AI Discovery & Defensibility Series: Preparing for the Next Generation of Legal Disputes

Artificial intelligence (including GenAI) is now woven into core products and services as well as everyday enterprise workflows, creating new categories of discoverable data, expanding regulatory scrutiny, and accelerating the pace at which legal teams must understand and address complex systems.

Even well-governed AI deployments can generate unexpected litigation exposure as prompts, outputs, model states, configurations, and logs become part of the potential evidentiary record.  These new and novel data sources and types will become critical to support claims and defenses in a myriad of future disputes.  Yet most organizations are not prepared for this shift as they scramble to deploy AI at scale in their enterprises.  

Our three-part AI Discovery & Defensibility Series: Preparing for the Next Generation of Legal Disputes offers a practical, litigation-informed perspective on how to anticipate these challenges, understand where AI creates real risk, and build the defensibility needed to comply with new legal discovery demands emerging in disputes and investigations in the AI era to ensure that organizations can effectively bring and defend claims.  Critically, the issues surrounding the identification, preservation, collection, and review of AI artifacts are fundamentally different from traditional discovery, and clients as well as their legal teams must adapt accordingly.  Each session in the series provides the experienced guidance and foresight needed to navigate these complexities with confidence.

All sessions are open for registration.  While each session stands on its own, the concepts build on one another for those attending the full series.  If you cannot make a session, recordings will be available.

Session 1 — March 18, 2026 at 1:00 PM ET

Where AI Deployment Creates Legal Exposure That Leads to Discovery Demands
How everyday AI workflows create discovery and regulatory risk—and the AI‑native evidence teams must identify early.  Learn more about Session 1 here.
Register for Session 1

Session 2 — April 1, 2026 at 1:00 PM ET

Preservation, Audit Trails & Root Cause
What must be preserved, how to reconstruct events across AI systems, and how proportionality applies to the AI‑era fact-finding.  Learn more about Session 2 here.
Register for Session 2

Session 3 — April 15, 2026 at 1:00 PM ET

Privilege, Confidentiality & Data Flows
How AI systems affect privilege boundaries, confidentiality risk, and defensible data‑flow governance.  Learn more about Session 3 here.
Register for Session 3

Why Attend

• A real-world fraud‑detection scenario shows how AI failures cascade across systems and provides the groundwork for practical dialogue that is extensible to multiple environments.
• Our discussions will go in depth to explain and explore how AI introduces new evidence sources such as prompts, logs, and model states, with the scale and variety of data involved eclipsing anything from the past.
• Experienced insight blends legal defensibility, technical investigation, and prudent and practical AI governance to provide a roadmap for future legal discovery compliance.

Who Should Attend

Legal, compliance, IT, information governance, privacy, risk, and investigations professionals.

Speakers

Led by practitioners from Redgrave LLP and Deloitte with deep experience in litigation, AI risk, discovery, and technical investigation.

FAQs

• Do I need to attend all three?  No, but the sessions are designed to build on each other.
• If I miss a session, can I catch up?  Yes.  Recordings will be available for registered attendees.
• Is there a cost?  No, this series is complimentary.