Every NDA your firm signs contains structured data—governing law, non-solicitation terms, financing source restrictions, and expiry dates. After signing, that data sits in documents. Carta Law's NDA service changes both ends of the process: An AI-powered agent accelerates review, redlining, and negotiation to signature, while Document Intelligence turns each completed NDA into structured, queryable data. The more NDAs you run through Carta Law, the more valuable the record becomes.
Faster from first review to signature
Document Intelligence extracts and classifies every material clause when an NDA arrives—effective date, governing law, non-solicitation scope, financing source restrictions, and permitted purpose. The agent flags non-standard positions, surfaces recommended redlines against your playbook, prior agreements, and market standards, and manages correspondence through to execution. Your assigned Carta Law lawyer reviews the substantive decisions. Your Carta Law portal stores the full negotiation history—each document turn, correspondence, and timestamps.
Connect your data to the rest of your workflows
Carta Law stores your contracts data in a structured, secure repository. When model context protocol (MCP) support is available, you will be able to pull that data directly into the AI tools and workflows your team already uses—connecting your NDA intelligence to deal workflows, compliance monitoring, or any other process where contract data is relevant. Your documents stay within the Carta Law environment; the connection brings the data to where you need it, without manual export or re-entry.
Query your entire NDA history in natural language
Each client gets a portal pre-loaded with their document set, which updates with new documents in real time. Ask questions in natural language against your full structured dataset: "List all NDAs with non-solicitation clauses." "Which ten NDAs expire next?" "What's our average turnaround time?" Query across your entire history or drill into a single contract. GCs can add custom extraction fields for their firm's specific requirements—so the analytics layer adapts to how your team thinks about NDA risk.
