AI Discovery & Defensibility Series — Privilege, Confidentiality & Data Flows (Session 3)

February 2026 | Presented by Redgrave LLP in Partnership with Deloitte | April 15, 2026 at 1:00 PM ET

AI systems increasingly rely on distributed data flows, third-party integrations, and model‑training pipelines that can unintentionally expose or blur the line protecting privileged or confidential information from disclosure in discovery.

On April 15, 2026 at 1:00 PM ET, join us for the third session of our “AI Discovery & Defensibility Series: Preparing for the Next Generation of Legal Disputes,” which examines how AI-generated and AI-processed data can create privilege risks, how to structure privilege-preserving architectures, and how to defensibly allocate responsibility across internal teams and external vendors. Using the fraud‑detection scenario introduced in Session 1 and continued in Session 2, we will explore how features of AI behavior complicate privilege, confidentiality, and evidentiary boundaries.

What We Will Cover

How AI-driven data flows intersect with privilege and confidentiality obligations
AI-specific characteristics, such as non-deterministic outputs and their impact on analysis
What happens when third-party vendors, training data, or model outputs touch privileged material
Architectures and controls that preserve privilege across AI-enabled workflows
How to reconstruct decision rationale across human and AI actors
How privilege and confidentiality risks mirror challenges seen across other regulated industries

Learning Objectives

Attendees will be able to:

Identify privilege and confidentiality risks arising from AI-generated and AI-processed data
Apply privilege-preserving patterns to enterprise AI usage
Understand how to defensibly allocate responsibility among internal teams and external providers
Reconstruct decision rationale in environments where AI contributes to or influences outcomes

Speakers

Redgrave LLP: Ray Mangum, Partner; Mike Kearney, Director
Deloitte: Jon Foster, Managing Director; Kathleen Maloney, 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.