Entexis Labs · live demo of an AI contract intelligence tool Want one for your team? →
Entexis Labs · Live Demo

AI Contract Intelligence.

Drop a contract — get a structured analysis in seconds. Summary, key terms, ranked risk flags with the exact clauses quoted, obligations per party, and the questions your lawyer would ask before signing. For confidential work, the same tool runs on your own infrastructure with self-hosted models — your contracts never leave.

This is a working prototype. Try it live below — and read on for how an AI contract assistant replaces hours of careful reading.

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Summary

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Parties

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Term

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Value

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Words

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Key terms

Risks

Obligations

Questions to ask before signing

    Ask anything specific

    What it does

    90 minutes of careful reading, in 15 seconds.

    A contract analyst that reads the document the way a sharp junior associate would — pulls out the type, the parties, the term, the money, the risks, the obligations — and tells you what your lawyer would ask. For privileged or confidential work, the same tool runs on your own infrastructure with self-hosted models so contracts never leave.

    Structured analysis card

    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.

    Risk flags that matter

    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.

    Ask anything specific

    "What is the notice period for termination?" "Is there a non-compete?" "What does the limitation of liability cap?" — each answer grounded in the contract you uploaded.

    Private by default

    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.

    Self-hosted, on your stack

    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.

    Built into your workflow

    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.

    How it works

    Drop. Read. Ask.

    No setup, no integration, no signup. 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.

    01

    Upload the contract

    PDF or Word, up to 10 MB. The AI reads the whole file in seconds — no formatting required.

    02

    Read the analysis

    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.

    03

    Ask anything specific

    Notice periods, liability caps, non-competes, audit rights, change-of-control — every answer is grounded in the contract you uploaded.

    04

    Decide

    Use the risks and questions as a checklist for your lawyer. Or, for confidential work, deploy the same tool privately on your own stack.

    Who uses it

    Built for teams
    that touch contracts daily.

    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 Case →
    In-house legal

    Triage incoming contracts, surface unusual clauses, draft questions for the business owner — without sending privileged content to a third-party.

    Procurement

    Compare vendor contracts against your standard playbook, flag deviations, and produce a structured digest for sign-off.

    Sales / Revenue ops

    Read inbound MSAs and order forms in seconds, auto-flag the redlines that matter, and route the deal to the right approver.

    Founders & finance

    Investor agreements, vendor contracts, employment letters — get a structured second opinion before signing.

    M&A & due diligence

    Mass-process a target's contract repository, surface change-of-control clauses, IP transfers, and break-fees — privately on your stack.

    HR & people ops

    Read employment contracts, NDAs, and consultant agreements; standardize them against your template and flag any drift.

    Frequently Asked Questions

    How accurate is the contract analysis?
    It's directionally accurate and useful for triage — the kind of analysis a sharp junior associate would write after reading the contract carefully. It is not legal advice. Treat it as a fast first read: it surfaces the structural risks (auto-renewal traps, uncapped liability, broad indemnity, unilateral termination) and saves you the 90 minutes of careful reading. A qualified lawyer should still review anything you intend to sign.
    Is my contract stored?
    No. The contract is held in memory only for an hour so you can keep asking follow-up questions, then dropped automatically. Nothing is written to disk and we don't log contract content. For confidential or privileged contracts, we ship a custom build that runs entirely on your stack with self-hosted models so your contracts never leave your environment.
    Can this run on a private LLM (Llama, Mistral)?
    Yes — that's the most common request from legal and procurement teams. The custom build runs on whichever model your team prefers: a self-hosted Llama 3.1 70B on your own GPUs, Mistral Large in your VPC, Azure OpenAI with zero-data-retention, or fully air-gapped models for the strictest environments. Contracts never leave your stack.
    What kinds of contracts work best?
    NDAs, MSAs, SOWs, vendor / supplier agreements, SaaS licenses, employment contracts, leases, partnership and shareholder agreements, settlement agreements. Anything with structured prose works. Hand-marked-up scans need OCR first; a custom build handles that and other deal-flow integrations.
    What file formats can I upload?
    PDF and Word (.docx) up to 10 MB. The PDF must contain real text (highlight-able, copy-able). Scanned PDFs that are just images need OCR first; a custom build handles OCR automatically.
    Can Entexis build a custom contract intelligence tool for our team?
    Yes. For an in-house legal team we wire it into your contract repository (DocuSign, Ironclad, NetDocuments, SharePoint, Box, custom CMS) so every signed contract is one click away from being analyzed. Each analysis writes to an audit log for compliance. We tune the rubric to your playbook and run it on your choice of model — including fully self-hosted for sensitive work. Typical first version ships in about three weeks; deeper integrations layer on after that.
    Will my contract content be used to train AI models?
    No. The public demo uses an enterprise-grade AI partner whose policy is that content sent through their interface is not used to train models. For a custom build, the most common deployment for legal teams is a self-hosted private model where the contract never leaves your environment — no third-party AI provider sees it.
    How is this different from Spellbook, LawGeex, or Kira?
    Those are products you license — your contracts go to their stack on their pricing terms. We build the production application end-to-end on your stack: ingestion, extraction, analysis, the playbook your team actually uses, the audit log your compliance team requires, and integration with your existing document repository and matter management tools. You own the code, control the data, and pick the model.
    Entexis Labs · Production-ready

    Want a contract intelligence tool like this for your business?

    We build the contract analysis your team actually needs — wired into your repository, tuned to your playbook, and running on your model of choice (including fully self-hosted for sensitive work). Typical first version ships in about three weeks.

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