Publications

Lawyers Should Not Trust AI: A call for an Open-source Legal Language Model

Dahan, Samuel and Bhambhoria, Rohan and Liang, David and Zhu, Xiaodan, Lawyers Should Not Trust AI: A call for an Open-source Legal Language Model (August 28, 2023).

The Use of AI in Legal Systems: Determining Independent Contractor vs. Employee Status

Cohen, Maxime C. and Dahan, Samuel and Khern-am-nuai, Warut and Shimao, Hajime and Touboul, Jonathan, The Use of AI in Legal Systems: Determining Independent Contractor vs. Employee Status (January 20, 2022). Queen's University Legal Research Paper Forthcoming, Available at SSRN or DOI.

Strategic Best Response Fairness in Fair Machine Learning

Hajime Shimao, Warut Khern-am-nuai, Karthik Kannan, and Maxime C. Cohen. 2022. Strategic Best Response Fairness in Fair Machine Learning. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES '22). Association for Computing Machinery, New York, NY, USA, 664.

Evaluating Explanation Correctness in Legal Decision Making

Chu Fei Luo et al, "Evaluating Explanation Correctness in Legal Decision Making” (2022) The 35th Canadian Conference on Artificial Intelligence, online.

Interpretable Low-Resource Legal Decision Making

Rohan Bhambhoria et al, “Interpretable Low-Resource Legal Decision Making” (2022) 36:11 Proceedings of the AAAI Conference on Artificial Intelligence, DOI.

Analytics and EU Courts: The Case of Trademark Disputes

Samuel Dahan et al, “Analytics and EU Courts: The Case of Trademark Disputes” (2022) The Changing European Union: A critical view on the role of the Courts (Hart), DOI.

Detection of Similar Legal Cases on Personal Injury

Jason Lam et al, “Detection of Similar Legal Cases on Personal Injury” (2021) 2021 International Conference on Data Mining Workshops (ICDMW), DOI.

Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction

Rohan Bhambhoria, Samuel Dahan & Xiaodan Zhu, “Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction” (2021) The 34th Canadian Conference on Artificial Intelligence, online. Samuel Dahan & David Liang, “The Case for AI-Powered Legal Aid” (2021) 46 Queen’s LJ 415

Conflict Analytics: When Data Science Meets Dispute Resolution

Maxime C. Cohen, Samuel Dahan & Colin Rule, “Conflict Analytics: When Data Science Meets Dispute Resolution” (2021) Management Business Review, online.

The Weiss/PSPP Case and the Future of Constitutional Pluralism in the EU

Capeta, Tamara, The Weiss/PSPP Case and the Future of Constitutional Pluralism in the EU (October 1, 2020). Exploring the social dimension of Europe. Essays in honour of Nada Bodiroga-Vukobrat, Verlag Dr Kovač, 2021, Available at SSRN or DOI.

Determining Worker Type from Legal Text Data using Machine Learning

Yifei Yin, Farhana Zulkernine & Samuel Dahan, “Determining Worker Type from Legal Text Data using Machine Learning”, (Paper delivered at the 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress, August 2020), DOI.

AI-powered Trademark Disputes Resolution Systems

Samuel Dahan, “AI-powered Trademark Disputes Resolution Systems” (2020) EUIPO at 39.

Canada Mediation: Regulations, Trends & Practices

Samuel Dahan, “Canada Mediation: Regulations, Trends & Practices” (2020) Lexis Nexis.

Predicting Employment Notice Period with Machine Learning: Promises and Limitations

Samuel Dahan et al, “Predicting Employment Notice Period with Machine Learning: Promises and Limitations” (2020) McGill LJ 65:4, DOI.

The Gap between Deep Learning and Law: Predicting Employment Notice

Samuel Dahan et al, “The Gap between Deep Learning and Law: Predicting Employment Notice” (2020) ICML (International Conference on Machine Learning) 10 at 7.

A Path-Dependent Deadlock: Institutional Causes of the Euro Crisis

Samuel Dahan, “A Path-Dependent Deadlock: Institutional Causes of the Euro Crisis” (2016) Cornell Int’l LJ 49:2 at 309.

Whatever it takes? Regarding the OMT ruling of the German Federal Constitutional Court

Samuel Dahan, Olivier Fuchs & Marie-Laure Layus, “Whatever it takes? Regarding the OMT ruling of the German Federal Constitutional Court” (2015) Journal of International Economic Law 18:1, at 137.

L’influence grandissante du droit comparé au Conseil d’État: vers une procédure juridictionnelle innovante?

Aurélie Bretonneau, Samuel Dahan & Duncan Fairgrieve, “L’influence grandissante du droit comparé au Conseil d’État: vers une procédure juridictionnelle innovante?” (2015) Revue française de droit administratif, Dalloz, 2015, 4. ⟨hal-01406435⟩.

Courts and Comparative Law : Comparative Legal Methodology of the Conseil d’Etat: Towards an Innovative Judicial Process?

Samuel Dahan, Duncan Fairgrieve & Aurelie Bretonneau, "Courts and Comparative Law : Comparative Legal Methodology of the Conseil d’Etat: Towards an Innovative Judicial Process?" (USA: Oxford University Press, 2015) at 242.

The Legal Case for a Central Bank Labour Mandate’, Rethinking the Foundations of Workplace Law

Samuel Dahan and Jonathan Benchimol, ‘The Legal Case for a Central Bank Labour Mandate’, Rethinking the Foundations of Workplace Law (2023).