Analysing the Impact of Legal Change through Case Classification

Open Access
Authors
Publication date 2018
Host editors
  • M. Palmirani
Book title Legal Knowledge and Information Systems
Book subtitle JURIX 2018: The Thirty-first Annual Conference
ISBN
  • 9781614999348
ISBN (electronic)
  • 9781614999355
Series Frontiers in Artificial Intelligence and Applications
Event 31st International Conference on Legal Knowledge and Information Systems, JURIX 2018
Pages (from-to) 121-130
Number of pages 10
Publisher Amsterdam: IOS Press
Organisations
  • Faculty of Law (FdR) - Bonger Institute of Criminology (ARILS)
  • Faculty of Law (FdR)
  • Faculty of Law (FdR) - Amsterdam Center for International Law (ACIL)
  • Faculty of Law (FdR) - Leibniz Center for Law (FdR)
Abstract

In this paper an automated solution for finding cases for analysing the impact of legal change is proposed and the results are analysed with the help of a legal expert. It focuses on the automatic classification of 15,000 judgments within civil law. We investigated to what extent several machine learning algorithms were able to classify cases 'correctly'. This was done with accuracies around 0.85. However, the data were scarce and the initial labelling not perfect, so further research should focus on these aspects to improve the analysis of the impact of legal change.
Document type Conference contribution
Language English
Published at https://doi.org/10.3233/978-1-61499-935-5-121
Other links https://www.scopus.com/pages/publications/85059611929
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