In May 2020, the Conflict Analytics Lab launched the first suite of open-access Artificial Intelligence tools: MyOpenCourt
. The tools will help workers to determine their termination compensation as well as assess whether a worker is an employee or an independent contractor. In addition, MyOpenCourt
will connect members of the public with lawyers for an initial pro bono consultation related to dismissals. Professor Dahan is looking for about a dozen alumni who can field general questions about the law. Labour law is preferred, but many of the questions can be answered by lawyers with a general JD. If you'd like to get involved, please complete our sign-up form
We conduct analytics research on the application of Artificial Intelligence to dispute resolution and negotiation. We have assembled a team of researchers from the fields of Management Sciences, Operations Management, Marketing, Information Systems, Finance, Business Economics and Computing Science. For more details about the practical applications of this research, see our latest paper.
This tool will help workers to determine their termination compensation as well as whether an employee is an employee or an independent contractor. In addition, MyOpenCourt will connect members of the public with lawyers for an initial pro bono consultation related to dismissals. See our paper
on Machine Learning and Reasonable Notice Determination in the McGill Law Journal.
The Conflict Analytics Lab has partnered with Borden Ladner Gervais LLP to create an Intelligent Settlement System. This initiative will give litigators in personal injury matters an objective tool to better assess cases and to assist with pre-trial strategies and finding optimal negotiation strategies and outcomes. Its most immediate anticipated benefits include improved consistency and efficiency in dispute negotiation and settlement; projecting litigation outcomes; and understanding the specific demands and negotiating techniques and settlement ranges across individual law firms.
Customer Disputes Analytics
Optimization of customer dispute resolution through predictive analytics in the banking, airline, telecommunication and hotel industries. See paper
by M. Cohen, S. Dahan and C. Rule.
AI-Powered Online Tribunal System
A four-step Online Dispute Resolution platform (pre-trial analytics; negotiation; mediation; adjudication) coupled with an analytics system deployed at the outset of the processm aimed at providing a degree of legal help as well as assisted negotiation support for self-represented litigants. View presentation
Use of pattern recognition to assess the likelihood of confusion between brands. See our last presentation
at the European Union Intellectual Property Office in Alicante, Spain.
Data mining settlement and mediation agreements (employment and consumer disputes). Reveal trends in settlement agreements.
Personal Injury Analytics
Use of data modelling to help individuals retrieve personal injury case records and calculate personal injury damages.
COVID and the Courts: A Procedural Emergency Blog
We will be using this space to document and comment on pandemic-related changes in court and ADR procedures. Click here to learn more