

Bradford Newman

Partner and Head of Complex Technology Disputes (US), Eversheds Sutherland

Baker McKenzie

Bradford Newman is a partner at Eversheds Sutherland and the firm's Head of Complex Technology Disputes (US), based in Silicon Valley, where he joined when the firm opened that office in 2025. He serves as lead trial counsel in national and cross-border high-stakes technology and trade secret litigation, and advises boards and C-suites on governance and regulatory risk in artificial intelligence, blockchain, decentralized finance and cryptocurrency. He is the founder and longtime co-chair of the American Bar Association's AI and Blockchain Subcommittee and edits the trade secrets chapter of the ABA Business Law Section's Annual Review. He previously chaired Baker McKenzie's North America Trade Secrets Practice, and is ranked by Chambers USA in trade secrets. At Legal Cyber Academy he teaches on ransomware and forensics, and on artificial intelligence and its regulation in legal practice.