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LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Dataset
March 11, 2024, 4:41 a.m. | Ahmed Izzidien, Holli Sargeant, Felix Steffek
cs.LG updates on arXiv.org arxiv.org
Abstract: To undertake computational research of the law, efficiently identifying datasets of court decisions that relate to a specific legal issue is a crucial yet challenging endeavour. This study addresses the gap in the literature working with large legal corpora about how to isolate cases, in our case summary judgments, from a large corpus of UK court decisions. We introduce a comparative analysis of two computational methods: (1) a traditional natural language processing-based approach leveraging expert-generated …
abstract arxiv case computational court cs.cl cs.ir cs.lg dataset datasets decisions gap issue law lawyers legal literature llm research study summary type
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