Subproject 2 - Pre-Conflict Decision Tools for Legal Practitioners

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.

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.
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.
Vu TRAN, Minh Le NGUYEN, Satoshi TOJO and Ken SATOH, « Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval », (2020) 28-4 Artificial Intelligence and Law 441, DOI: 10.1007/s10506-020-09262-4.

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

This content has been updated on 1 August 2024 at 12 h 01 min.