Paxton AI vs Screens: Which is Better in 2026?
We've compared 2 tools across pricing, features, ratings, and reviews to help you make an informed decision. No paid placements — just facts.
Compare different tools →| Feature |  Paxton AI Legal & Compliance |  Screens Legal & Compliance |
|---|---|---|
| Rating | No reviews yet | No reviews yet |
| Pricing |
as of Sep 8, 2026 |
as of Sep 24, 2026 |
| Pricing Model | Free Trial | Freemium |
| Free Plan | ||
| Free Trial | 7 days | |
| API Available | ||
| Verified | ||
| Founded | 2023 | — |
| HQ | Portland, Oregon, United States | — |
| Team Size | Solo, Small Business, Enterprise | Small Business, Enterprise |
| Platforms | — | — |
| Top Integrations | — | Microsoft WordSSO |
| Key Features |
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| Description | Paxton AI is an AI legal assistant built for lawyers and legal teams to conduct legal research, draft documents, and analyze files using plain-English prompts across U.S. federal and 50-state case law and regulations. It's aimed at solo practitioners, small firms, and enterprise legal departments across practice areas like personal injury, employment, family, criminal, and corporate law. Its main differentiator is a legal-specific, closed and secure model (SOC 2, ISO, and HIPAA compliant) with citation verification and a Confidence Indicator, offered at a lower price point than traditional research platforms like Westlaw and LexisNexis. | Screens (now Agiloft Astra) is an AI platform for reviewing, redlining, and analyzing contracts before and after signature, built for legal, procurement, finance, and sales teams that need to move faster without adding headcount. It works directly inside Microsoft Word and applies reusable playbooks and expert-built 'Screens' so every reviewer evaluates agreements against the same standards. Its defining differentiator is combining expert-crafted community standards with a natural-language assistant that answers questions across your whole contract portfolio, plus a Clean Data Promise that your contracts are never used to train AI models. |