Start - 2018 | End 2024 Duration - 6 years
The objective of this Subproject is to analyze the contribution of algorithmic tools capable of predicting the probable outcome of a trial. The first step towards making them useful tools for practitioners is to understand the functioning of these tools in order to be able to account for their reliability.
![](http://ajcact.openum.ca/files/sites/160/2018/05/KevinDAshley.jpg)
Subproject chief
Kevin Ashley
Research activities
Case studies
The JusticeBot project (Procezeus). This chatbot project is originally aimed at non-attorneys. The researchers intend to develop a rule-tree for the domain, which would more naturally be aimed at attorneys.
This case study establishes a link Subprojects 1 and 2.
The Case summarization project. A machine learning algorithm will be trained to generate summaries based on a unique training package consisting of a set of full case reports and summaries prepared by expert humans.
Publications of researchers
- Hannes WESTERMANN, Vern R. WALKER, Kevin D. ASHLEY et Karim BENYEKHLEF. « Using Factors to Predict and Analyze Landlord Tenant Decisions to Increase Access to Justice », (2019) 10 pages https://doi.org/10.1145/3322640.3326732.
- Hannes WESTERMANN, Jaromír ŠAVELKA, Vern R. WALKER, Kevin D. ASHLEY et Karim BENYEKHLEF, "Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain", (2019) Proceedings of JURIX 2019 10 pages http://ebooks.iospress.nl/volumearticle/53660.
- Ayelet SELA et Limor GABAY-EGOZI. « Judicial Procedural Involvement (JPI) : A Metric for Judges’ Role in Litigation, Settlement and Access to Justice », (2020) 47(3) Journal of Law and Society 468.
- Julie BIRON, Nicolas VERMEYS, « L’encadrement des robots-conseillers en droit canadien », (2018) No. 77:1, R du B 41.
- Huihui XU, Kevin ASHLEY, « Argumentative segmentation enhancement for legal summarization », Proceedings Sixth Workshop on Automated Semantic Analysis of Information in Legal Text, 2023.
- Huihui XU, Kevin ASHLEY, « A Question-Answering Approach to Evaluating Legal Summaries », Legal Knowledge and Information Systems, 2023.
- Huihui XU, Kevin ASHLEY, « Multi-granularity Argument Mining in Legal Texts », In Legal Knowledge and Information Systems, 2022.
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Karim BENYEKHLEF et Jie ZHU, « Intelligence artificielle et justice: justice prédictive, conflits de basse intensité et données massives », (2018) 30 Les Cahiers de propriété intellectuelle 789-826.
- Juliano RABELO, Mi-Young KIM, Randy GOEBEL, Masaharu YOSHIOKA, Yoshinobu KANO et Ken SATOH, « COLIEE: Competition for Legal Information Extraction and Entailment », (2020) 35-3 Journal of Japanese Society of Artificial Intelligence 377.
Presentations
- Cassandra LAROCQUE-RIGNEY, Karl BRANTING, Kevin ASHLEY, Tom VAN ENGERS, "Web conference | AI'S Contribution to the Administration of Justice", virtual program of the Cyberjustice Laboratory, June 15, 2020.
Partners
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This content has been updated on 22 July 2024 at 12 h 07 min.