Researcher

Lyria Bennett Moses

Lyria Bennett Moses is a legal scholar whose research examines how law responds to technological change, including AI regulation and use in courts. She studied mathematics and law at UNSW, practised at Freehills and served as a judicial associate in Sydney, earned graduate law degrees at Columbia, and began teaching at UNSW in 2006. Her work includes a 2017 article on AI in courts, a guide for court leaders updated online in April 2026, and a 2025 second edition of Artificial Intelligence, Robots and the Law with Michael Guihot. The Academy of the Social Sciences in Australia elected her a Fellow in 2024. She is a professor at UNSW and has led its School of Law, Society and Criminology since 2024.

Timeline

  1. 1997

    Mathematics and law at UNSW

    She earns an Honours I BSc/Law in pure mathematics at UNSW in 1997. After graduation, she practises in Sydney at Freehills and serves as an associate to Federal Court Justice Margaret Stone.

  2. 2002–2004

    Associate in Law at Columbia

    She serves as an Associate in Law at Columbia from 2002 to 2004. Her Columbia degrees are an LLM and a JSD.

  3. 2006

    Teaching law at UNSW

    She starts as a Lecturer in the Faculty of Law at UNSW in 2006.

  4. 2017

    An article on AI and courts

    She publishes “Artificial Intelligence in the courts, legal academia and legal practice” in the Australian Law Journal in 2017.

  5. 2024

    Academy fellowship

    The Academy of the Social Sciences in Australia elects her a Fellow in 2024.

  6. 2025

    A second edition on AI law

    With Michael Guihot, she publishes the second edition of Artificial Intelligence, Robots and the Law in 2025. The book addresses legal and ethical issues in AI and robotics, including automated decision-making and generative AI.

  7. April 2026

    An updated guide for court AI

    In April 2026, she coauthors an updated web version of AI Decision-Making and the Courts, a guide for judges, tribunal members and court administrators. First published in 2022 and updated in 2023, the guide outlines opportunities and challenges in court use of AI and automated decision-making, including effects on open justice, equality, procedural fairness, access to justice and efficiency.

  8. Since 2024

    Professor and Head of School

    In 2024, UNSW appoints her Head of the School of Law, Society and Criminology and cites her expertise in AI, data privacy and cybersecurity. As of October 2026, she is a professor and Head of the school. Her research addresses AI regulation and use in courts and tribunals.

Career

  1. Since 2024UNSW SydneyProfessor
  2. 2002–2004Columbia UniversityAssociate in Law
  3. FreehillsLawyer
  4. Federal Court of AustraliaAssociate to Justice Margaret Stone

Education

  1. 1997UNSW SydneyHonours I BSc/Law
  2. Columbia UniversityLLM and JSD

Sources and credits

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  1. Alumni in industry | School of Mathematics and Statistics - UNSW Sydney unsw.edu.au. Checked 21 October 2026.
  2. Professor Lyria Bennett Moses – A Trailblazer in Law and Technology ascham.nsw.edu.au. Checked 21 October 2026.
  3. Associates in Law Alumni | Columbia Law School law.columbia.edu. Checked 21 October 2026.
  4. Professor Lyria Bennett Moses unsw.edu.au. Checked 21 October 2026.
  5. Featured Fellow: Professor Lyria Bennett Moses socialsciences.org.au. Checked 21 October 2026.
  6. Artificial Intelligence, Robots and the Law, 2nd edition store.lexisnexis.com. Checked 21 October 2026.
  7. AI Decision-Making and the Courts: A guide for Judges, Tribunal Members and Court Administrators (New Web-Based Version) aija.org.au. Checked 21 October 2026.
  8. Research | Centre for the Future Legal Profession - UNSW Sydney unsw.edu.au. Checked 21 October 2026.
  9. Professor Bennett Moses to lead School of Law, Society and Criminology unsw.edu.au. Checked 21 October 2026.
  10. Law, Society and Criminology | Law & Justice - UNSW Sydney unsw.edu.au. Checked 21 October 2026.
  11. Professor Lyria Bennett Moses | UNSW Research research.unsw.edu.au. Checked 21 October 2026.