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

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

8 Pages Posted: 31 Jan 2009 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 28, 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

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: https://ssrn.com/abstract=1335646 or http://dx.doi.org/10.2139/ssrn.1335646

James Popple (Contact Author)

Australian National University (ANU)

Canberra, Australian Capital Territory 2601
Australia

Register to save articles to
your library

Register

Paper statistics

Downloads
215
Abstract Views
1,533
rank
97,419
PlumX Metrics