Turn AI Accountability Into Action

Evaluate AI Readiness Before Expanding Use

AI workflows can move from pilot to routine use before teams have defined the controls around them. Legal and FOIA leaders need clear answers about what AI can access, how output is checked, what records are created, and who owns the final result.

This practical checklist provides 20 questions to help teams evaluate a proposed AI workflow, review an existing deployment, or prepare for internal planning, procurement, and vendor discussions. 

What You’ll Evaluate 

  • Workflow and Purpose: Define the task AI will support, the intended outcome, and the decisions that must remain with people  

  • Data, Access, and Security: Determine what information AI may access, where it may operate, and which actions are allowed  

  • Verification and Accountability: Establish how output will be validated, traced to source material, and approved  

  • Records and Defensibility: Address retention, documentation, litigation hold, FOIA, and production requirements  

  • Measurement and Scale: Evaluate results, fully loaded cost, training needs, and the evidence required before expanding use 

This form requires JavaScript

From AI Hype to AI Accountability Thank you page Cover Image

Explore the Research Behind the Checklist

What Are Legal and FOIA Practitioners Learning About AI Accountability?

 From AI Hype to AI Accountability draws from conversations with practitioners across corporate legal departments, federal agencies, and law firms. The whitepaper examines where AI is creating value, where governance gaps are appearing, and what teams need to build more controlled, verifiable, and defensible workflows. 

Download the Whitepaper