Merger Agreement Understanding
Dataset (MAUD)
A dataset of merger agreements with rich expert annotations
Merger Agreement Understanding Dataset (MAUD) v1 is a corpus of 47,000+ labels in 152 merger agreements that have been manually labeled under the supervision of experienced lawyers to identify 92 questions in each agreement used by the 2021 American Bar Association (ABA) Public Target Deal Points Study.
MAUD is curated and maintained by The Atticus Project, Inc. to support NLP research and development in legal contract review.
Publication
Accepted at EMNLP 2023 — the 2023 Conference on Empirical Methods in Natural Language Processing.
Contributors
Attorney Advisors
Wei Chen
Ravi Mahesh
Gordon Moodie
Andy Nussbaum
Mike O'Bryan
Rita-Anne O'Neill
Anne Beth Stebbins
Patricia Vella
Daisy Beckner
Daniel Belke
Additional Volunteers
And many more dedicated volunteers who contributed to the annotation effort.
The use of MAUD, Atticus Labels and other information provided by The Atticus Project is subject to our privacy policy and disclaimer.