AI-Driven Model for Contract Law Cases

Abstract: The subjective nature of human analysis results in inconsistent decision-making, which seriously jeopardizes the accuracy and fairness of the verdicts in contract disputes. Legal practitioners confront the difficult task of organizing and evaluating numerous precedent/statutes case materials promptly as the amount of contracts keeps increasing. This time constraint not only makes it more difficult to resolve contract issues on time but also makes the legal system more complicated and unclear. There has never been a greater need for contract litigation to undergo an extensive change. The researcher proposed two complementary methods for retrieving legal documents: BM25 and an aggregated Bidirectional Long Short-Term Memory (BiLSTM) model with a Convolution Neural Network (CNN)

Legal Retrieval, Bilstm, Litigation, Bm25, Cnn

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