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The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal

Autor: Xie, Huiyuan, Steffek, Felix, de Faria, Joana Ribeiro, Carter, Christine, Rutherford, Jonathan

This paper explores the intersection of technological innovation and access to justice by developing a benchmark for predicting case outcomes in the UK Employment Tribunal (UKET). To address the challenge of extensive manual annotation, the study emp

Externí odkaz: http://arxiv.org/abs/2409.08098

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Topic Modelling Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment

Autor: Sargeant, Holli, Izzidien, Ahmed, Steffek, Felix

This paper addresses a critical gap in legal analytics by developing and applying a novel taxonomy for topic modelling summary judgment cases in the United Kingdom. Using a curated dataset of summary judgment cases, we use the Large Language Model Cl

Externí odkaz: http://arxiv.org/abs/2405.12910

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Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models

Autor: de Faria, Joana Ribeiro, Xie, Huiyuan, Steffek, Felix

Court transcripts and judgments are rich repositories of legal knowledge, detailing the intricacies of cases and the rationale behind judicial decisions. The extraction of key information from these documents provides a concise overview of a case, cr

Externí odkaz: http://arxiv.org/abs/2403.12936

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LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Dataset

Autor: Izzidien, Ahmed, Sargeant, Holli, Steffek, Felix

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

Externí odkaz: http://arxiv.org/abs/2403.04791

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The Cambridge Law Corpus: A Dataset for Legal AI Research

Autor: Östling, Andreas, Sargeant, Holli, Xie, Huiyuan, Bull, Ludwig, Terenin, Alexander, Jonsson, Leif, Magnusson, Måns, Steffek, Felix

Publikováno v: Advances in Neural Information Processing Systems, Datasets and Benchmarks Track, 2023

We introduce the Cambridge Law Corpus (CLC), a dataset for legal AI research. It consists of over 250 000 court cases from the UK. Most cases are from the 21st century, but the corpus includes cases as old as the 16th century. This paper presents the

Externí odkaz: http://arxiv.org/abs/2309.12269

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