Using LLMs to Discover Legal Factors
<|reference_start|>Using LLMs to Discover Legal Factors: Factors are a foundational component of legal analysis and computational models of legal reasoning. These factor-based representations enable lawyers, judges, and AI and Law researchers to reason about legal cases. In this paper, we introduce a methodology that leverages large language models (LLMs) to discover lists of factors that effectively represent a legal domain. Our method takes as input raw court opinions and produces a set of factors and associated definitions. We demonstrate that a semi-automated approach, incorporating minimal human involvement, produces factor representations that can predict case outcomes with moderate success, if not yet as well as expert-defined factors can.<|reference_end|>
@article{gray2024using,
    title={Using LLMs to Discover Legal Factors},
    author={Morgan Gray and Jaromir Savelka and Wesley Oliver and Kevin Ashley},
    journal={arXiv preprint arXiv:2410.07504},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.07504},
    primaryClass={cs.CL cs.AI}
}