Firms have invested heavily in legal AI, yet on deals the results have been thin. The model isn’t the problem. AI works on documents, while a deal lives in the transaction: the parties, conditions, signatures and status that tell you what’s done and what’s still open.
Our whitepaper, Transaction infrastructure for humans and AI, shows what needs to sit beneath your AI to close that gap, and how to test whether your platform has it.
What you’ll get
- The five-property test for whether a platform is genuinely AI-ready
- A four-layer model of the legal AI stack, so you know where to invest and where to stay flexible
- A plain-English guide to MCP, the open standard connecting AI agents to real transaction work
- The governance case for building controls into the architecture instead of relying on policy
- Proof that this is already in production, not on a roadmap
Who it’s for: innovation leads, practice heads, CIOs and risk teams weighing their next AI decision.
Before you commit to your next AI tool, it’s worth knowing what it will be reading from. Download the paper and use the five-property test on your own stack.
CTA button: Download the whitepaper
