Legal Information Retrieval: Evaluating Case-Based Reasoning

Abstract

This is a research whose object of study is to evaluate a legal Information Retrieval system precision. This information retrieval system is based on a model that uses artificial intelligence technique known as Case-Based Reasoning (CBR). The principle of CBR is that a past legal case can be useful to solve a current problem, since there is between them some degree of similarity. This research uses jurisprudences produced by the Regional Electoral Tribunal of the Distrito Federal. The precision degree was evaluated from the result of a set of queries submitted to it. The method adopted for the evaluation was the same used in the Text REtrieval Conference in 2007 by Legal Track Task.