About
Est. 201850+ publications50+ partners
The Conflict Analytics Lab is an interdisciplinary research lab based at Queen’s University. We bring together researchers and practitioners from law, computer science, operations research, and dispute resolution to study and build AI systems for legal and regulatory environments.
Our work spans foundational research, applied systems, public-interest tools, and collaborations with law firms, legal-aid organizations, courts, and industry partners. Current projects include OpenJustice, MyOpenCourt, and the Deel Lab for Global Employment.
Mission & values
Vision
A global ecosystem where researchers, practitioners, industry, and public-interest organizations collaboratively build AI systems for legal, regulatory, and dispute-resolution environments.
Team
The Conflict Analytics Lab brings together researchers, engineers, legal practitioners, and students working across legal AI, dispute systems, natural language processing, empirical legal studies, and regulatory technologies. The lab operates through a combination of faculty leadership, engineering and operations teams, research affiliates, and interdisciplinary student contributors.
Executive team
Founder and Director of the Conflict Analytics Lab and OpenJustice. Associate Professor at Queen’s University and Visiting Professor at Cornell Law School. Former référendaire at the Court of Justice of the European Union and former Chief Policy Officer at Deel, where he also chaired the Deel Lab for Global Employment.
Professor at Queen’s University and Core Member at Vector Institute. Research focus: natural language processing, reasoning systems, and human-AI collaboration.
Scale AI Chair Professor at McGill University’s Desautels Faculty of Management. Research focus: data science, operations management, pricing systems, and AI deployment.
Research lead in AI infrastructure and high-performance computing at Queen’s University.
Professor at Brandeis University. Research focus: dynamical systems, neuroscience, mathematical modeling, and complex systems.
Researcher specializing in open-source governance, collaborative AI systems, and contributor ecosystems.
Operations, engineering & legal AI infrastructure
Leads operational coordination across CAL and OpenJustice initiatives, including deployments, partnerships, and interdisciplinary research support.
Research lead on legal reasoning systems, structured AI workflows, and agent-based architectures.
Research focus on NLP systems, legal reasoning, and human-AI collaboration.
Focus on legal AI deployment systems, infrastructure coordination, and implementation workflows.
Leads platform engineering and deployment infrastructure for OpenJustice systems and integrations.
Faculty affiliates
The lab's research affiliates include scholars and practitioners working across legal AI, empirical legal studies, dispute resolution, AI governance, human rights, and computational law.
Legal AI fellows & student researchers
The Conflict Analytics Lab relies on a rotating interdisciplinary cohort of JD, master's, PhD, and postdoctoral researchers from Queen's University, Cornell Law School, Université Paris Dauphine PSL, Mila, Vector Institute, and Queen's School of Computing and Electrical & Computer Engineering. The lab also collaborates closely with student researchers and contributors from:
Community & open-source ecosystem
The OpenJustice ecosystem also includes a growing international network of researchers, legal practitioners, clinics, students, and open-source contributors working on legal AI systems, benchmarks, datasets, and reasoning infrastructure across multiple legal systems.