Abstract
At the Donald Berman Laboratory for Information Technology and Law, La TrobeUniversity Australia, we have been building legal decision support systems for a dozenyears. Whilst most of our energy has been devoted to conducting research in ArtificialIntelligence and Law, over the past few years we have increasingly focused uponbuilding legal decision support systems that have a commercial focus.In this paper we discuss the evolution of our systems. We begin with a discussion ofrule-based systems and discuss the transition to hybrid rule-based/case-based systems.We next discuss how we have used machine learning in building legal decision supportsystems. Our focus on using machine learning led us to investigate the domains ofexplanation and argumentation. We conclude by discussing our current work onbuilding negotiation support systems and tools for constructing web-based legaldecision support systems.
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Zeleznikow, J. An Australian Perspective on Research and Development Required for the Construction of Applied Legal Decision Support Systems. Artificial Intelligence and Law 10, 237–260 (2002). https://doi.org/10.1023/A:1025450828280
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DOI: https://doi.org/10.1023/A:1025450828280