Anthony Niblett

University of Toronto

Papers

3

Total Citations

22

H-Index

2

About

Anthony Niblett is a legal scholar whose research sits at the intersection of law, artificial intelligence, and judicial decision-making. His most influential work examines how algorithmic tools and AI systems might reshape the practice of law, particularly in adjudication and dispute resolution. Niblett's 2020 paper, "Will Robot Judges Change Litigation and Settlement Outcomes? A First Look at the Algorithmic Replication of Prior Cases," has garnered 17 citations and stands as a foundational contribution to the emerging field of computational jurisprudence, offering one of the first empirical explorations of how algorithms might replicate or replace judicial reasoning. His continued scholarship, including "Artificial Intelligence and Judging" (2024), moves beyond skepticism toward a nuanced assessment of AI's genuine promise for improving judicial efficiency and consistency. Rather than dismissing "robot judges" as dystopian fantasy or naive idealism, Niblett brings rigorous analytical thinking to questions about what automation means for access to justice and legal outcomes. His body of work is shaping how legal academics, policymakers, and technologists think about the future of courts in an AI-driven world.

Research Focus

Key Achievements

2
H-Index
3
Papers
22
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Will Robot Judges Change Litigation and Settlement Outcomes? A First Look at the Algorithmic Replication of Prior Cases
17 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Toronto

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago