23 citations · 95 across the 14 of their papers we have counts for
5 papers · 1 filter
From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems
Samyar Janatian, Hannes Westermann, Jinzhe Tan +2
Encoding legislative text in a formal representation is an important prerequisite to different tasks in the field of AI & Law. For example, rule-based expert systems focused on leg…
Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies
Jakub Drápal, Hannes Westermann, Jaromir Savelka
Thematic analysis and other variants of inductive coding are widely used qualitative analytic methods within empirical legal studies (ELS). We propose a novel framework facilitatin…
JusticeBot: A Methodology for Building Augmented Intelligence Tools for Laypeople to Increase Access to Justice
Hannes Westermann, Karim Benyekhlef
Laypeople (i.e. individuals without legal training) may often have trouble resolving their legal problems. In this work, we present the JusticeBot methodology. This methodology can…
LLMediator: GPT-4 Assisted Online Dispute Resolution
Hannes Westermann, Jaromir Savelka, Karim Benyekhlef
In this article, we introduce LLMediator, an experimental platform designed to enhance online dispute resolution (ODR) by utilizing capabilities of state-of-the-art large language…
Explaining Legal Concepts with Augmented Large Language Models (GPT-4)
Jaromir Savelka, Kevin D. Ashley, Morgan A. Gray +2
Interpreting the meaning of legal open-textured terms is a key task of legal professionals. An important source for this interpretation is how the term was applied in previous cour…