AI Integration · Legal & procurement

Know what you're signing,
before you sign it.

Drop a PDF or Word contract and get a structured analysis in seconds: plain-English summary, key terms, ranked risk flags with the exact clauses quoted, obligations, and the questions to ask before signing. Same shape scales into a private, self-hosted build so confidential contracts never leave your infrastructure.

See the live demo Build one for your team
AI Contract Intelligence

Drop a contract, get a structured analysis in seconds.

,

Summary

,

Parties

,

Term

,

Value

,

Words

,

Key terms

Risks

Obligations

Questions to ask before signing

    Ask anything specific

    The Impact

    What AI-integrated contract
    review unlocks for your team.

    Tell us your contract stack

    Triage time per contract: 90 mins → 15 sec

    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

    Contracts in any major language. Mixed-language deals (English MSA with a Spanish addendum) handled cleanly.

    Private LLM options, up to air-gapped

    Self-hosted open-weights models on your GPUs, enterprise AI under zero-retention, or fully air-gapped deployments. 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.

    How we build it

    4 steps from a contract PDF
    to a ranked risk read.

    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.

    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.

    Try the analyzer
    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 framework with a self-hosted model.

    Inside this build

    The integration layer that makes AI usable on real contracts.
    The same building blocks power 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 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 framework

    For confidential work the same tool runs on your VPC or on-premise with a self-hosted open-weights model or your existing enterprise AI account. 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.

    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 framework 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 framework.

    HR & people ops

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

    Frequently Asked Questions

    Is this a product we can subscribe to?
    No. What you see here is a live demo of an AI contract layer. A production build is delivered as software you own, running on your infrastructure, wired to your actual contract repository, and tuned to your team's playbook. No monthly seat fees, no vendor holding your contracts.
    Does it work outside English?
    Yes. English variants (US, UK, Indian), Hindi, Spanish, French, German, Portuguese, Arabic, Mandarin, and most major European and Asian languages all work. Summary, risks, obligations, and follow-ups come back in the contract's language. Mixed-language deals (English MSA with a Spanish addendum, English NDA with a Hindi side letter) are handled natively.
    How reliable is the analysis?
    Directional. Not legal advice. Treat it as a sharp first read that surfaces the structural risks (auto-renewal traps, uncapped liability, one-sided indemnity, unilateral termination) and saves the 90 minutes of careful reading before a lawyer takes over. A qualified lawyer should still sign off on anything you intend to execute.
    Where does the contract go?
    For the demo: contract text + extracted analysis sit in server memory for 1 hour so follow-up questions work, then drop automatically. Nothing lands on disk, nothing lands in a DB. For production, contracts stay entirely inside your infrastructure: your S3 bucket, your Postgres, your document repository, whatever you already run.
    Can it run on a self-hosted model?
    Yes. Most common ask from legal teams. The production build runs on whichever model your compliance bar requires: a self-hosted open-weights model on your own GPUs, an enterprise API under zero-retention, or fully air-gapped weights for the strictest deployments. Contracts never cross a vendor boundary.
    Which contract types benefit most?
    NDAs, MSAs, SOWs, vendor agreements, SaaS licenses, employment contracts, leases, partnership and shareholder agreements, settlement agreements. Any structured prose. Marked-up scans need OCR first; production builds add that plus signature-block extraction and clause-versus-playbook diffing.
    Which formats work?
    PDF and DOCX up to 10 MB. The PDF must have real selectable text (not a scan). Scanned PDFs need OCR; production builds add OCR + table extraction so image-heavy contracts get analyzed automatically.
    What does a real contract-AI integration look like?
    Wired to your contract repository (DocuSign CLM, Ironclad, NetDocuments, SharePoint, Box, custom CMS). Any signed contract is one click from being analyzed against your playbook. Every analysis writes to an audit log for compliance. Recurring auto-renewal watch runs on a schedule and posts to Slack when a renewal window opens.
    How long until it goes live?
    A first working slice, tuned to your top-3 contract types and one repository, typically goes live once scope is agreed. Playbook tuning, deeper OCR, per-team scoping, audit-log integration, and additional repositories layer on after that once you have proof from real contracts.
    How is this different from Spellbook, LawGeex, or Kira?
    Those are hosted products: your contracts sit on their infrastructure on their pricing. We build the production application end-to-end on your framework: ingestion, extraction, analysis, playbook rules, audit logs, and repository integration. You own the code, control the data, and pick the model. Fits the strictest legal-data-handling policies without a vendor exception.
    Can Entexis build this for us?
    Yes. This is what we do. Hire us on Upwork and we will scope your top contract types, wire the analyzer into your contract repository, pick the right model + hosting for your compliance bar (including fully self-hosted open-weights models for privileged contracts), and get a working first slice live once scope is agreed. You own the code, the model runs where you choose, and your contracts stay on your infrastructure. Look for us at upwork.com/agencies/entexis.
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    AI-Integrated Contract Review · Production-ready

    Custom contract AI, wired
    into your framework.

    The demo above is one shape. We also build repository-wide risk sweeps, auto-renewal watchers with Slack alerts, playbook-diff engines that redline drafts against your standards, and on-prem contract review that never touches a vendor. First working slice quickly, with contracts staying entirely on your infrastructure.

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