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The e-Courts project consists of an entirely digital structure on the Web, providing access 24 hours per day, 7 days a week. The most important software of the Distribution Module is the Intelligent System for Validation of Parts of the Judicial Process (Sistema Inteligente de Validação de Peças Processuais -SIVAPP), which uses the most modern techniques of Artificial Intelligence to classify and store the petitions received by the system via web, allowing to optimise the time currently spent on filing and processing a judicial litigation.

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This paper presents a case-based system to retrieve legal statements of Brazilian High Courts that emphasizes the use of theoretical structures to represent cases. AlphaThemis system has the characteristics from other case-based systems. The major innovation is to allow the user modify the weights used to determine the importance of each feature in similarity measure. This innovation is called dynamic weights. Their objective is to improve the retrieval accuracy in systems that have a human expert supporting the case base creation. In this paper, we analyze the recall and usefulness of dynamic weights, suggesting a new calibration of attribute relevance to achieve the their total efficiency.