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The Brazilian court system is currently the most clogged up judiciary systemin the world. Thousands of lawsuit cases reach the supreme court every day.These cases need to be analyzed in order to be associated to relevant tags andallocated to the right team. Most of the cases reach the court as rasterscanned documents with widely variable levels of quality. One of the firststeps for the analysis is to classify these documents. In this paper we presenta Bidirectional Long Short-Term Memory network (Bi-LSTM) to classify thesepieces of legal document.

Document classification using a Bi-LSTM to unclog Brazil's supreme court