Truth on trial: How to detect and challenge deepfake evidence in the AI era

How do you detect and challenge deepfake evidence in litigation?

AI has made it easier than ever to fabricate convincing documents, images, audio, and video — creating a new generation of evidence that can mislead courts, opposing counsel, and clients. Detecting a deepfake starts with recognizing common indicators of manipulation, then applying forensic techniques to authenticate the file and preserving a defensible chain of custody from the moment it's identified. This Nextpoint + EDRM webinar, featuring a sitting federal judge and a cybersecurity forensics expert, covers admissibility standards, ethical obligations, and how to work effectively with digital forensics experts to protect the integrity of your case.

Featuring Expert Presenters:

• Brett Burney, Vice President of eDiscovery Consulting, Nextpoint Law Group
• Doug Austin, Editor, eDiscovery Today
• Judge Xavier Rodriguez, U.S. District Court, Western District of Texas
• Dr. Felix Hernandez, DIT, CISSP, CISM, CCSP, CEH, CDPSE, PMP, ITIL, CEO, Felix Hern Speaks

AI's role in litigation isn't limited to deepfakes — see our AI for the Rest of Us author panel for a broader look at using AI responsibly in legal practice.

Who is it for?

Any current practitioner, including attorneys, litigation support managers, judicial officers, and paralegals, who may be confronted by deepfake evidence in a future case. You'll be armed with the knowledge you need to identify and challenge fraudulent AI evidence.

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