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Personal Injury Cases and Artificially Generated Evidence: Ascertaining, Proving, and Challenging Relevance and Reliability

Recording of a 90-minute CLE video webinar with Q&A

This program is included with the Strafford CLE Pass. Click for more information.
This program is included with the Strafford All-Access Pass. Click for more information.

Conducted on Wednesday, April 27, 2022

Recorded event now available

or call 1-800-926-7926

This CLE course will discuss the increasing importance in civil cases of ascertaining, proving, and challenging the admissibility of evidence derived from artificial intelligence (AI) applications. The program will discuss what AI is and how it works, what kinds of AI application are being used, issues implicated by AI, and how the rules of evidence affect and apply to admissibility, including the need for expert witnesses, and hurdles that must be overcome before such applications or the resulting data can or should be admitted in a case.


AI applications are growing increasingly ubiquitous. Thus, counsel have no choice but to understand how to admit AI evidence--or object to its admission--in the courtroom. Counsel must comprehend AI fundamentals, including what AI is and how it works, and what issues AI raises. Counsel ignore AI evidence at their own and their clients' peril.

As insurance companies, medical providers, and other companies more frequently rely on data from AI-based processes to make decisions, plaintiffs' counsel must understand how to challenge the validity, reliability, and therefore, admissibility of this data.

Both plaintiff and defense counsel must fully appreciate which rules of evidence apply to AI evidence, and what proofs are necessary. With renewed emphasis on the court's gatekeeping function, choosing the right expert(s) can make or break the case.

Listen as this experienced panel addresses what AI is, how it works, how AI is used by lawyers, what judges need to know, admissibility issues when introducing AI evidence, and a discussion of applicable rules of evidence.



  1. AI fundamentals
  2. Current uses of AI in the law
  3. Issues implicated by AI
  4. Application of the evidence rules to AI


The panel will discuss these and other pivotal issues:

  • A plain-English explanation of what AI is, how it works, and what it can do
  • A description in how AI is being used in litigation
  • An understanding of what factors determine the validity and reliability of AI applications, and what rules of evidence govern its admissibility
  • Knowledge of the kind of experts and testimony that will be necessary when seeking to admit AI evidence


Grimm, Paul
Honorable Paul W. Grimm

District Judge
United States District Court for the District of Maryland

Judge Grimm graduated with an A.B. (with highest honors) from the University of California, Davis in 1973. He received...  |  Read More

Grossman, Maura
Professor Maura R. Grossman, JD, PhD

Research Professor
David R. Cheriton School of Computer Science at the University of Waterloo

Ms. Grossman, J.D., Ph.D., is a Research Professor in the David R. Cheriton School of Computer Science at the...  |  Read More

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