I teach law students to work critically and practically with AI, programming and legal data. I also coordinate Maastricht University’s Master’s specialisation in Law & AI.

Maastricht University

  • Advanced Legal Analytics — Bachelor’s; coordinator and tutor. Hands-on Python programming and legal-text analysis using data science, machine learning and language models, with programming tutorials and a group legal-analytics project.
  • Legal Data Analysis and Ethics — Master’s; coordinator. Programming, computational law, data collection, model evaluation and their ethical implications. Students develop a technical AI project or an empirical investigation of a legal question.

Teaching contributions

  • Applied Legal Analytics and AI — University of Pittsburgh, Master’s, 2021–2024. My sessions have addressed fairness in AI, access to justice through JusticeBot, and the uses and limitations of LLMs for mediation and legal forms.
  • Mutations contemporaines du droit — Université de Montréal, Master’s, 2021–2023. Lectures examining the effect of artificial intelligence on law.
  • Cyberjustice Laboratory Summer School — Université de Montréal, Master’s, 2021–2023. Sessions on AI in the legal field and the implications of ChatGPT for legal practice.
  • Dispute Resolution in the Digital Age — Ohio State University, Master’s, 2023. Guest teaching in a course examining technology-assisted dispute prevention and resolution.

Short courses and public education

  • Blockchain — Université de Montréal, general public, 2020. Introduction to blockchain; associated work included an interactive five-part guide and public educational events.
  • Online Dispute Resolution and AI — Université de Montréal, general public, 2020. An introduction to online dispute resolution and artificial intelligence.
  • AI to Increase Access to Justice — Université de Montréal, general public, 2020. Introducing AI’s potential to improve access to justice.
  • Introduction to programming — Université de Montréal, researchers, 2019. An introduction to programming languages in a legal research setting.
  • Artificial Intelligence in the Legal Sector — McGill University, general public, 2019. An introduction to AI in the legal sector.
  • Interactive AI — Carnegie Mellon University, general public, 2022; course development. Conceptual content design, authoring, testing and review for an artificial-intelligence course.

Full teaching record in my CV