Cited By
View all- Mentzingen HAntónio NBacao F(2023)Automation of Legal Precedents RetrievalInternational Journal of Intelligent Systems10.1155/2023/66609832023Online publication date: 1-Jan-2023
User-Friendly Open-Source Case-Based Legal Reasoning
Pages 270 - 271
Abstract
The access to justice crisis is one that cannot be effectively solved without the automation of legal services. The automation of legal services cannot be efficiently done without efficiently automating legal reasoning. Legal case-based reasoning (CBR) provides a method of obtaining explainable and strong predictions for legal issues that lawyers would typically predict on the basis of analogy to prior decided cases. Automating explainable predictions with regard to these sorts of legal issues is difficult without resort to CBR.
Wider adoption of CBR in the legal realm therefore has the potential to increase the scope of legal services that can be automated. Despite this potential, as of early 2018 there were no open-source or commercially-available tools for building legal case-based reasoning systems. This paper describes an open-source tool named docassemble-openlcbr[5] designed for ease of use by legal professionals in implementing CBR in the development of automated legal services.
References
[1]
Kevin D. Ashley. 2017. Artificial Intelligence and Legal Analytics. Cambridge University Press, Cambridge, UK.
[2]
Kevin D. Ashley and Stefanie Brüninghaus. 2009. Automatically classifying case texts and predicting outcomes. Artificial Intelligence and Law 17, 2 (2009), 125--65.
[3]
Matthias Grabmair. 2018. OpenLCBR. https://github.com/mgrabmair/openlcbr
[4]
Themis Solutions Inc. 2019. Clio. https://www.clio.com
[5]
Jason Morris. 2018. docassemble-openlcbr. https://github.com/Gauntlet173/docassemble-openlcbr
[6]
Jonathan Pyle. 2019. Docassemble. https://docassemble.org
Index Terms
- User-Friendly Open-Source Case-Based Legal Reasoning
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Published In
June 2019
312 pages
ISBN:9781450367547
DOI:10.1145/3322640
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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- Univ. of Montreal: University of Montreal
- AAAI
- IAAIL: Intl Asso for Artifical Intel & Law
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 June 2019
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- Demonstration
- Research
- Refereed limited
Conference
ICAIL '19
Sponsor:
ICAIL '19: Seventeenth International Conference on Artificial Intelligence and Law
June 17 - 21, 2019
QC, Montreal, Canada
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Overall Acceptance Rate 69 of 169 submissions, 41%
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View all- Mentzingen HAntónio NBacao F(2023)Automation of Legal Precedents RetrievalInternational Journal of Intelligent Systems10.1155/2023/66609832023Online publication date: 1-Jan-2023
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