Legal Expert Systems: The Inadequacy of a Rule-Based Approach
Government 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
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 systemsAccepted Paper Series
Date posted: July 8, 2012
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