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Jinzhe Tan

Ph.D. Candidate
Faculty of Law, University of Montreal
jinzhe.tan@umontreal.ca


About Me

I am a fourth-year Ph.D. candidate in Artificial Intelligence and Law at the Faculty of Law, University of Montreal, supervised by Prof. Karim Benyekhlef and also a member of Cyberjustice Laboratory. My research focuses on the intersection of Artificial Intelligence (AI) and Law, aiming to enhance the accessibility and equality of the justice system. My current work applies AI to the legal domain across three main themes: (1) using AI to provide legal information, (2) supporting dispute resolution through intelligent systems, and (3) identifying, verifying, and mitigating flaws in judicial decision-making.

I have published and presented my research at several international conferences, and my contributions have been recognized by the ICAIL 2023 workshops, and International Conference on Legal Knowledge and Information Systems (JURIX) 2023 & 2024, where my co-authored paper won the Best Paper Award. I’m always open to new collaborations—feel free to get in touch if you’d like to connect!

Research Interests

News

Publications

  1. JURIX 2024
    Jinzhe Tan*, Hannes Westermann, Nikhil Reddy Pottanigari, Jaromír Šavelka, Sébastien Meeùs, Mia Godet, Karim Benyekhlef (*Corresponding authors)
    International Conference on Legal Knowledge and Information Systems (JURIX), 2024.

  2. JURIX 2023
    Samyar Janatian*, Hannes Westermann, Jinzhe Tan, Jaromir Savelka, Karim Benyekhlef (*Corresponding authors)
    International Conference on Legal Knowledge and Information Systems (JURIX), 2023.

  3. ASAIL 2023
    Hannes Westermann*, Sébastien Meeùs, Mia Godet, Aurore Troussel, Jinzhe Tan, Jaromir Savelka, Karim Benyekhlef (*Corresponding authors)
    Automated Semantic Analysis of Information in Legal Text (ASAIL 2023), 2023.

  4. AI4AJ 2023
    Jinzhe Tan*, Hannes Westermann, Karim Benyekhlef (*Corresponding authors)
    Artificial Intelligence for Access to Justice (AI4AJ), 2023.

  5. JDS
    Jinzhe Tan, Huan Wan, Ping Yan, Zhen Zhu* (*Corresponding authors)
    Journal of Data Science (JDS), 2023

Selected Talks

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