Legal teams are grappling with a dangerous problem: AI’s capabilities often outpace its reliability at scale.

What a system can do in a controlled demonstration and what it does consistently, on your data, for your team, and under your circumstances, don’t always overlap very neatly. Worryingly, many legal AI users don’t yet know how to measure that gap.

In this e-book, you’ll find:

• Definitions of terms to give your team a shared, grounded vocabulary for choosing and testing fit-for-purpose legal AI
• Insights from litigators, legal ops leaders, data scientists, and more on what evaluation means, why it’s important, and who should own it
• The 5C Evaluation Framework for Legal AI, giving you a practical approach to choosing, testing, and continuously evaluating legal AI
• A list of questions to ask vendors while you’re exploring new tools