Machine Learning Extraction of Free-Form Textual Rules and Provisions From Legal Documents
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United States of America Patent
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Issued Date -
Apr 14, 2016
app pub date -
Oct 9, 2015
filing date -
Oct 10, 2014
priority date (Note) -
Abandoned
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Abstract
Disclosed herein is a system and method for machine learning extraction of free-form textual rules and provisions from legal documents. The method comprising electronically receiving, by the legal rules extraction engine, a document, processing the document using a first trained model executed by the legal rules extraction engine to classify the document into a document class, processing the document using a second trained model executed by the legal rules extraction engine to extract rules within the document conditional on the document class identified by the first trained model, extracting a plurality of data variables from the document by processing the classified features in the document using a third trained model executed by the legal rules extraction engine, generating by the legal rules extraction engine an output vector based on the plurality of data variables, and displaying the output vector by the legal rules extraction engine at the user interface.
First Claim
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- 15 United States
- 10 France
- 8 Japan
- 7 China
- 5 Korea
- 2 Other
Patent Owner(s)
Patent Owner | Address | |
---|---|---|
THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK | 412 LOW MEMORIAL LIBRARY 535 WEST 116TH STREET MC 4308 NEW YORK NY 10027 |
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Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Jackson,, JR Robert J | New York, US | 2 | 44 |
Mitts, Joshua R | Jersey City, US | 2 | 44 |
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11.5 Year Payment | $7400.00 | $3700.00 | $1850.00 | Oct 14, 2027 |
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Surcharge - 11.5 year - Late payment within 6 months | $160.00 | $80.00 | $40.00 |
Surcharge after expiration - Late payment is unavoidable | $700.00 | $350.00 | $175.00 |
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