AI Discovery & Defensibility Series — Preservation, Audit Trails & Root Cause (Session 2)

February 2026 | Presented by Redgrave LLP in Partnership with Deloitte | April 1, 2026 at 1:00 PM ET

As AI systems generate distributed and rapidly changing data, traditional preservation practices are no longer enough.

On April 1, 2026 at 1:00 PM ET, join us for the second session of our “AI Discovery & Defensibility Series: Preparing for the Next Generation of Legal Disputes,” which explores what must be preserved to avoid spoliation, how to document and reconstruct AI system behavior, and how to develop audit trails that support defensible investigations. Using the fraud‑detection scenario from Session 1, we will examine how to trace events across models, logs, connectors, and policies to build a complete and credible factual record.

What We Will Cover

The AI‑native data sources that matter most for preservation at this time
How to reconstruct events across the AI liability chain (enterprise, vendor, compliance, third-party data providers)
Designing pragmatic, proportional audit trails for complex AI systems
How ephemeral and distributed AI artifacts complicate preservation
When high-level governance documentation may suffice—and when deeper forensic reconstruction is required

Learning Objectives

Attendees will be able to:

Identify which AI-generated artifacts must be preserved in investigations
Apply audit‑design patterns to create defensible, repeatable documentation
Understand how to assemble a complete factual narrative across systems
Differentiate between proportional governance‑level preservation and deep forensic analysis

Speakers

Redgrave LLP: Erica Zolner, Partner; Tom Seymour, Managing Director
Deloitte: Mike Weil, Managing Director; Richard Sang, Senior Manager

About the Series

The three-part AI Discovery & Defensibility Series: Preparing for the Next Generation of Legal Disputes explores how organizations can prepare for investigations and disputes emerging from AI-enabled operations, including preparation for the inevitable discovery focused on AI systems and outputs. Each session delivers practical, experience-based guidance to help teams navigate emerging AI-related complexities that will permeate dispute resolution in the future. Each session stands alone, but the content builds progressively for those attending the full series. If you cannot attend live, recordings will be available.