Artificial Intelligence - Special issue on AI and law
Artificial argument assistants for defeasible argumentation
Artificial Intelligence - Special issue on AI and law
Predicting outcomes of case based legal arguments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Proceedings of the 11th international conference on Artificial intelligence and law
Computable Models of the Law
Argument Schemes for Legal Case-based Reasoning
Proceedings of the 2007 conference on Legal Knowledge and Information Systems: JURIX 2007: The Twentieth Annual Conference
Proceedings of the 12th International Conference on Artificial Intelligence and Law
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This paper proposes a method for modeling legal rules from common law jurisdictions in terms of the authority commitments they create for future cases. The purpose of this method is to capture information necessary for automated inferences about the strength of existing legal authority in favor of, or against, proposed statements of law. This data would have two potential uses. First, from the point of view of a given court and date, it would be possible to resolve the authority status of each legal rule, thus resolving conflicts between contradictory rules. Second, if the set of legal rules applicable to a particular court could be determined, it would be possible to apply those rules in a simulation of litigation in that court. The paper provides an example of authority-based reasoning by modeling rules from two cases about suppression of evidence derived from warrantless searches and seizures, and then demonstrating simple inferences about the status of those rules in federal and state courts in California.