TAR has been around for quite a while and has become an accepted tool in e-Discovery. Generative AI is the new kid on the block, and it remains to be seen which one will win out. But maybe it isn’t an either/or proposition? Can they live in harmony with each other? Is one tool better than the other, or are there specific circumstances where you would pick a certain solution?
Join JND and Relativity for a discussion around the differences, the similarities, and the pros and cons surrounding each. We will hear about experiments on real data that pitted Active Learning and aiR for Review (Relativity’s generative AI solution for review) against each other. Find out which solution won!
Key Takeaways:
- Evaluation criteria for when to use TAR or aiR for Review
- Results of benchmaking experiments
- Ways to combine TAR and generative AI solutions
Speakers:
Ben Sexton, Vice President of eDiscovery, JND eDiscovery LLC
Cristin Traylor, Director, AI Transformation & Law Firm Strategy, Relativity
Panelists:
Christian Levis, Partner, Lowey Dannenberg, P.C.
Jonathan Moody, eDiscovery Sales, JND
Leeanne Mancari, Partner, Covington & Burling LLP
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