Conversion of Legal Agreements into Smart Legal Contracts using NLP

Eason Chen, Niall Roche, Yuen Hsien Tseng, Walter Hernandez, Jiangbo Shangguan, Alastair Moore

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

A Smart Legal Contract (SLC) is a specialized digital agreement comprising natural language and computable components. The Accord Project provides an open-source SLC framework containing three main modules: Cicero, Concerto, and Ergo. Currently, we need lawyers, programmers, and clients to work together with great effort to create a usable SLC using the Accord Project. This paper proposes a pipeline to automate the SLC creation process with several Natural Language Processing (NLP) models to convert law contracts to the Accord Project's Concerto model. After evaluating the proposed pipeline, we discovered that our NER pipeline accurately detects CiceroMark from Accord Project template text with an accuracy of 0.8. Additionally, our Question Answering method can extract one-third of the Concerto variables from the template text. We also delve into some limitations and possible future research for the proposed pipeline. Finally, we describe a web interface enabling users to build SLCs. This interface leverages the proposed pipeline to convert text documents to Smart Legal Contracts by using NLP models.

原文英語
主出版物標題ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023
發行者Association for Computing Machinery, Inc
頁面1112-1118
頁數7
ISBN(電子)9781450394161
DOIs
出版狀態已發佈 - 2023 4月 30
事件2023 World Wide Web Conference, WWW 2023 - Austin, 美国
持續時間: 2023 4月 302023 5月 4

出版系列

名字ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023

會議

會議2023 World Wide Web Conference, WWW 2023
國家/地區美国
城市Austin
期間2023/04/302023/05/04

ASJC Scopus subject areas

  • 電腦網路與通信
  • 軟體

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