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Legal Expert Systems: The Inadequacy of a Rule-Based Approach

James Popple
Australian National University; Government of the Commonwealth of Australia - Attorney Generals Department



Australian Computer Journal, Vol. 23, No. 1, pp. 11-16, 1991

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.

Keywords: case-based systems, expert systems, law, legal reasoning, rule-based systems

Accepted Paper Series

Date posted: January 31, 2009 ; Last revised: January 31, 2009

Suggested Citation

Popple, James, Legal Expert Systems: The Inadequacy of a Rule-Based Approach (February 28, 1991). Australian Computer Journal, Vol. 23, No. 1, pp. 11-16, 1991. Available at SSRN: http://ssrn.com/abstract=1335646


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Contact Information

James Popple (Contact Author)
Australian National University ( email )
Australia
HOME PAGE: http://www.popple.net/james/

Government of the Commonwealth of Australia - Attorney Generals Department ( email )
Australia
HOME PAGE: http://www.popple.net/james/
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