Publications

  1. Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence arXiv 2026

    Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence

    Jinzhe Tan*, Ali Ekber Cinar, Karim Benyekhlef (*Corresponding author)

    Preprint on arXiv (arXiv:2606.07613), 2026.

  2. AI and the Future of Public Courts Cambridge

    AI and the Future of Public Courts

    Nicolas Vermeys, Jinzhe Tan

    The Cambridge Handbook of AI in Civil Dispute Resolution (eds. A. J. Schmitz, M. Giacalone, P. Ortolani), Cambridge University Press, 2026.

  3. Robots in the Middle: Evaluating LLMs in Dispute Resolution JURIX 2024

    Robots in the Middle: Evaluating LLMs in Dispute Resolution

    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.

  4. From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems JURIX 2023

    From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems

    Samyar Janatian*, Hannes Westermann, Jinzhe Tan, Jaromir Savelka, Karim Benyekhlef (*Corresponding authors)

    International Conference on Legal Knowledge and Information Systems (JURIX), 2023.

  5. Bridging the Gap: Mapping Layperson Narratives to Legal Issues with Language Models ASAIL 2023

    Bridging the Gap: Mapping Layperson Narratives to Legal Issues with Language Models

    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.

  6. ChatGPT as an Artificial Lawyer? AI4AJ 2023

    ChatGPT as an Artificial Lawyer?

    Jinzhe Tan*, Hannes Westermann, Karim Benyekhlef (*Corresponding authors)

    Artificial Intelligence for Access to Justice (AI4AJ), 2023.

  7. Data Science Applications and Implications in Legal Studies: A Perspective Through Topic Modelling JDS

    Data Science Applications and Implications in Legal Studies: A Perspective Through Topic Modelling

    Jinzhe Tan, Huan Wan, Ping Yan, Zhen Zhu* (*Corresponding authors)

    Journal of Data Science (JDS), 2023