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

Proceedings of the Thirteenth Australian Computer Science Conference (ACSC-13), Monash University, Melbourne, 7-9 February, Australian Computer Science Communications, vol. 12, no. 1, pp. 303-13

13 Pages Posted: 23 Dec 2014 Last revised: 24 Aug 2018

See all articles by James Popple

James Popple

Australian National University (ANU)

Multiple version iconThere are 3 versions of this paper

Date Written: February 7, 1990

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. The process of legal reasoning is briefly examined, and two different methods of legal knowledge representation are discussed (rule-based systems and case-based systems). It is argued that a rule-based approach to legal expert systems is inappropriate given the requirements of lawyers and the nature of legal reasoning about cases. A new approach is described, 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

Suggested Citation

Popple, James, Legal Expert Systems: The Inadequacy of a Rule-Based Approach (February 7, 1990). Proceedings of the Thirteenth Australian Computer Science Conference (ACSC-13), Monash University, Melbourne, 7-9 February, Australian Computer Science Communications, vol. 12, no. 1, pp. 303-13, Available at SSRN: https://ssrn.com/abstract=2542072 or http://dx.doi.org/10.2139/ssrn.2542072

James Popple (Contact Author)

Australian National University (ANU)

Canberra, Australian Capital Territory 2601
Australia

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