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A breakdown of what is content and non-content data under the SCA and what can be disclosed pursuant to subpoena.
Justin Wales, Chief Legal Officer for Crypto.com, returns to the podcast to discuss his new book, The AI Legal Handbook. He and the host dig into the emerging AI regulatory landscape, liability frameworks for autonomous systems, and copyright questions in machine learning training data. The conversation also covers how generative AI is reshaping legal education and what governance for AGI might require.
How much does legal AI really cost? We tested 2,000+ prompts across leading LLMs on Certera.AI to analyze token spend from simple legal questions to complex workflows.
Relativity aiR Custom Analyses lets legal teams create their own extraction, classification, and privilege criteria in plain English, no prompt engineering, no black box. Here’s how it works, where it fits against aiR for Review and aiR for Privilege, and how Percipient uses it in our work.
Ahead of RelFest in Chicago, Relativity’s VP of Applied Science, Aron Ahmadia, joins the podcast to talk AI evaluation: what “evaluation as a product” means, why private benchmarks matter, and how testing LLMs differs from testing traditional predictive coding. He also unpacks a recent study pitting TAR and human review against aiR for Review, and shares his take on what’s changing in legal tech next year, and what isn’t.
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