The contract review problem that scales poorly
A growing business signs dozens of contracts a month — vendor agreements, NDAs, employment contracts, SaaS subscriptions, lease agreements. Each needs someone to read it, identify key dates and obligations, and record them somewhere so they are not forgotten.
Legal and operations teams simply do not have the bandwidth to review every contract with the same rigour. Renewal dates are missed. Liability caps go unnoticed. Auto-renewal clauses trigger commitments nobody authorised.
DocPeel provides the first pass automatically: within seconds of uploading a contract, every material field is extracted and ready for review or direct import into a CLM system.
What DocPeel extracts from a contract
Party identification goes beyond just reading the signature block. DocPeel identifies each party's role (licensor, licensee, buyer, seller, employer, contractor) and notes their registered address and jurisdiction.
Dates are extracted and normalised — effective date, expiry date, renewal deadline, and any milestone dates embedded in payment schedules or delivery clauses.
Key clauses — confidentiality, IP ownership, indemnification, limitation of liability, termination, force majeure — are detected and their substance summarised alongside the original clause reference.
Scaling to high contract volumes
DocPeel is designed for volume. Batch-upload a folder of vendor contracts via the REST API and receive structured results for every contract, ranked by renewal date, total value, or flag conditions you define.
Results can be pushed to an Airtable base or Google Sheet for lightweight CLM workflows, delivered to a webhook for import into enterprise CLM platforms, or downloaded as CSV for one-off reviews.
Limitations and when to involve counsel
DocPeel extracts and structures what is written in the contract. It does not provide legal advice, assess whether terms are favourable or standard, or flag issues outside the document. Complex multi-contract arrangements, cross-references between agreements, and embedded schedules referenced by external documents require human review.
The extracted output is a starting point for review — it surfaces the material fields so lawyers and operations teams can focus their time on the substance of those fields, not on finding them.