Critical Competencies for Avoiding AI-Related Malpractice: AI Hallucinations, Bias, and Confidentiality
Date: Jan 30, 2026 12:00 p.m. – 2:30 p.m.
Location: Online
Member Price: $143.00
Non-Member Price: $179.00
Section Price: $0.00
Areas of Law: For All Attorneys, Technology
Earn up to 3 credits, including 1.8 in Ethics and 0.6 in Diversity! (More Information)
Keynote
Moderator
Presenters
- Hon. Ronald J. Hedges, U.S.M.J. (Ret.)
- U.S.M.J., Ronald J. Hedges LLCis Senior Counsel for Dentons in New York City and a member of the Litigation and Dispute Resolution Practice Group. He has extensive experience in e-discovery and the management of complex civil litigation matters, and has served as a special master, arbitrator and mediator. He also consults on the management and discovery of electronically stored information (ESI).
Admitted to practice in New Jersey, New York, Texas and the District of Columbia, and before several federal courts, Judge Hedges is a former United States Magistrate Judge in the United States District Court for the District of New Jersey (1986-2007), where he was the Compliance Judge for the Court Mediation Program, a member of the Lawyers Advisory Committee, and a member of and reporter for the Civil Justice Reform Act Advisory Committee. A member of the Advisory Group of Magistrate Judges from 2001-2005, he has also been a member of the American Law Institute, the American and Federal Bar Associations, and the Historical Society and the Lawyers Advisory Committee of the United States District Court for the District of New Jersey. Judge Hedges has served on the Sedona Conference Judicial Advisory Board; the Sedona Conference Working Group on Protective Orders, Confidentiality, and Public Access; and the Sedona Conference Working Group on Best Practices for Electronic Document Retention & Protection. He has also been a member of the Advisory Board of the Advanced E-Discovery Institute of Georgetown University Law Center. He is a former Fellow at the Center for Information Technology of Princeton University and has been a member of the College of the State Bar of Texas.
Judge Hedges has been an adjunct professor at Rutgers School of Law-Newark and is a former adjunct professor at Georgetown University Law Center and Seton Hall University School of Law, where he has taught courses on electronic discovery and evidence and mediation skills. He is the author of “Rule 26(f): The Most Important E-Discovery Rule” (New Jersey Law Journal, 5/18/2009) and has authored, edited and co-edited a number of other publications on ESI topics including Discovery of Electronically Stored Information: Surveying the Legal Landscape (BNA, 2007). He is the principal author of the third edition of the Federal Judicial Center’s Pocket Guide for Judges on Discovery of Electronic Information.
Judge Hedges received his B.A. from the University of Maryland and his J.D. from Georgetown University Law Center.
(8/23) - Maura R. Grossman, Esq., Ph.D.
- Research Professor, University of Waterloo
- Kenneth J. Withers, Esq.
- Executive Director, The Sedona Conference, Phoenix
Start 2026 with the advanced AI strategies you need to protect your practice and serve your clients.
As artificial intelligence rapidly transforms the legal landscape, understanding its risks is no longer optional - it's essential for avoiding malpractice. The failure to grasp the nuances of AI can lead to critical errors, including the submission of fictitious case law, breaches of client confidentiality, and advice tainted by algorithmic bias.
In this timely and practical webinar, presented in collaboration with nationally recognized experts, we will move beyond the hype and focus on the core competencies every New Jersey attorney must develop. Our expert panel will provide a clear-eyed look at the most significant malpractice traps associated with generative AI and offer a playbook for using these powerful tools responsibly and ethically.
Whether you're looking to fulfill your final MCLE requirements or get a critical head start on the year's most important technology trend, this program will provide the actionable guidance you need to navigate the future of law.
You will learn to:
- Identify and Mitigate AI "Hallucinations": Learn practical techniques to verify AI-generated legal research and prevent the embarrassing and sanctionable submission of non-existent case law.
- Protect Client Confidentiality: Understand how and when information entered into AI platforms can breach attorney-client privilege and discover best practices for using AI without compromising sensitive data.
- Combat Algorithmic Bias: Recognize how inherent biases in AI models can affect case analysis, legal advice, and outcomes, and learn strategies to ensure fairness and equity.
- Uphold Your Ethical Duties: Examine your duty of technological competence in the age of AI and learn how to supervise its use within your firm to meet the standards of the New Jersey bar.
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