CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review

Dan Hendrycks, Collin Burns, Anya Chen, Spencer Ball

2021NeurIPS 2021 Datasets and Benchmarks

What it adds

Expert-supervised clause annotations across multiple commercial contract types.

EDGAR contracts skew toward public-company transactions; clause extraction does not assess legal advice or risk judgments.

Selected statements located in the linked primary sources. These results have not been independently reproduced here.

CUAD contains 510 contracts, 13,101 labelled clauses and 41 categories.
3 Dataset Statistics; annotation categories
DeBERTa-xlarge reports 44.0% precision at 80% recall and 17.8% at 90% recall.
4 Results

Cited by

Converts clause annotations to retrieval targets.

Cited by

Compares extraction with inference; tests CUAD-fine-tuned models.

Both investigate contract analysis; their annotation targets and evaluation settings differ.

Cited by

References CUAD among legal information-extraction research.

Both provide expert-annotated contract resources; MAUD focuses on interpreting deal points rather than primarily locating clauses.

Entry status, source edition & rights

Index entry: Source-linked summary, prepared with agent assistance. Independent scholarly review is pending.
Archive admission: This bibliographic entry does not confer admission to the versioned archive.
Edition inspected: 2103.06268v2
Reading coverage: Sections 2–5, Table 2, Appendix annotation workflow; author project and repository README.
Rights: External references only. Papers and research artifacts remain with their original hosts; their own terms apply.
Entry updated: 2026-10-15

Source-linked summary · independent assessment pending.