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Deepfakes in eDiscovery, What You Need to Know: eDiscovery Trends

Deepfakes in eDiscovery

You’re probably not surprised that deepfakes in eDiscovery are a growing challenge. This blog post from Relativity discusses the scope & solutions!

The post (Deepfakes in eDiscovery: The Scope and Solution of an Emerging Problem, written by Sam Bock and available here) recaps a panel from Relativity Fest Chicago last year with the following speakers:

Notably, claims of deepfake legal evidence are already surfacing in U.S. courts (see: United States v. Guy Wesley ReffittUnited States v. Anthony WilliamsUnited States v. Joshua Christopher Doolin, and Sz Huang et al v. Tesla, Inc. et al). Concerns about deepfakes are understandable, when audio and video evidence are on the rise in litigation. To back up that statement, Relativity ran the numbers and found a 40 percent year-over-year growth in audio files and a 130 percent growth in video files in RelativityOne.

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We’ve certainly seen stories about AI-generated deepfakes on the rise, including here and here.

So, what are some of the specific challenges associated with deepfakes in eDiscovery? And what can you do to address the problem? Find out here, it’s only one click! You can even watch the recorded session here! That’s deep! 😉

So, what do you think? Have you encountered any deepfakes in discovery yet? Please share any comments you might have or if you’d like to know more about a particular topic.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by my employer, my partners or my clients. eDiscovery Today is made available solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscovery Today should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

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