Free assessment
Legal AI Readiness Assessment
Before you buy AI for your contracts, one question decides the outcome: can your data support it? Accuracy is set by the data underneath — the same class of models scores 91% on a clean benchmark and 17% on real enterprise data1, and poor contract data already erodes roughly 9% of revenue2. This free diagnostic tells you which side of that gap you're on — before anyone writes a check for AI.
Drop your email to start. Your answers save as you go, and we'll send a link so you can pick up exactly where you left off.
What you'll get back
- A scored readiness snapshot across every section
- A readiness report tailored to your perspective
- Concrete next steps to close your biggest gaps
Sources
- 1. In independent testing, the same class of AI models answered 91% of natural-language data questions correctly on a clean academic database — and 17–21% on real enterprise data. Lei et al., Spider 2.0 (ICLR) — The gap is a data-environment problem — schema-linking, dialect confusion, context overflow — not a model defect.
- 2. Poor contract data and management erodes roughly 9% of annual revenue — and up to 15% on large, complex portfolios. World Commerce & Contracting benchmark
Independent, peer-reviewed, and pre-registered sources are weighted above vendor-sponsored ones; vendor figures are labeled as claims. Figures current to mid-2026.