In his latest post, Jim Gill of Hanzo discusses how the discovery data volume in the FTX case demonstrates yet another need for AI!

In the blog post titled Unprecedented Discovery Data Volume in FTX Case Highlights Growing Need for AI (available here), Jim discusses his second case in as many weeks (here was last week’s case). This time, he’s discussing the ongoing case of Sam Bankman-Fried and his failed crypto exchange FTX, the growing volume of evidence highlights the new landscape of eDiscovery challenges when it comes to the breadth of new data sources showing up in corporate litigation.

According to the New York Times, this evidence ranges from snippets of computer code, Slack messages, and other digital records, to more than six million pages of emails and a small black notebook, filled with handwritten observations.

The Times reports that this is “among the largest ever collected in a white-collar securities fraud case prosecuted by the federal authorities in Manhattan.” For comparison, the 2004 securities fraud prosecution of Martha Stewart produced 525,000 pages of evidence for the defense team.

In the FTX case, Mr. Bankman-Fried’s Google accounts alone contained 2.5 million pages of ESI, and according to Nicolas Roos, a federal prosecutor investigating FTX, “the government had obtained a laptop crammed with so much information that the FBI technicians were struggling to decipher it.”

Wow.

So, what time constraints are they working under? And how can AI help address discovery data volume in the FTX case? Find out here – it’s only one more click! Don’t worry, the data volume in his post is very manageable!

So, what do you think? How does your organization leverage AI in litigation? Please share any comments you might have or if you’d like to know more about a particular topic.

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