Replay-AI Hypothetical-Live Tabletop for Civil Practitioners

Date: Jul 27, 2024 9:00 a.m. – 11:30 a.m.

Location: Online

Member Price: $184

Non-Member Price: $225

Event Code: I150224R

Areas of Law: For All Attorneys

Earn up to 3 credits! (More Information)

Faculty

Keynote

Moderator

Presenters

Hon. Ronald J. Hedges (Ret.)
Former USMJ
Principal, Ronald J. Hedges LLC
is 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)
Anjali S. Dalal, Esq.
Wiggin and Dana, New York
Vincent I. Ferrer, Esq.
A.Y. Strauss, Livingston
Barry J. Schindler, Esq.
Greenberg Traurig LLP, Florham Park

Best of NJICLE Replay
Don't miss this opportunity to catch up on the AI Hypothetical-A Live Tabletop for Civil Judges and Lawyers seminar you missed!


The New Jersey Supreme Court Committee on Artificial Intelligence, along with the Judiciary and NJSBA/NJICLE are proud to present this unparalleled seminar on AI with a real-time tabletop exercise. 

Hear directly from judges and experienced attorneys as they engage in a live hypothetical AI scenario, showcasing the potential strengths and pitfalls of the integration of AI in civil law. This unique seminar will offer a front-row seat to the dynamic interplay between cutting-edge technology and legal expertise. Participants will witness the role of AI in complex legal scenarios and learn how litigators and judges may use AI technologies in discovery and approach expert witnesses and evidentiary determinations. Panelists will offer insights and predictions about how AI could transform the landscape of civil litigation and dispute resolution.

As the program unfolds, judges and lawyers will navigate through a carefully crafted hypothetical case designed to mirror real-world complexities and legal dilemmas. Panelists will discuss how AI technologies can give rise to civil legal claims, as well as how attorneys may use AI in trial preparation. Attendees will have the opportunity to consider how they would approach the issues raised in the hypothetical, including what steps they would take to protect proprietary information, maintain attorney-client privilege, and establish the qualifications of an AI expert. Judges and lawyers will discuss the broader implications of integrating AI technology into legal practice. The seminar aims to equip legal professionals with a deeper understanding of AI's capabilities and limitations through an interactive experience, preparing them for a future where technology and law converge to create new legal issues and variations in legal practice

CLE Credits
NJ CLE:NJ CLE information: This program has been approved by the Board on Continuing Legal Education of the Supreme Court of New Jersey for 3 hours of total CLE credit (Full Credits Available: NJ General: 3.0).
NY CLE (t&nt):NY Professional Practice Transitional: 3.0
PA CLE:PA Substantive Credit: 2.5
New: No PACLE fee is required for this program. To earn PA CLE credits, a valid PA Bar ID number must be entered into the CLE form provided after attending the program.

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Read our Scholarship & Financial Assistance Policy and submit an Application here: https://njsba.com/njicle/cle-programs/scholarship/

 

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