Legal & Contracts
Non-Disclosure Agreement (NDA)
Extract parties, scope, duration and key terms from NDAs for fast triage and standardisation.
The Challenge
NDAs vary between one-way and mutual, with different definitions of confidential information, terms, carve-outs and jurisdictions. Deviations from the company's standard playbook must be spotted quickly across high volumes.
Industries
All industries; legal, sales, partnerships, M&A, procurement.
Who Uses It
Legal teams, contract managers, sales/BD, deal desks.
BASE Schema
Parties — Table
Mutual / one-way — Text
Effective date — Date
Confidentiality term — Text
Definition of confidential info — Text
Carve-outs — Text
Governing law — Text
Signature status — Enumeration (signed, unsigned, partially signed)
Recommended pipeline settings — Checkbox detection
OPTIONAL Validation
Deviation check vs. standard playbook; term/jurisdiction flagging; party and signature completeness; one-way vs. mutual classification.
Frequently ASked Questions
How can AI review NDAs faster?
It extracts parties, term, scope and governing law and compares them to your standard playbook, flagging deviations so legal triages in minutes.
Can document AI classify one-way vs. mutual NDAs?
Yes — the agreement type is classified and its key terms structured for routing and approval.
Why automate NDA processing?
It clears NDA backlogs that slow down deals, ensures consistent terms, and frees legal for higher-value work.
See more use cases.
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