Thesaurus-based Retrieval of Case Law

In the context of intelligent disclosure of case law, we report on our findings on methods for retrieving relevant case law within the domain of tort law from a repository of 68.000 court verdicts. We apply a thesaurus-based technique to find specific legal situations. It appears that statistical measures of term relevance are insufficient, but that explicit knowledge about specific formulations used in law and case law are required to distinguish relevant case law from irrelevant. In addition, we found out that retrieving legal concepts with an “interpretive” character requires a different method than retrieving concepts that do not require additional interpretation.

[1]  J. Bing,et al.  Designing text retrieval systems for conceptual searching , 1987, ICAIL '87.

[2]  Kees van Noortwijk,et al.  Re-usable retrieval concepts for the classification of legal documents , 2005, ICAIL '05.

[3]  Floris Bex,et al.  The 11th International Conference on Artificial Intelligence and Law. Proceedings of the Conference , 2001 .

[4]  Gerard Salton,et al.  Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[5]  Erik M. van Mulligen,et al.  Research for research: tools for knowledge discovery and visualization , 2002, AMIA.

[6]  Judith P. Dick Representation of legal text for conceptual retrieval , 1991, ICAIL '91.

[7]  Jaap Hage,et al.  Hard cases: A procedural approach , 1993, Artificial Intelligence and Law.

[8]  Frank van Harmelen,et al.  The Legal Concepts and the Layman's Terms - Bridging the Gap through Ontology-Based Reasoning about Liability , 2005, JURIX.

[9]  J. Zeleznikow,et al.  Fundamentals of Providing Negotiation Support Online : the Need for Developing BATNAs , 2005 .

[10]  Pompeu Casanovas,et al.  Iuriservice II: ontology development and architectural design , 2005, ICAIL '05.

[11]  Erik M. van Mulligen,et al.  Constructing an associative concept space for literature-based discovery , 2004, J. Assoc. Inf. Sci. Technol..

[12]  John Zeleznikow,et al.  Fundamentals of Providing Negotiation Advice Online : the Need for Developing BATNAs , 2005 .

[13]  Edwina L. Rissland,et al.  BankXX: Supporting legal arguments through heuristic retrieval , 1996, Artificial Intelligence and Law.

[14]  Marie-Francine Moens,et al.  Innovative techniques for legal text retrieval , 2001, Artificial Intelligence and Law.

[15]  Gerard Salton,et al.  Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer , 1989 .

[16]  Erik M. van Mulligen,et al.  Facilitating networks of information , 2000, AMIA.