Research project

REGALS: Responsible Employment of Generative AI for Legal Services

Project overview

As Large Language Models (LLMs) become increasingly sophisticated, emerging use cases threaten professions that have so far escaped the threat of automation, including psychotherapy, social services, and legal counsel. Adding to concerns about the impact of LLMs on professionals, the benefits and risks of this potential change are poorly understood. This project will examine the legal soundness and social acceptability of embedding LLMs in the workflow of legal professionals. We will do so in a series of experiments that seek to test the trustworthiness of LLM-generated legal advice, aiming to improve understanding of how to make generative AI more responsible.

Staff

Lead researchers

Dr Eike Schneiders

Senior Lecturer in Computer Science

Research interests

  • Human-Computer and Robot Interaction
  • Human-AI Interaction focusing on generative AI and its impact on society
  • Multidisciplinary research in collaboration with, artists, medical professionals, and lawyers
Connect with Eike

Other researchers

Dr Tina Seabrooke

Lecturer B

Research interests

  • Episodic memory
  • Associative learning
Connect with Tina

Research outputs

Tina Seabrooke, Eike Schneiders, Liz Dowthwaite, Joshua Krook, Natalie Leesakul, Jeremie Clos, Horia Maior & Joel Fischer, 2024
Type: conference