MACHINE LEARNING FOR LEGAL CLAUSE EXTRACTION
Number of patents in Portfolio can not be more than 2000
United States of America
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Issued Date -
Mar 13, 2025
app pub date -
Jan 30, 2024
filing date -
Jan 30, 2024
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Abstract
Methods, systems, apparatuses, devices, and computer program products are described. A system may support a machine learning model for legal clause extraction. The machine learning model may receive, as an input, at least a portion of a document and may output an indication of one or more legal clauses included in the document. To train the model, the system may receive a document and an indication of ground truths (e.g., legal clauses) for the document. The system may determine one-to-one mappings between the legal clauses indicated by the ground truths and the legal clauses indicated by the output of the machine learning model. The system may perform a longest common substring analysis on the one-to-one mappings to determine an accuracy of the machine learning model and may iteratively update the model based on the analysis.
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