The Atticus Project

Open-Source Dataset of Legal Contracts for AI
About Us
The Atticus Project is a non-profit organization whose mission is to harness the power of AI to accelerate accurate and efficient contract review.

Contract Understanding Atticus Dataset

(CUAD) v1 is available for download.

A corpus of 13,000+ labels in 510 commercial legal contracts with rich expert annotations. The dataset has been manually labeled under the supervision of experienced lawyers to identify 41 types of legal clauses in commercial contracts that are considered important in contract review in connection with a corporate transaction, including mergers & acquisitions, corporate finance, investments, initial public offering, etc.

Download CUAD v1 here.  CUAD and Atticus Labels are licensed under CC BY 4.0.

Check out the code for replicating the results and the trained model here.

​What's New
  • Read the CUAD performance results and our observations here!
  • Register for the CUAD v1 Overview Session on March 19th here!
  • The application for the Atticus Summer Intern Program is now open! Apply here.​
  • We've launched the Atticus Open Data Fellow Programs! Apply for our Atticus Open Data Executive Fellow Program here, or our Student Fellow Program here.​​
  • Our monthly speaker series feature thought-leaders at the forefront of Legal and AI. Check out the list of speakers and topics here.​
  • Learn basic AI concepts here at Bytesized AI!
What We Do

The Atticus Project is a grassroots movement by experienced attorneys in leading in-house legal departments and law firms aiming to achieve accurate and efficient contract

review using AI.

How To Participate

We are on a path to change the legal industry forever by leveraging AI. Be a part of the Atticus movement. Check out how you can help here. Follow us on LinkedIn at or email us at

The Atticus White Paper

Openness and transportability are at the core of The Atticus Project. Please refer to this White Paper for more information on how we unite the legal and AI communities to get there.