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

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
238
Abstract Views
1,933
rank
105,166
PlumX Metrics