Recorded Webinar

Built-In Validation, Built-In Confidence: How Relativity aiR Delivers Defensible Generative AI Review

As generative AI becomes engrained in review, legal teams must answer a fundamental question: How do I prove that the AI is getting decisions right?

The answer? Validation.

With Relativity aiR for Review, validation isn’t an afterthought—it’s an embedded, end-to-end process that puts statistical rigor and legal defensibility at the heart of AI-powered review.

Join our experts for an in-depth look at how aiR for Review’s built-in validation meets the highest legal standards so you can conduct generative AI-powered document review with confidence and credibility. We covered:

  • aiR for Review’s start-to-finish validation workflow
  • How to develop and test your prompt criteria before applying it at scale
  • Guidance on building samples and interpreting metrics like recall, precision, and elusion
  • Best practices for establishing processes, reducing bias, and advocating for the use of aiR for first-pass document review 


Learn how to put aiR for Review’s validation to work so you can measure performance, build trust, and stand behind your results.

Speakers

Tara Emory
Special Counsel,
Covington & Burling LLP
Alena Povoliaeva
Lead, eDiscovery Services – Case Strategy & Analytics,
Miller Thomson, LLP
Cristin Traylor
Senior Director, AI Transformation and Law Firm Strategy,
Relativity
Katie Simon
Product Manager,
Relativity