If you are a law student at Queen’s University entering 2L or 3L, the Conflict Analytics Lab is excited to announce that applications for our 2024/2025 Legal AI Clinical course, LAW 551 – Conflict Analytics Lab Legal AI Clinic, are now open. Please read further for information about the course and the application process.

**UPDATED Deadline: Application review has already begun as of June 17th and will continue on a rolling basis until the NEW deadline of July 31st, 2024**

Application Due Date: July 31st, 2024, at 4:00pm. Candidates are strongly encouraged to submit their application as soon as possible, as they will be selected for an interview on a rolling basis. The consideration of late applications will be subject to the clinic’s capacity.

The Conflict Analytics Lab is a cutting-edge research consortium dedicated to advancing research on the intersection of law and artificial intelligence. The Legal AI Clinic is a project-focused experience designed to provide students with practical experience to collaborate with computer scientists, lawyers, and partner organizations to build legal technology. Our partner organizations include for-profit organizations, from leading law firms and tech unicorns to non-profits and public institutions such as pro bono justice organizations and supreme courts. This course is offered by the Faculty of Law with the Smith School of Business, the Department of Electrical and Computer Engineering, and the Ingenuity Lab.

The Legal AI Clinical Course awards 8 credits (4 credits per semester) and gives students a distinctive opportunity to gain practical experience in project management, legal research, and building legal applications for real users. Students will attend weekly group meetings with the Lab’s Directors and research team, guest lectures, and work directly with leading professionals from our partner organizations. Students will have a unique opportunity to conduct legal research and project work in a simulated legal tech start up environment.

In the upcoming academic year, the Lab will be working on projects including but not limited to:

  • OpenJustice – Generative AI for Law
    • Working with partner organizations, including legal information database companies and full-service law firms, to train OpenJustice (https://openjustice.ai/), a GenAI prototype designed by the Lab built on advanced language models for law, drawing from legal sources to perform legal research and document generation.
  • Misinformation and Hate Speech Assessment
  • Deel Classification Algorithm and Policy Research on:
    • Taxation (legal risk of permanent establishment; stock options and tax system for independent contractors);
    • Remote Worker Rights (Global pensions, stock options, IP, leasing of EOR); and
    • Labour and Employment Law (determination of worker status; series of predictive employment tools to assess violations of worker rights, including minimum pay overtime pay, and vacation pay)

Students have the chance to gain hands-on experience by answering questions that arise at the intersection of AI and legal research. To see more of CAL’s work in promoting access-to-justice via free AI-powered legal advice to the public, please visit: https://myopencourt.org. To see CAL’s generative AI for law, OpenJustice, please visit: https://openjustice.ai (you will need to register an account with your QueensU email to use the AI engine).

The Legal AI Clinic is offered both in the Fall semester and the Winter semester. Preference is given to those available for the full academic year and members with prior research experience with the Conflict Analytics Lab.

Course Time: Tuesdays at 5:30-7:30pm (Fall and Winter)


Applicants are required to submit the following materials:

  1. Cover letter: This should indicate your interest in legal tech, why you believe you are a good fit for the clinic, and whether you want to take the course in the fall, winter, or both semesters;
  2. A current CV; and
  3. Undergraduate and Law School Transcripts.

Please submit your application materials through the following Microsoft Forms survey using your Queen’s email: https://forms.office.com/r/4SGGmiCPdK.

Please reach out to David Liang (david.liang@queensu.ca) if you have any questions. Application review has already begun and will continue on a rolling basis until July 31st, 2024, at 4:00pm. Applicants are highly encouraged to submit their applications early, as the selection process will become more competitive as the class reaches capacity.

Selected applicants will be contacted for a short interview. We thank all applicants who apply to this position; however, only applicants selected for an interview will be contacted.