From Pilot to Practice: Operationalizing AI in eDiscovery Operations

Many attorney general offices have begun exploring AI in eDiscovery — testing new tools, running pilots for document review and investigations, and evaluating how AI can improve discovery workflows. But moving from experimentation to scalable, office-wide use presents a different set of challenges. This session focuses on the operational realities of implementing AI within eDiscovery processes: building the right data and governance foundation, securing leadership buy-in, developing policies that support adoption, and ensuring AI-assisted workflows meet the defensibility, transparency, auditability, validation, and chain-of-custody requirements critical to attorney general office work. Featuring practitioners who have navigated this journey from both inside and outside a state attorney general office, this session offers practical, experience-driven guidance for offices at every stage, whether you are beginning to explore AI-enabled eDiscovery, testing pilot programs, or preparing to scale implementation across your organization.

Learning Objectives

• Identify the foundational data, governance, and policy requirements an attorney general office AI-enabled eDiscovery workflows, including data management, review protocols, and defensible processes before moving beyond pilot programs.

• Develop practical strategies for transitioning from isolated AI testing to organization-wide implementation within eDiscovery operations, including workflow integration, sequencing, and securing leadership buy-in.

• Evaluate AI tools for use in document review, investigations, and discovery processes with a focus on defensibility, transparency, auditability, validation, and chain-of-custody requirements relevant to attorney general office work.

• Learn how to overcome common adoption barriers to AI adoption in eDiscovery and moving from simple tool access to meaningful operational use across legal and investigative teams.