AI in Discovery, Including Experts
A. Advances in TAR
i. Old Tech – TAR 1.0 – “predictive coding” by supervised learning
ii. Newer Tech – TAR 2.0 – “continuous learning” model updates in near real time
- Testing/Training protocols different than before
- Elusion Testing
B. New Applications
i. Privilege review: platforms implementing AI to automate review for privilege documents driven by TAR
- Risk of Disclosure/Waiver
- Ethical Issues: how low does precision need to go to ensure all documents captured? Risk of violating discovery obligations without human review?
C. Data Mining/Analysis
i. Case Valuation: analysis of public verdict/settlement amounts to estimate potential recovery/liability – potential use for funders, insurers, etc.
- Paul R. Gupta, Rimon P.C.
- Ronald J. Hedges, Principal of Ronald J. Hedges LLC | Former United States Magistrate Judge in the District of New Jersey
- Christian Levis, Lowery Dannenberg P.C.
- Marissa J. Moran, J.D., Attorney and Professor in the Department of Law & Paralegal Studies New York City College of Technology Brooklyn, NY
- June 1, 2023
- 12:00 PM
- 1:00 PM
- Virtual Participation
- Ronald J. Hedges, Ronald Hedges, LLC
- Christian P. Levis, Lowey Dannenberg P.C.
- Marissa J. Moran, New York City College Of Technology , CUNY
- Paul Gupta, Rimon P.C.
- Committee on Technology and the Legal Profession
- Technology Committee (Dispute Resolution Section)
- Committee on Continuing Legal Education
- Dispute Resolution Section
- Commercial & Federal Litigation Section