Upload the contract
PDF or Word, up to 10 MB, in any major language. The AI reads the whole file in seconds. No formatting required.
Entexis builds custom AI contract intelligence tuned to how your team reviews: playbook-tuned, wired into your contract repository, and for confidential work running on self-hosted private models so contracts never leave your environment. Multilingual out of the box. The tool below is a working example: drop a PDF or Word contract, get a structured analysis.
Summary
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Ranked risks, key terms, obligations, and the questions to ask: produced in seconds instead of an hour and a half of careful reading.
Multilingual out of the box (English, Hindi, Spanish, French and more). Contracts in any major language. Mixed-language deals (English MSA with a Spanish addendum) handled cleanly. Analyses come back in the contract's language.
Self-hosted Llama 3.1 / Mistral on your GPUs, Azure OpenAI ZDR, or fully air-gapped models. Contracts never leave your environment.
Every analysis links to the exact clauses cited and writes to an immutable log: built for compliance teams from day one.
Every piece below was built end-to-end by the Entexis team. The same components (ingestion, structured extraction, risk ranking, obligation extraction, follow-up Q&A, audit logs) get re-tuned and re-shaped for your team's playbook and contract types.
Summary, key terms extracted into a table, risks ranked HIGH / MEDIUM / LOW with the exact clause quoted, obligations per party with deadlines, and the sharp questions to ask before signing.
Auto-renewal traps, uncapped liability, broad indemnity, unilateral termination, IP assigned to the vendor, mandatory arbitration, hidden audit rights: the structural risks a careful read catches.
"What is the notice period for termination?" "Is there a non-compete?" "What does the limitation of liability cap?" Each answer is grounded in the contract you uploaded.
The contract is held in memory for an hour so you can ask follow-ups, then dropped. Nothing written to disk; nothing logged. Custom builds support self-hosted models and zero data retention for sensitive work.
For confidential work the same tool runs on your VPC or on-premise: Llama 3.1, Mistral, or your existing Azure OpenAI. Contracts never touch a third-party AI provider.
For a real deployment we wire it into your contract repository (DocuSign, Ironclad, NetDocuments, SharePoint, Box) so every signed contract gets analyzed automatically, with an audit log for compliance.
Same tool, tuned to each team's playbook and wired into the document store they already use. We deploy on your stack with self-hosted models when contract content can't leave your environment.
Talk about your use caseTriage incoming contracts, surface unusual clauses, draft questions for the business owner, without sending privileged content to a third-party.
Compare vendor contracts against your standard playbook, flag deviations, and produce a structured digest for sign-off.
Read inbound MSAs and order forms in seconds, auto-flag the redlines that matter, and route the deal to the right approver.
Investor agreements, vendor contracts, employment letters: get a structured second opinion before signing.
Mass-process a target's contract repository, surface change-of-control clauses, IP transfers, and break-fees, privately on your stack.
Read employment contracts, NDAs, and consultant agreements; standardize them against your template and flag any drift.
No setup, no integration, no signup for the public demo. Drop a contract, the AI returns a structured analysis card in seconds, and you can ask follow-up questions for as long as you like, same pattern that runs in production for in-house legal and procurement teams.
PDF or Word, up to 10 MB, in any major language. The AI reads the whole file in seconds. No formatting required.
Summary, key terms in a table, risks ranked by severity with the exact clauses quoted, obligations per party, and the questions to ask before signing.
Notice periods, liability caps, non-competes, audit rights, change-of-control: every answer is grounded in the contract you uploaded.
Use the risks and questions as a checklist for your lawyer. Or, for confidential work, deploy the same tool privately on your own stack with a self-hosted model.
The example above is one shape: drop a contract, get a structured analysis. We also build playbook-tuned vendor-contract reviewers, M&A due-diligence scanners, NDA triage bots, and bespoke contract AI over your private repositories. Your model, your storage, your auth, your audit log. Typical first version goes live in about three weeks.
We'll reply within one business day to talk about a custom AI contract intelligence tool tuned to your team.