Legal AI for In-house Legal Teams

Streamline legal processes with AI-powered contract drafting, review, and legal assistance

Ask Genie to draft an NDA for our new In-house Legal hire...

Ask Genie to draft an NDA for our new In-house Legal hire...

Ask Genie to review this in-house legal agreement against our playbook...

Ask Genie to find the right template for our in-house legal team...

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New to GenieAI?

Scale your team without scaling your headcount

GenieAI handles the routine 80% so your in-house team focuses on the strategic 20%. Drafting, reviewing, and negotiating happens with playbook fidelity, every time.

  • Standardise your playbook across every contract
  • Auto-redline counterparty markup against approved positions
  • Org-wide knowledge graph - every prior decision retained
Try Genie free
  • ISO 27001 certified
  • GDPR compliant
  • Your documents stay in your tenant
  • Never used to train models

Security and data handling

Across industries

Why in-house legal teams choose Genie

Handle more contract volume without adding headcount, and keep the standard yours.

Accelerate SaaS Agreement Turnaround

Draft and negotiate subscription agreements in minutes, not days, keeping pace with your sales cycle.

Mitigate IP and Data Privacy Risks

Identify problematic clauses in vendor contracts before they expose your technology and customer data.

Scale Legal Support Without Headcount

Empower commercial teams to self-serve on standard contracts while maintaining legal oversight and control.

In-house legal teams already working this way

How a 50-person team handles the same volume with half the legal availability.

Industry
Market research
Team size
50–100 employees
Use case
Customer MSAs + DPAs
Result
50%+ faster legal review

Firefish

Market research agency Firefish cut contract review time by over 50% - handling the same volume with half the legal availability.

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

Questions from in-house legal teams

What general counsel and legal ops ask before rolling Genie out.

How can an in-house legal team handle more work without growing headcount?

By moving routine work out of the queue without giving up control of it. Legal sets its standard positions once as a playbook, and Genie applies them to incoming contracts, so the business gets an answer on anything already inside those standards and legal only sees what genuinely needs a decision.

Firefish, a market research agency of 50 to 100 people, now handles the same contract volume with half the legal availability, after cutting review time by more than 50%.

How do in-house legal teams use AI for contract review?

The usual pattern is triage rather than replacement. Genie reads an incoming contract against your playbook, marks where the counterparty has departed from the positions you accept, and drafts the redline. Your lawyer opens a marked-up document rather than a blank one.

That applies to the documents in-house teams see most: NDAs, MSAs, order forms, DPAs and supplier agreements, with current-law accuracy across more than 150 jurisdictions.

Can we enforce our own contract positions rather than generic standards?

Yes, and that is the intended design. The playbook is yours: your preferred positions, your fallbacks, and the points you will not concede. Genie applies it rather than substituting a generic standard.

That is the difference between a generic risk review and a review reflecting how your organization actually contracts.

How does Genie handle NDAs at volume?

NDAs are the clearest case for self-service. Once your NDA positions sit in the playbook, the business can issue and review standard NDAs without routing each one to legal, and anything falling outside those positions is flagged back to you.

HoSt Group gives 25 commercial seats to its sales and commercial teams on exactly this basis and reports 80% faster reviews.

What stops the business signing something legal has not approved?

The playbook does. Genie checks an incoming contract against your positions and flags the specific clause that breaches one, so a deviation surfaces before signature rather than after.

Escalation is the feature rather than the failure. It is how legal stays in control of the standard while everything inside the standard keeps moving.

Is our contract data used to train AI models?

No. Documents you generate or upload stay in your tenant, are not used to train models, and confidential material is not shared with third-party LLMs.

GenieAI is ISO 27001 certified and operates under GDPR.

What should an in-house team look for when choosing a legal AI tool?

Three questions separate the options quickly. Does it review against your standards or someone else's? Does it work in the tool your team already drafts in? And what happens to your documents afterwards?

Our answers: the playbook is yours and legal owns it, Genie works directly inside Microsoft Word, and your documents stay in your tenant and never train models. Ask any vendor the same three and compare the answers.

Does Genie work inside Microsoft Word?

Yes. Genie works directly in Microsoft Word, so you review and redline in the document your counterparty actually sent, rather than moving it into another system and breaking your review trail.

DocuSign and Adobe Sign integrations are in development.

Ready to handle more without more headcount?

Set your positions once and let the business execute inside them, with every departure flagged back to you.

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