Overview
Dioptra is an AI contract review and redlining tool for legal teams. It redlines contracts in Microsoft Word based on playbooks, standard forms, past agreements, example redlines, or prompts.
The product is aimed at solo general counsel, legal teams, and organizations that review repeat contract types and want faster issue lists, risk summaries, term search, and redline generation.
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Key Features
- AI redline generation - Generates redlines in Microsoft Word.
- Playbook-based review - Uses custom or out-of-the-box playbooks.
- Past agreement learning - Can redline from executed agreements and standard forms.
- Term search - Searches and extracts terms from executed contracts.
- Issues lists and summaries - Produces risk summaries for review workflows.
- No training on your data - Dioptra states this on its pricing page.
Pricing & Plans
Dioptra publishes plan pricing.
| Plan | Price | Best fit |
|---|---|---|
| Starter | $450/month or $4,320/year | Solo GCs and solo practitioners |
| Teams | From $4,200/year per seat | Legal teams needing onboarding and team libraries |
| Enterprise | Custom | Larger organizations needing SSO, services, and dashboards |
Check the current pricing page for trial terms, billing, onboarding, and feature availability.
Best For
Dioptra is best for legal teams that regularly redline contracts and want AI assistance inside Word.
FAQ
What is Dioptra?
Dioptra is an AI contract review and redlining tool for Microsoft Word workflows.
How much does Dioptra cost?
Starter is listed at $450 per month or $4,320 per year billed annually.
Does Dioptra offer a trial?
The pricing page lists a 7-day free trial for Starter.
Can Dioptra replace legal review?
No. It assists with redlines and summaries, but lawyers should review legal outcomes.
Who should use Dioptra?
Dioptra is best for users who need the workflow described in this review and want to compare it against adjacent AI tools before adopting it.
Does Dioptra replace human review?
No. It can speed up the workflow, but important outputs should still be checked for accuracy, quality, and fit before production use.
