Legal Judgement Prediction for UK Courts

Strickson, Benjamin and De La Iglesia, Beatriz ORCID: (2020) Legal Judgement Prediction for UK Courts. In: UNSPECIFIED.

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Legal Judgement Prediction (LJP) is the task of automatically predicting the outcome of a court case given only the case document. During the last five years researchers have successfully attempted this task for the supreme courts of three jurisdictions: the European Union, France, and China. Motivation includes the many real world applications including: a prediction system that can be used at the judgement drafting stage, and the identification of the most important words and phrases within a judgement. The aim of our research was to build, for the first time, an LJP model for UK court cases. This required the creation of a labelled data set of UK court judgements and the subsequent application of machine learning models. We evaluated different feature representations and different algorithms. Our best performing model achieved: 69.05% accuracy and 69.02 F1 score. We demonstrate that LJP is a promising area of further research for UK courts by achieving high model performance and the ability to easily extract useful features.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: legal judgement prediction,feature extraction,legal calculus,human-computer interaction,computer networks and communications,computer vision and pattern recognition,software ,/dk/atira/pure/subjectarea/asjc/1700/1709
Faculty \ School: Faculty of Science > School of Computing Sciences
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Depositing User: LivePure Connector
Date Deposited: 12 May 2020 00:24
Last Modified: 22 Oct 2022 08:30
DOI: 10.1145/3388176.3388183

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