BarbriSFCourseDetails
  • videocam On-Demand
  • signal_cellular_alt Intermediate
  • card_travel Personal Injury and Med Mal
  • schedule 90 minutes

AI in Personal Injury Litigation: Practical Guidance for Avoiding Unforced Errors and Avoiding Sanctions

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About the Course

Introduction

This CLE webinar will provide guidance to personal injury lawyers on both sides about how to avoid what one decision has called the "darker consequences of AI." The program will discuss hallucinated cites, misstatements, obfuscation of facts, the wasting of judicial resources, and other problems that arise from using generative AI, agentic AI, ChatGPT, and other similar programs to manage cases or to help frame, anchor, and persuade opposing counsel, courts, and juries. The presenters will review trends regarding increasingly severe sanctions and offer practical tips for steering clear of pitfalls.

Description

AI companies promise personal injury lawyers on both sides faster, "smarter," and more accurate ways to review and summarize large amounts of data (medical records, expert reports, prior trial testimony, treatises, reported case law) and to prepare everything from deposition outlines to demand letters and settlement packages to motions and briefs. Some platforms promise they can predict likely outcomes on key issues depending on who the judge is. Attorneys have to separate the marketing hype from reality.

The pitfalls of overconfidence in generative and agentic AI are legion, however. A new tale of false AI-generated citations is reported almost every day, often involving firms with stellar reputations. There is at least one website trying to catalog AI hallucinations. Errors include mischaracterization of case holdings, mistitling of cases, made-up cases, made-up quotations from actual cases, decisions from unrelated areas of the law, and more. The problem will likely be exacerbated by pro se litigants. Further, if AI can misstate or manufacture a legal case, it can hallucinate about what was really in those reports, records, or prior depositions.

Judges are losing patience with attorney excuses, and sanctions and consequences are escalating both for attorneys and their clients. Attorneys need more than policies about AI use; they need practical checks to catch problems.

Listen as this experienced panel of trial lawyers discusses how and why these problems are not being spotted and corrected and then offers practical ways of safely and responsibly using the latest technologies when undertaking the routine tasks their practice requires. 

Presented By

James M. Lee
CEO, Co-Founder
LegalMation

Mr. Lee is the Co-Founder and CEO of LegalMation. He is dedicated to helping companies and law firms achieve greater profitability and efficiency through the innovative use of AI. Mr. Lee is also a founding partner of LTL Attorneys LLP, a nationally recognized litigation boutique. He is frequent speaker and commentator on AI and innovation in law, sharing insights and developments with peers and industry leaders.

Frank Ramos
Partner
Goldberg Segalla

Mr. Ramos is a nationally recognized legal advisor and litigator, he has been defending clients in civil litigation for more than 26 years, focusing his practice on retail, product liability, premises liability, trucking, insurance, and commercial disputes. A seasoned litigator, Mr. Ramos has taken numerous trials and arbitrations to verdict or award. He uses his extensive litigation experience to provide counsel, defense, and strategic guidance to retailers, developers, restaurants, fitness chains, hotels, resorts and other hospitality businesses. Mr. Ramos's representation has included negligent security, slip/trip and falls, catastrophic personal injury, trucking and motor vehicle accidents, employment and construction claims, as well as a variety of commercial disputes ranging from intellectual property and breach of contract to bad faith, franchise agreements, and landlord-tenant issues. In his product liability practice, he has advocated for clients in cases alleging toxic exposure and personal injury for manufacturers and distributors in the pharmaceutical, medical, construction, asbestos and silica, machinery, household product, safety equipment, recreational vehicle, trucking and automotive industries. Highly regarded by his peers in the legal community, Mr. Ramos was named Miami’s Product Liability Lawyer of the Year for both 2020 and 2023 by The Best Lawyers in America.

Credit Information
  • This 90-minute webinar is eligible in most states for 1.5 CLE credits.


  • Live Online


    On Demand

Date + Time

  • event

    Friday, November 21, 2025

  • schedule

    1:00 p.m. ET./10:00 a.m. PT

I. Introduction

A. Legal technology landscape

B. Mechanics of ChatGPT, agentic AI, and generative tools

C. Limitations and problems with generative tools

D. Contrasted with traditional online research

II. Case uses for personal injury lawyers

III. Concerns and limitations

IV. Judicial responses to misuse

V. Practical methods of avoiding pitfalls

The panel will consider these and other important issues:

  • Can AI assist in legal decision-making, risk assessment, prediction of case outcomes, and selection of key issues?
  • What are practical solutions for avoiding and ferreting out hallucinated legal precedent?
  • Can AI distill useful analysis from oral arguments or trial videos?
  • Should attorneys consider voluntarily "verifying" how or if AI was used in court filings?
  • How are court responses to AI missteps changing?