Abstract: Systems, methods, and computer program methods for modifying a configuration of a document management system are described. In some implementation document data are received as machine learning inputs, where the document data represent one or more documents. Then, a pattern is recognized in the one or more documents using machine learning. Based on the recognized pattern, a configuration of a document management system is modified.
Type:
Grant
Filed:
October 28, 2018
Date of Patent:
May 3, 2022
Assignee:
DataNovo, Inc.
Inventors:
Alex H Chan, Oleksandr Loginov, Eric Dew
Abstract: Systems, methods, and computer program methods for modifying a configuration of a document management system are described. In some implementation document data are received as machine learning inputs, where the document data represent one or more documents. Then, a pattern is recognized in the one or more documents using machine learning. Based on the recognized pattern, a configuration of a document management system is modified.
Type:
Grant
Filed:
February 11, 2016
Date of Patent:
December 18, 2018
Assignee:
DataNovo, Inc.
Inventors:
Alex H Chan, Oleksandr Loginov, Eric Dew
Abstract: Systems, methods, and computer program methods for assessing a validity or invalidity of a patent are described. A plurality of legal documents associated with a plurality of legal cases can be received, where at least one of the plurality of legal cases can be associated with a legal proceeding. The legal proceeding can be associated with a determination of a validity or invalidity of a patent. The patent can include at least one claim. The plurality of legal documents can be stored in one or more databases. One or more predetermined patterns can be applied to the plurality of legal documents to identify reference data. The reference data can be analyzed to develop one or more analytical or statistical models. The validity or invalidity of the patent can be assessed based on the one or more analytical or statistical models.