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Legal Expert Systems: The Inadequacy of a Rule-Based ApproachJames PoppleGovernment of the Commonwealth of Australia - Office of the Australian Information Commissioner; Australian National University (ANU) May 23, 1990 Advances in Computing and Information: Proceedings of the International Conference on Computing and Information (ICCI-90), eds Selim G. Akl, Frank Fiala and Waldemar W. Koczkodaj, Niagara Falls, Canada, 23–26 May 1990, Canadian Scholars' Press, Toronto, pp. 348–51 Abstract: The two different categories of legal AI system are described, and legal analysis systems are chosen as objects of study. So-called judgment machines are discussed, but it is decided that research in legal AI systems would be best carried-out in the area of legal expert systems. A model of legal reasoning is adopted, and two different methods of legal knowledge representation are examined: rule-based systems and case-based systems. It is argued that a rule-based approach to legal expert systems is inadequate given the requirements of lawyers and the nature of legal reasoning about cases. A new, eclectic approach is proposed, incorporating both rule-based and case-based knowledge representation. It is claimed that such an approach can form the basis of an effective and useful legal expert system.
Number of Pages in PDF File: 5 Keywords: case-based systems, expert systems, law, legal reasoning, rule-based systems Accepted Paper SeriesDate posted: July 8, 2012Suggested CitationContact Information
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