Entexis builds custom AI contract intelligence · this is one example we built, for legal, procurement & M&A teams Want a custom contract AI for your team? →
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Custom AI Contract Intelligence · Live Working Example

Want a custom AI
contract intelligence tool?
Here's one we built.

Entexis builds custom AI contract intelligence tailored to how your team actually 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 (English, Hindi, Spanish, French & more). Works on contracts in any major language. The tool below is a working example: drop a PDF or Word contract, get a structured analysis in seconds. Try it. Then tell us what we should build for you.

This is a working showcase, not a SaaS product. The pipeline is real. We built it as an end-to-end example of what we ship to in-house legal, procurement, and M&A teams. Drop any contract; nothing is written to disk.

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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

    The Impact

    What custom AI contract intelligence delivers.

    Typical outcomes when in-house legal, procurement, or M&A teams hire Entexis to build a custom contract intelligence tool, drawn from real engagements. Numbers shift per use case, but the shape of the impact stays the same.

    90 mins → 15 sec
    Triage time per contract
    Ranked risks, key terms, obligations, and the questions to ask: produced in seconds instead of an hour and a half of careful reading.
    10+ languages
    Multilingual out of the box (English, Hindi, Spanish, French & more)
    Contracts in any major language. Mixed-language deals (English MSA with a Spanish addendum) handled cleanly.
    Air-gapped
    Private LLM options
    Self-hosted Llama 3.1 / Mistral on your GPUs, Azure OpenAI ZDR, or fully air-gapped models. Contracts never leave your environment.
    Audit-ready
    Citations & immutable logs
    Every analysis links to the exact clauses cited and writes to an immutable log: built for compliance teams from day one.
    ~3 weeks
    From kickoff to live
    Basic version tuned to your playbook ships in about three weeks. Then we layer on repository integrations, OCR for scans, and approval workflows.
    How this contract AI works

    Drop a contract, read the risks,
    ask anything specific.

    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 ships into production for in-house legal and procurement teams.

    01

    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.

    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 with a self-hosted model.

    Inside this build

    What we built for this contract demo.
    Same building blocks for yours.

    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.

    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 is 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.

    Multilingual (English, Hindi, Spanish, French & more)

    Contracts in any major language: Hindi, Spanish, French, German, Arabic, Mandarin, Portuguese. Mixed-language deals work too. Analyses come back in the contract's language.

    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

    Is this AI contract intelligence a product I can buy off the shelf?
    No. This demo isn't a product we sell. Entexis is a custom SaaS, software, and AI development company. We build tailored contract intelligence for each client: end-to-end, on your stack, wired into your contract repository, and tuned to your team's playbook (with self-hosted private LLMs when contract content can't leave the building). The working example above is one shape of what a custom build looks like; we'll build something tailored to how your legal, procurement, or M&A team actually reads contracts.
    Does the contract AI work for non-English contracts?
    Yes. Fully multilingual out of the box. Contracts in English, Hindi, Spanish, French, German, Portuguese, Arabic, Mandarin and most major European and Asian languages produce equally sharp analyses. The summary, ranked risks, obligations, and follow-up answers come back in the contract's language. Mixed-language deals (an English MSA with a Spanish addendum, an English NDA with a Hindi side letter) are handled cleanly: the AI extracts and reasons across all of it.
    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.
    Custom AI Contract Intelligence · Production-ready

    Tell us how your team reads contracts.
    We'll build the AI for it.

    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 ships in about three weeks.

    12+
    Years
    5
    Continents
    2,100+
    Engagements

    Built end-to-end by Entexis. Reply within one business day.

    Thanks. Got it.

    We'll reply within one business day to talk about a custom AI contract intelligence tool tuned to your team.