Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
In the latest episode, Jamie Tso and Raymond Sun, the founders of LegalQuants, discuss a fundamental shift in the legal profession: the transition from legal engineering to “legal quant” work.
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.
To reach out, enter your email below and we will be in touch ASAP!