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Legal Machine-Learning Analysis: First Steps towards A.I. Assisted Legal Research

Authors:

Wai Yin Mok,

Jonathan R. MokAuthors Info & Claims

ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law

Pages 266 - 267

https://doi.org/10.1145/3322640.3326737

Published: 17 June 2019 Publication History

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Abstract

This research project develops a methodology to utilize machine-learning analysis of live disputes to assist legal professionals in narrowing issues and comparing relevant precedents. Our first step is to extract and classify sentences in breach of contract court decisions according to type. Such court decisions have five basic sentence types: sentences on contract law, sentences on contract holding, sentences on contract issues, sentences on contract reasoning, and sentences on contract facts. The result of this project facilitates further downstream processing such as constructing decision trees that predict the likely outcome for the case at hand, displaying the rationales on which court decisions are based, and calculating the similarity of previous legal precedents.

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Castano SFerrara AFuriosi EMontanelli SPicascia SRiva DStefanetti C(2024)Enforcing legal information extraction through context-aware techniques: The ASKE approachComputer Law & Security Review10.1016/j.clsr.2023.10590352(105903)Online publication date: Apr-2024
https://doi.org/10.1016/j.clsr.2023.105903
Navarrete FGarrido ÁBobed CAtencia MVallecillo A(2024)Ontology-Driven Automated Reasoning About Property CrimesBusiness & Information Systems Engineering10.1007/s12599-024-00886-3Online publication date: 12-Aug-2024
https://doi.org/10.1007/s12599-024-00886-3
Showkat DBaumer E(2022)“It’s Like the Value System in the Loop”: Domain Experts’ Values Expectations for NLP AutomationProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533483(100-122)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3532106.3533483

Legal Machine-Learning Analysis: First Steps towards A.I. Assisted Legal Research
1. Applied computing
  1. Law, social and behavioral sciences
2. Computing methodologies

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ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law

June 2019

312 pages

ISBN:9781450367547

DOI:10.1145/3322640

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

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Association for Computing Machinery

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Published: 17 June 2019

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ICAIL '19: Seventeenth International Conference on Artificial Intelligence and Law

June 17 - 21, 2019

QC, Montreal, Canada

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Castano SFerrara AFuriosi EMontanelli SPicascia SRiva DStefanetti C(2024)Enforcing legal information extraction through context-aware techniques: The ASKE approachComputer Law & Security Review10.1016/j.clsr.2023.10590352(105903)Online publication date: Apr-2024
https://doi.org/10.1016/j.clsr.2023.105903
Navarrete FGarrido ÁBobed CAtencia MVallecillo A(2024)Ontology-Driven Automated Reasoning About Property CrimesBusiness & Information Systems Engineering10.1007/s12599-024-00886-3Online publication date: 12-Aug-2024
https://doi.org/10.1007/s12599-024-00886-3
Showkat DBaumer E(2022)“It’s Like the Value System in the Loop”: Domain Experts’ Values Expectations for NLP AutomationProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533483(100-122)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3532106.3533483
Sansone CSperlí G(2022)Legal Information Retrieval systemsInformation Systems10.1016/j.is.2021.101967106:COnline publication date: 12-May-2022
https://dl.acm.org/doi/10.1016/j.is.2021.101967

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Fundamental legal concepts: A formal and teleological characterisation*

Legal aspects of computing

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