Using LLMs to Discover Legal Factors
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917799900741632 |
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| author | Gray, Morgan Savelka, Jaromir Oliver, Wesley Ashley, Kevin |
| author_facet | Gray, Morgan Savelka, Jaromir Oliver, Wesley Ashley, Kevin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_07504 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Using LLMs to Discover Legal Factors Gray, Morgan Savelka, Jaromir Oliver, Wesley Ashley, Kevin Computation and Language Artificial Intelligence 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. |
| title | Using LLMs to Discover Legal Factors |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2410.07504 |