The Discovery Decoded Webinar Series, Session 1: Building Defensible AI Review Workflows

Time: Thursday, June 18, 2026 | 1:00 PM Eastern | Live via Zoom

Hosts: ACEDS New York Metro Chapter and BakerHostetler

About This Session:

AI-assisted document review has moved from concept to standard practice, but defensibility still trips up legal teams who adopt these tools without a clear workflow. This session offers a practical introduction to aiR for Review, Relativity’s AI-powered review platform, and walks through the workflow that makes the results stand up in front of a court, an adversary, or a client.

Attendees will leave with a foundational understanding of how AI-assisted review fits into the EDRM, how to develop and iterate on issue prompts, how results are statistically validated, and how the platform can be applied to complex litigation matters. The session is designed for legal professionals who are AI-curious but not yet comfortable putting AI review into production. If you have ever asked whether the output is reliable enough to certify, this session is for you.

Learning Objectives:

By the end of the session, attendees will be able to explain what aiR for Review is and how it fits within the eDiscovery lifecycle, describe the AI review workflow from issue prompt development through validation, set up a project and iterate prompts for quality results, identify use cases where AI review provides efficiency advantages over traditional linear review, and recognize the role of statistical validation in defensible AI-assisted review.

Featured Speakers:

Rachel Koy

Director of Innovation & Strategy, JND eDiscovery. A 2026 Relativity AI Visionary and Relativity Master, Rachel designs AI-driven review workflows for corporate, law firm, and government clients and has helped clients review millions of documents using aiR for Review across some of the most complex litigation matters in the country.

Yitzy Nissenbaum

Project Manager, vdiscovery. Yitzy works directly with litigation teams on document review strategy and platform implementation, including AI-assisted workflows in active matters.

CLE Credit:

CLE accreditation has been applied and pending for in New York, New Jersey, Connecticut, and Pennsylvania. Final accreditation status will be confirmed prior to the event. Attendees seeking CLE credit should register with the email associated with their bar admission.

Registration:

Registration is open through Eventbrite. The Zoom link will be sent to all registered attendees the day before the event. Space is limited.

Thank you to our sponsor Cimplifi.

Thank you to Cimplifi for your continued support of the ACEDS New York Metro chapter and for making programming like the Discovery Decoded series possible.