NAACL 2021industry4 citations
Development of an Enterprise-Grade Contract Understanding System
Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Danilevsky, Diman Ghazi, Ankush Gupta, Shanmukha Guttula, Yannis Katsis
Abstract
Contracts are arguably the most important type of business documents. Despite their significance in business, legal contract review largely remains an arduous, expensive and manual process. In this paper, we describe TECUS: a commercial system designed and deployed for contract understanding and used by a wide range of enterprise users for the past few years. We reflect on the challenges and design decisions when building TECUS. We also summarize the data science life cycle of TECUS and share lessons learned.
BibTeX
@inproceedings{agarwal-etal-2021-development,
title = "Development of an Enterprise-Grade Contract Understanding System",
author = "Agarwal, Arvind and
Chiticariu, Laura and
Chozhiyath Raman, Poornima and
Danilevsky, Marina and
Ghazi, Diman and
Gupta, Ankush and
Guttula, Shanmukha and
Katsis, Yannis and
Krishnamurthy, Rajasekar and
Li, Yunyao and
Mudgal, Shubham and
Munigala, Vitobha and
Phan, Nicholas and
Sonawane, Dhaval and
Srinivasan, Sneha and
Thitte, Sudarshan R. and
Vasa, Mitesh and
Venkatachalam, Ramiya and
Yaski, Vinitha and
Zhu, Huaiyu",
editor = "Kim, Young-bum and
Li, Yunyao and
Rambow, Owen",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.naacl-industry.28/",
doi = "10.18653/v1/2021.naacl-industry.28",
pages = "222--229"
}