Please download the full version of the dataset from Zenodo, here.

Contract Understanding Atticus Dataset (CUAD) v1 is a corpus of more than 13,000 labels in 510 commercial legal contracts that have been manually labeled by The Atticus Project to identify 41 categories of important clauses that lawyers look for when reviewing contracts.

We tested CUAD v1 against ten pretrained AI models and published the results on arXiv here.

Code for replicating the results, together with the model trained on CUAD, is published on Github here.

Atticus Open Contract Dataset (AOK)(beta) is a corpus of 5,000+ labels in 200 commercial legal contracts that have been manually labeled by legal experts to identify 40 types of clauses that are important during contract review in connection with corporate transactions, such as mergers and acquisitions, IPO, and corporate financing. AOK Dataset is curated and maintained by The Atticus Project, Inc., a non-profit organization, to support NLP research and development in legal contract review. If you download this dataset, we'd love to know more about you and your project! Please fill out this short form: https://forms.gle/h47GUENTTbBqH39m7. Check out our website at atticusprojectai.org. Update: The expanded 1.0 version of the dataset is available here https://zenodo.org/record/4595826

ACORD: Atticus Clause Retrieval Dataset Atticus Clause Retrieval Dataset (ACORD) is the first retrieval benchmark for contract drafting fully annotated by experts. It includes 114 queries and over 126,662 query-clause pairs, each ranked on a scale from 1 to 5 stars. The task is to find the most relevant precedent clauses to a query. ACORD focuses on complex contract clauses such as Limitation of Liability, Indemnification, Change of Control, and Most Favored Nation. FORMAT ACORD consists of… See the full description on the dataset page: https://huggingface.co/datasets/theatticusproject/acord.

Dataset Card for CUAD

This is a modified version of original CUAD which trims the question to its label form.

  Dataset Summary

Contract Understanding Atticus Dataset (CUAD) v1 is a corpus of more than 13,000 labels in 510 commercial legal contracts that have been manually labeled to identify 41 categories of important clauses that lawyers look for when reviewing contracts in connection with corporate transactions. CUAD is curated and maintained by The Atticus Project, Inc.… See the full description on the dataset page: https://huggingface.co/datasets/chenghao/cuad_qa.

Contract Understanding Atticus Dataset (CUAD) is a dataset for legal contract review. CUAD was created with dozens of legal experts from The Atticus Project and consists of over 13,000 annotations. The task is to highlight salient portions of a contract that are important for a human to review.

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.

ReadMe and Datasheet are published here. Code for replicating the results, together with the model trained on CUAD, is published on Github here.