Legal AI for law firms

For the firms that draft, review, and advise on contracts every day

Ask Genie to draft a customer agreement for our law firm workflow...

Ask Genie to draft a customer agreement for our law firm workflow...

Ask Genie to review this counterparty MSA against our law firm playbook...

Ask Genie to find the right template for our law firm workflow...

Trusted by 200,000+ Professionals

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Serve more clients in less billable time

GenieAI is the AI legal assistant trusted by 200,000+ business teams. We draft, review, and negotiate every legal-services artefact - engagement letters, client agreements, deliverables, redlines - with current-law accuracy across 150+ jurisdictions.

  • First drafts, redlines, and comparisons in minutes
  • Client-specific playbook fidelity built in
  • 500+ legal-services templates across 150+ jurisdictions, free to use
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How we compare

How does GenieAI compare to ChatGPT?

GenieAI
Claude
ChatGPT
Conversational interface
Can upload docs & PDFs
Review against your playbook rules
Edit and negotiate in tracked changes
Collaborative legal editor for teams
Compare against a proprietary legal dataset
Manage complex deals with Eidetic Intelligence
Develop an org-wide legal brain
Save templates, playbooks, insights

Common questions

Law Firm FAQs

Can a firm use AI to draft client documents?

Yes, and many do, but the professional obligations stay with the firm. The output is a draft to be reviewed rather than advice, and the firm remains responsible for what it sends.

GenieAI is ISO 27001 certified, client documents stay in your tenant, and they are not used to train models or shared with third-party model providers. That is usually the first question a risk partner asks.

Should our engagement letter address the use of AI?

Many firms now address it expressly, recording that technology is used in delivering the services while responsibility for the advice remains with the firm. The engagement letter is the natural place for it.

Clients increasingly raise it during panel reviews, so a settled position is more useful than answering the question differently each time.

How is client confidentiality protected?

Documents stay in your tenant, are not used to train models, and are not shared with third-party model providers. Access can be restricted so a matter is visible only to the team working on it.

Confidentiality is a structural question rather than a policy one. What matters is where the document goes, not what the terms of service promise about it.

Can we work from our own precedents rather than generic templates?

Yes. Your house style and precedent bank become the source, so drafts return in the firm's own form rather than a generic one.

For a firm the precedent bank is the asset. A tool that ignores it produces work that has to be rewritten before it can be sent, which removes the point of using it.

How can a smaller firm match the turnaround of a larger one?

By removing the work that scales with volume rather than with judgement: first drafts, first-pass review of counterparty paper, and comparing terms across a set of documents.

That is where the gap with a larger firm comes from. It is capacity on routine work rather than better judgement on the difficult questions.

How do law firms use GenieAI?

Law firms use GenieAI to accelerate first drafts, review counterparty paper at scale, compare deal terms across clients, run DD on data rooms, and maintain firm-wide playbook fidelity.

Is GenieAI compatible with professional-conduct rules?

Yes. GenieAI is configured for use in regulated legal practice - including AI-use disclosure clauses, confidentiality controls, and conflict-screening integration where required.

How does GenieAI protect client confidentiality?

Client documents never leave your tenant, are not used to train models, and are subject to ISO 27001 commitments. Firms can configure per-matter access controls for ring-fenced engagements.

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