23 citations · 69 across the 9 of their papers we have counts for
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cs.AI2024★ 1 cited
A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks
Axel Constant, Hannes Westermann, Bryan Wilson +6
Legal autonomy - the lawful activity of artificial intelligence agents - can be achieved in one of two ways. It can be achieved either by imposing constraints on AI actors such as…
cs.AI2023★ 5 cited
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…