First-pass redlining in minutes, grounded in your playbook.

AI Contract Review

We ship contract-review copilots grounded in your playbook — issue-spotting, fallback proposals and negotiation history at every clause.

The problem

First-pass review is where associate and in-house hours vanish. Playbook adherence is inconsistent partner-to-partner.

Public LLMs are non-starters for confidential deal documents.

How T7 solves it

The copilot reads the incoming draft, compares each clause against your playbook and prior comparable deals, and produces a redline with proposed language and reasoning.

Every suggestion cites the playbook clause or precedent behind it. Nothing is ever accepted without a human in the loop.

Deployment is inside your tenancy with iManage / NetDocuments / SharePoint integration and matter-scoped retrieval.

The workflow

Step 1

Ingest

Draft lands in DMS or email; copilot classifies contract type and applies the right playbook + precedent library.

Step 2

Analyse & redline

Clause-by-clause comparison; risk-flagged, fallback-suggested, precedent-cited.

Step 3

Review & learn

Lawyer accepts/rejects; overrides feed back to the playbook so the copilot learns your firm's positions.

Outcomes we ship for

70%
Faster first-pass review
95%
Playbook consistency across partners
3x
Precedent recall vs. keyword search

The stack

Azure OpenAIClaudepgvectoriManage / NetDocumentsSharePointPlaywright

Frequently asked questions

Is data ever sent to public APIs?

No. Deployment runs entirely in your Azure/AWS tenancy with private networking.

Which contract types are supported?

MSAs, NDAs, DPAs, SaaS orders, employment, leasing, M&A ancillaries and custom firm-specific templates.

How do you build the playbook?

We import your existing playbook if you have one; otherwise we derive it from past deals with your lawyers' review.

Ready to Build Your AI Product?

Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.

  • · AI feasibility & architecture review
  • · Product / MVP roadmap
  • · Integration & automation strategy