What happens to evidence in the world of deepfakes? Does the NY Times have a reasonable complaint about OpenAI training on their content? How do you prevent someone maliciously generating cases at scale? Maura practiced law for 17 years, was a pioneer in eDiscovery, and is now a professor of computer science, and is incredible well-read and thoughtful on all these big questions.

Topics Covered:

(10:38) Why do you need to disclose that you use eDiscovery tools, and not e.g. Google search? Where is that line drawn?

(16:06) Is there a standard test by which people evaluate tools to determine if they should be approved or not? 

(17:59) Why was the case about ChatGPT-created citations actually worse than most perceive?

(21:00) How did you then see judges respond to this event?

(23:48) Where will the line be drawn between disallow entirely or just disclose?

(33:02) In the genAI curve of acceptance, where are we?

(35:32) Evidence and deepfakes

(41:28) What will the legal profession look like in this new world?

(44:09) Do publishers have any recourse for models being trained on their data?