Legal Judgement Prediction for UK Courts

Benjamin Strickson, Beatriz De La Iglesia

Research output: Contribution to conferencePaper

2 Citations (Scopus)
42 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages204-209
Number of pages6
DOIs
Publication statusPublished - 20 Apr 2020

Keywords

  • Legal judgement prediction
  • feature extraction
  • legal calculus

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