A machine learning approach to prior case retrieval

Authors:
Khalid Al-Kofahi;Alex Tyrrell;Arun Vachher;Peter Jackson
Affiliations:
Thomson Legal & Regulatory, R&D, B8-2, Aqueduct Building, Rochester, NY;Thomson Legal & Regulatory, R&D, B8-2, Aqueduct Building, Rochester, NY;Thomson Legal & Regulatory, R&D, B8-2, Aqueduct Building, Rochester, NY;Thomson Legal & Regulatory, R&D, D1-N353, 610 Opperman Drive, Eagan, MN
Venue:
Proceedings of the 8th international conference on Artificial intelligence and law
Year:
2001

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Abstract

We describe a system that processes court opinions and retrieves related cases from a citator database, so that new cases can be linked to earlier ones that they impact. The design of the system combines information extraction, information retrieval and machine learning techniques in a novel way. The fully implemented program is capable of performing prior case retrieval at human levels of recall and acceptable levels of precision.