This guide breaks down how to use AI for IP litigation — the workflows, tools, and best practices that help teams control costs and get to the evidence that wins cases.

In this guide, you’ll learn:

- The three ways IP litigation is distinct from other commercial cases and how that increases pressure to be efficient

- The essential AI workflow for speeding up IP discovery, from shrinking the initial document universe to interrogating the responsive set

- Three core principles for effectively deploying AI: prioritizing efficiency, achieving speed to evidence, and treating AI as a team multiplier

- Specific AI applications and tools for each major IP practice area: patent, trademark, copyright, and trade secret litigation

- A breakdown of the AI capabilities litigators need, including agentic AI, generative review, and automated timeline building