AI Discovery & Defensibility Series — Discovery Execution When AI Is the Evidence: Defensibility and Production (Session 4)

When AI is the evidence, the defensibility of how it is collected, searched, and produced is as consequential as the substance of what it contains. 

On April 29, 2026 at 1:00 PM ET, join us for the fourth session of our "AI Discovery & Defensibility Series: Preparing for the Next Generation of Legal Disputes," which moves from preservation principles to the operational demands of discovery execution.  Building on the fraud-detection scenario developed in prior sessions, we examine how to collect, search, and produce AI artifacts defensibly—and what proportionality and third-party obligations look like when AI systems, rather than human-generated documents, are at the center of the dispute.

Register for Session 4

What We Will Cover

• Defensible collection and search methodologies for AI artifacts, including prompts, outputs, logs, configurations, and model states
• Operationalizing proportionality for AI-affected evidence across complex, distributed systems
• Third-party discovery playbooks for AI vendors and external model providers
• The one-to-many problem: when a single model behavior affects large transaction or customer sets and how that shapes discovery scope and production strategy

Learning Objectives

Attendees will be able to:

• Apply defensible collection and search practices tailored to AI-native evidence types
• Evaluate and operationalize proportionality arguments in the context of AI-affected discovery
• Develop third-party discovery strategies for AI vendors and model providers
• Identify and address the scope challenges that arise when AI behavior has enterprise-wide or population-level impact

Speakers

About the Series

The five-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.

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