A Case-Based Approach to Modeling Legal Expertise Kevin D. Ashley and Edwina L. Rissland University of Massachusetts

AI Classics/files/AI/classics/Rissland/ER12.pdf 

As an indispensable supplement to reasoning cases, or mopcs) to outline an argument regarding deductively with legal rules, attorneys and judges reason how to decide the cfs based on its significant similarities to analogically with precedent cases; rule predicates are and differences from mopes. A claim lattice projects the case knowledge seldom exists to legal questions. Legal experts make base (CKB) onto the problem situation to create a neighborhood competing arguments instead, pitting conflicting interpretations of cases surrounding the problem situation in which of cases and facts against each other. We will present a Hypo, a computer program that performs case-based detailed example of a claim lattice actually generated by reasoning in the legal domain, helps attorneys analyze and Hypo to analyze a real legal case. To perform this task, indexing and retrieving relevant cases are not enough.

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