JusticeBot

Simplifying access to Legal Information using Artificial Intelligence

JusticeBot is a computer software tool using Artificial Intelligence (AI) to provide a gateway to law and jurisprudence for the public. The Cyberjustice Laboratory is developing a tool for tenants and landlords looking to terminate a lease in Québec jurisdiction. The software tool first asks the individual questions to analyze the factual situation and, based on the analyzed input, calculates which legal rules are likely to be applied. It also gives an indication of the result of previous similar cases as decided by the Régie du logement du Québec, the tribunal responsible for landlord-tenant disputes in Québec.

WHY

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Improve access to Justice

The Régie du Logement handles thousands of cases annually. Many of the parties have difficulty understanding the process and outcome. The JusticeBot project aims to develop a model to compare facts gathered from a user to facts in previous cases in order to calculate a probability of outcome of the case and give this information to the user. This will give people an easy way to obtain legal information in the field of landlord-tenant disputes.

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Participate in fundamental research

The methodology, skills and best-practices developed in the JusticeBot project are intended to be applicable in the future not only to landlord-tenant disputes, but also to other areas of law, thereby improving the general public access to law and justice.

HOW

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Creation of a Rule Tree

The logical representation of the rules pertaining to landlord-tenant disputes, used to categorise and analyze court cases.

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Annotation

The manual annotation of cases of the Régie du logement, creating data to help the AI understand the cases.

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Artificial Intelligence

Classification of the functions, legal rules and facts contained in the sentences of a written judgment by the Régie du Logement. Creation of a model of correlation between facts and the rendered decision of the Régie.

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User Interface Design

Creation of a User Interface able to ask users for details about their facts in lay terms. Feed to Case Prediction AI to obtain likely outcome of case in Tribunal.

WHO

Hannes Westermann

Project Lead, PhD student at Université de Montréal

Ivan Fonseca

Student at École du Barreau de Montréal, Québec

Valentin Callipel

Head of mission, Cyberjustice Laboratory

Prof Karim Benyekhlef

Director, Cyberjustice Laboratory

Me Aliaa Elhage

Legal Advisor, Aide juridique

André Saintonge

Director of IT, Cyberjustice Laboratory

Ludovic Deumaga

Analyst Programmer, Cyberjustice Laboratory

Prof Leila Kosseim

Computer Science Department at Concordia University

Andrés Lou

Master Student, Concordia University

Dr Arsène Fansi-Tchango

Mila, R&D and Technological Transfer Team

Prof Vern Walker

The Research Laboratory for Law, Logic and Technology, Hofstra University

Erez Aji

Master Student, Université de Montréal

JOIN US!

We need all kinds of talented people on our team! Drop us a line to see how you can get involved:

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This content has been updated on 12/06/2018 at 14 h 50 min.