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Alan Midgley
Alastair Moore
Dominic Courage
Flavia Kenyon
Geoffrey Goodell
Karl Reimer
Michael Mainelli
Nick Davies
Rasto Koval
Ryland Ash
Stacy Sinclair
Stephen Dowling
AG Midgley Ltd, University College London (UCL), 33 Chancery Lane, University of Zurich, Z/Yen, IC4DTi, Cequence.io, Watson Farley & Williams, Fenwick Elliott, TrialView
2026
Judicial Empathy and Machine Assistance: Legal, Ethical and Governance Constraints on AI in Adjudication.
  • The paper investigates whether AI can legitimately assist or replace human judges, particularly in expressing empathy—a quality the authors argue is essential for procedural justice and legitimacy.
  • It defines judicial empathy as a "disciplined capacity to grasp the practical stakes of a dispute" and treats it as a component of a fair hearing and reasoned decision-making.
  • The authors propose a governance and design framework for judicial AI based on four principles: human responsibility, procedural transparency, contestability/auditability, and proportxonality of use.
  • The research draws on legal doctrine, interdisciplinary scholarship, and insights from a July 2025 stakeholder roundtable.