How your team uses AI
Checks and controls
Value and barriers
Tools and platform
About you

Real cases, real answers: how teams actually use AI 

The benchmark covers four decisions every eDiscovery team is making: where AI runs on live matters, how its work gets checked, whether legal holds cover Copilot and ChatGPT, and what’s really paying off.
Get the full report before it’s published, broken out by law firm size, corporate legal, service providers and government, so you can compare with true peers.
For everyone who works on eDiscovery, in law firms, corporate legal teams, service providers & government.
10 questions · About 3 minutes · Answers never linked to you

How your team uses AI

1. How does your team use AI in eDiscovery work today? (pick one)
2. Where does your team use AI on cases today? (pick all that apply)

Checks and controls

3. How does your team check AI’s work when deciding which documents to hand over to the other side or to a regulator? (pick the closest)
4. Do your legal hold notices and preservation scope explicitly cover AI tool data such as prompts, outputs, and Copilot activity?

Value and barriers

5. How do you measure whether AI is paying off? (pick all that apply)
6. What holds back wider use of AI in your eDiscovery work? (pick up to 2)

Tools and platform

7. What matters most when choosing an AI tool for eDiscovery? (pick up to 2)
8. How is your main eDiscovery platform deployed? (optional)

Platform

9. Where do you work?
10. Which best describes your role?

Thank you for taking the survey.

Your answers have been recorded. We're collecting responses from legal and eDiscovery teams and will publish the aggregated findings soon.

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