Most law firms have plenty of institutional knowledge. It just doesn't live anywhere an AI tool can reach it. Expertise sits scattered across matter files, email threads, and the heads of your most experienced attorneys, disconnected from the systems meant to put it to work.

That disconnect is why so many legal AI deployments stall. The tools aren't the problem. The foundation underneath them was never built to connect information across a firm in real time. This guide introduces the Legal Context Graph, the first of its kind for legal teams, and explains what changes once your firm's knowledge is actually connected rather than just stored.

Whether you're evaluating AI tools now or already using them, this guide will help you assess where the gaps in your firm's foundation might be limiting the results you're getting.

What's inside:

• What a Legal Context Graph is and how it differs from a standard document repository

• What changes once institutional knowledge is connected in real time

• Concrete examples across practice areas showing the graph in action

• A 10-question checklist to identify where gaps may be affecting your AI outcomes

• What to look for as AI models and tools continue to evolve

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