Legal AI for enterprise
Govern contracting across thousands of agreements with accurate, consistent risk control, one system for every legal team, and no extra headcount
Ask Genie to draft a customer agreement for our enterprise workflow...
Ask Genie to draft a customer agreement for our enterprise workflow...
Ask Genie to review this counterparty MSA against our enterprise playbook...
Ask Genie to find the right template for our enterprise workflow...
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Enterprise legal AI, deployed across every team
GenieAI is the legal agent trusted by 200,000+ business teams to run contracting across the whole org. Genie drafts, reviews, and negotiates every agreement in an enterprise portfolio (MSAs, DPAs, procurement, employment) with current-law accuracy across 150+ jurisdictions, so risk stays controlled and commercial teams can move fast with confidence.
Set your playbook once and Genie enforces it across every contract and counterparty, flagging risk red, amber, or green against your own policy. That consistency is where enterprise legal AI earns its keep, with accurate risk-spotting on every deal, not just the first one. Genie's legal model benchmarks 140% more accurate than ChatGPT, and delivers track-changes redlines ready to sign.
The software is built for how large organizations actually operate. Genie deploys with SAML SSO, a full audit trail, and tenant-isolated data, so access, security, privacy, and compliance hold across every team touching contracts. Legal, commercial, sales, and operations work from one system, with analytics and reporting into where deals slow down, which clauses recur, and how each task moves from request to signature. Support scales with you as contract volume grows, and Genie handles complex, non-standard deals in B2B SaaS, tech services, IT consultancies, and project-based sectors like property, energy, construction, and infrastructure.
Getting started is quick. Genie trains on your templates and past agreements, so your legal team spends less time on repetitive review and more on the deals that need judgment. See how the capability transforms contract turnaround as your org scales through 2026 and beyond.
- Auto-draft MSAs, DPAs, and enterprise procurement agreements
- Enforce playbook fidelity across thousands of contracts and counterparties
- Tenant-isolated by default, with ISO 27001, SAML SSO, and a full audit trail
What you can do
Use cases for Enterprise
Each of these is a workflow Genie handles end-to-end. Click any use case to see how it works.
How we compare
How does GenieAI compare to ChatGPT?
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Common questions
Enterprise FAQs
How do we keep contract positions consistent when every business unit negotiates its own deals?
By setting the positions once as a playbook and reviewing every incoming contract against it, rather than relying on each team to remember them. Legal defines what is acceptable, what is a permitted fallback, and what must escalate.
Consistency is a risk control rather than an administrative preference. Once a hundred agreements carry a hundred slightly different liability caps, nobody can answer a simple question about total exposure without reading all of them.
Can commercial teams run their own contracts without legal losing control?
Yes, and that is the intended design. Agreements that sit inside the agreed positions proceed without joining a legal queue, and anything outside them is flagged and routed to legal rather than quietly accepted.
The control is the playbook rather than the queue. Legal keeps authorship of the standards while giving up the bottleneck.
What should be in place before rolling out AI contract review across an enterprise?
A documented playbook, a clear escalation path, and an agreed position on what may be approved without a human reading it. GenieAI is ISO 27001 certified, documents stay in your tenant, and they are not used to train models.
The governance questions are usually harder than the technical ones. The decision that matters is which positions the business will accept automatically.
How do we handle a counterparty that insists on using their own paper?
Review it against your playbook rather than against a blank page. Incoming paper is marked up to your agreed positions, with every clause that falls outside them flagged, so the negotiation starts from your standards even on someone else's document.
Most contract risk arrives on counterparty paper, which is exactly where a manual review is least consistent.
How do we review terms consistently across hundreds of suppliers?
Your buying standards become the playbook, and every incoming supplier agreement or vendor agreement is reviewed against it, so the terms you accept differ only where you decided they should.
At that scale the exposure is rarely one bad contract. It is the same weak clause repeated across a category without anyone noticing.
How does GenieAI deploy across an enterprise?
GenieAI deploys via SSO, SCIM provisioning, and tenant-isolated infrastructure. Documents and metadata never leave your tenant. Enterprise customers run with dedicated infrastructure where regulation requires.
Does GenieAI support enterprise governance and audit?
Yes. Role-based access control, approval workflows, immutable audit logs, and integration with enterprise systems (Salesforce, Workday, ServiceNow). Every contract action is traceable for audit.
What security and compliance commitments does GenieAI hold?
GenieAI is ISO 27001 certified and operates under GDPR.
Customer documents never train models and are not shared with third-party LLMs. Security questionnaires are pre-completed and available on request.
Trusted by 200,000+ users
Drafts, reviews, and negotiates contracts autonomously.
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