Litigation & Appeals

4.54

AI Evidence in Litigation: From Pixels to Proof

Credits Available
Credit Status Total
Alaska CLE Approved 1.5 Total
Arkansas CLE Approved 1.5 Total
Arizona CLE Approved 1.5 Total
California CLE Approved 1.5 Total
Colorado CLE Approved 2 Total
Connecticut CLE Approved 1.5 Total
Delaware CLE Approved 1.5 Total
Florida CLE Approved 2 Total
Georgia CLE Approved 1.5 Total
Hawaii CLE Approved 1.5 Total
Idaho CLE Approved 1.5 Total
Illinois CLE Approved 1.5 Total
Kansas CLE Upon Request 1.5 Total
Maine CLE Approved 1.5 Total
Minnesota CLE Approved 1.5 Total
Missouri CLE Approved 1.8 Total
Northern Mariana Islands CLE Approved 1.5 Total
Montana CLE Approved 1.5 Total
North Dakota CLE Approved 1.5 Total
Nebraska CLE Approved 1.5 Total
New Hampshire CLE Approved 1.5 Total
New Mexico CLE Approved 1.5 Total
Nevada CLE Approved 1.5 Total
New York CLE Approved 1.5 Total
Oklahoma CLE Approved 2 Total
Oregon CLE Approved 1.5 Total
Pennsylvania CLE Approved 1.5 Total
Tennessee CLE Approved 1.5 Total
Vermont CLE Approved 1.5 Total
Washington CLE Approved 1.5 Total
Wisconsin CLE Approved 1.5 Total
West Virginia CLE Approved 1.8 Total
OnDemand
1 hours 28 minutes
Andrew Bauer
Katherine Forrest
With Andrew Bauer from Schwartz Sladkus Reich Greenberg Atlas LLP + 1 other
Recorded January 13, 2025.
Product ID 99684

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Overview

Detect, Create, Authenticate, and Admit AI-Generated Evidence

How do you identify a computer-altered or AI-generated piece of evidence? Does AI-manipulated evidence meet the standards of admissibility? Whether you’re looking at using this evidence yourself or confronting evidence presented by the opposing party, it’s crucial to get informed. Join our faculty for a timely look at the hurdles and best practices for this new era of electronic evidence. Be prepared for the future of AI in the courtroom - register today!

  • Learn how to recognize when evidence has been generated or manipulated by artificial intelligence.
  • Find out how to create and enhance exhibits by using AI.
  • Anticipate hurdles to the admission of AI-generated evidence.
  • Review case law to discover how courts are addressing AI discovery and admissibility questions.

Abbreviated Agenda

  1. Types and Sources of AI-Generated Evidence
  2. How to Recognize AI-Generated or AI-Manipulated Evidence
  3. Bias, Accuracy, Reliability, Transparency, and Data Privacy Concerns
  4. Collecting AI-Generated Evidence
  5. Creating and Enhancing Exhibits by Using AI
  6. Authenticating and Evaluating the Admissibility of AI-Generated Evidence
  7. Presenting AI-Generated Evidence in Court
  8. Keeping AI-Generated Evidence Out of Court: Key Objections
  9. AI Discovery and Admissibility Case Law
Product ID 99684

Credit Details

Credits Available
Credit Status Total
Alaska CLE Approved 1.5 Total
Arkansas CLE Approved 1.5 Total
Arizona CLE Approved 1.5 Total
California CLE Approved 1.5 Total
Colorado CLE Approved 2 Total
Connecticut CLE Approved 1.5 Total
Delaware CLE Approved 1.5 Total
Florida CLE Approved 2 Total
Georgia CLE Approved 1.5 Total
Hawaii CLE Approved 1.5 Total
Idaho CLE Approved 1.5 Total
Illinois CLE Approved 1.5 Total
Kansas CLE Upon Request 1.5 Total
Maine CLE Approved 1.5 Total
Minnesota CLE Approved 1.5 Total
Missouri CLE Approved 1.8 Total
Northern Mariana Islands CLE Approved 1.5 Total
Montana CLE Approved 1.5 Total
North Dakota CLE Approved 1.5 Total
Nebraska CLE Approved 1.5 Total
New Hampshire CLE Approved 1.5 Total
New Mexico CLE Approved 1.5 Total
Nevada CLE Approved 1.5 Total
New York CLE Approved 1.5 Total
Oklahoma CLE Approved 2 Total
Oregon CLE Approved 1.5 Total
Pennsylvania CLE Approved 1.5 Total
Tennessee CLE Approved 1.5 Total
Vermont CLE Approved 1.5 Total
Washington CLE Approved 1.5 Total
Wisconsin CLE Approved 1.5 Total
West Virginia CLE Approved 1.8 Total
Select Jurisdiction
CLE

Agenda

All times are shown in
  1. AI Evidence in Litigation: From Pixels to Proof

    1. Types and Sources of AI-Generated Evidence
    2. How to Recognize AI-Generated or AI-Manipulated Evidence
    3. Bias, Accuracy, Reliability, Transparency, and Data Privacy Concerns
    4. Collecting AI-Generated Evidence
    5. Creating and Enhancing Exhibits by Using AI
    6. Authenticating and Evaluating the Admissibility of AI-Generated Evidence
    7. Presenting AI-Generated Evidence in Court
    8. Keeping AI-Generated Evidence Out of Court: Key Objections
    9. AI Discovery and Admissibility Case Law

Who Should Attend

This program is designed for attorneys. Paralegals may also benefit.

Speakers

Andrew Bauer
Andrew
Bauer
Schwartz Sladkus Reich Greenberg Atlas LLP
Katherine B Forrest
Katherine B.
Forrest
Paul, Weiss, Rifkind, Wharton & Garrison LLP
Speaker bio
Andrew Bauer

Andrew Bauer

Schwartz Sladkus Reich Greenberg Atlas LLP
Andrew Bauer

is a partner at Schwartz Sladkus Reich Greenberg Atlas LLP. He is a seasoned counselor to companies, executives, boards of directors, investors, and individuals with experience as a federal prosecutor, defense attorney and, most recently, general counsel to multiple technology startup companies. Mr. Bauer serves as outside general counsel to several businesses, with a particular focus on startup and technology companies, helping his clients navigate complex and sensitive corporate and regulatory issues. Along with general corporate advice, he also regularly handles internal and government investigations, white collar criminal defense, litigation, executive compensation and disputes and employment matters. He served six years as a federal prosecutor with the U.S. Department of Justice (DOJ) as an Assistant United States Attorney in the U.S. Attorney's Office for the Southern District of New York (SDNY), where he was a member of the Securities and Commodities Fraud Task Force. As an AUSA, Mr. Bauer led investigations and prosecutions involving securities fraud, insider trading, investment advisor fraud, market manipulation, money laundering, and violations of the Foreign Corrupt Practices Act (FCPA), including as the lead prosecutor on the SDNY's investigation and prosecution of Visium Asset Management and related individuals. In addition, he served as the criminal AUSA on a number of large investigations into alleged violations by pharmaceutical manufacturers of the False Claims Act and the Anti-Kickback Statute, among other statutes. He then moved in-house, joining One Zero Capital, a venture capital firm, serving as general counsel and deputy general counsel to two of One Zero's portfolio fintech companies, Better Mortgage and Notable Finance. Most recently, Mr. Bauer worked as deputy general counsel and corporate secretary to Pagaya Technologies, an artificial intelligence (AI) powered fintech also operating in the lending space. His experience operating in highly regulated industries (lending, mortgage, real estate, AI, investment management) provides significant value to similarly situated companies. Mr. Bauer earned his B.A. degree, cum laude, from University of Pennsylvania and his J.D. degree, cum laude, from University of Michigan Law School.

Speaker bio
Katherine B Forrest

Katherine B. Forrest

Paul, Weiss, Rifkind, Wharton & Garrison LLP
Katherine Forrest

is a partner in the litigation department, chair of the digital technology group and a member of the antitrust practice group at Paul, Weiss, Rifkind, Wharton & Garrison LLP. She previously served as a U.S. district judge for the Southern District of New York and as a deputy assistant attorney general in the U.S. Department of Justice's Antitrust Division. A veteran trial attorney, Ms. Forrest regularly handles sensitive high technology investigations, litigation and advisory (in the areas of artificial intelligence, cryptocurrency and blockchain), complex commercial and antitrust litigation and intellectual property matters. A remarkable litigator and trial talent with more than 30 years of experience, she has led sensitive, high-profile investigations involving the DOJ, FTC and other U.S. and foreign regulators; and complex, high-stakes litigation spanning numerous substantive areas such as antitrust, copyright, patent, media, sports and entertainment and high technology including artificial intelligence, Web3 and digital assets. Ms. Forrest has also worked extensively in the pharmaceutical, financial services, toxic tort and employment sectors. She was nominated by President Barack Obama and confirmed by the U.S. Senate in 2011 as a U.S. District Judge for the Southern District of New York. In her seven years on the bench, Ms. Forrest presided over several thousand criminal and civil cases, including over 100 trials; authored more than 1,000 opinions; and sat by designation on the Second Circuit for dozens of appeals. The Judicial Panel on Multidistrict Litigation consolidated over 30 lawsuits filed nationwide concerning aluminum price-fixing allegations before her. As a member of the Judicial Patent Task Force for the Southern District of New York, she presided over several dozen patent cases and conducted numerous Markman hearings. Before stepping down from the bench, Ms. Forrest also served on the Grievance Committee for the Southern District, including as chair from 2016 - 2018. Earlier, in 2010, she served as deputy assistant attorney general in the DOJ's Antitrust Division, where she oversaw operations for criminal and civil enforcement and worked on merger review and numerous civil and criminal (cartel and price-fixing) antitrust investigations. Prior to her eight years in government service, Ms. Forrest  advised on and litigated antitrust, intellectual property, employment and contract issues for a wide range of clients in the media, airline, banking, healthcare, pharmaceutical and manufacturing industries. Over the years, her clients have included Time Warner and a number of its divisions, including Home Box Office, Warner Brothers Studios, Turner Broadcasting Systems and Time Warner Cable, as well as Warner Music Group, WarnerMedia, Schneider Electric, Fenway Sports Group, Eli Lilly and United Airlines.

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