Methods and systems for determining stopping point
AssigneeRelativity Oda LLC
InventorsJesse Allan Winkler, Elise Tropiano, Robert Jenson Price, Brandon Gauthier, Theo Van Wijk, Patricia Ann Gleason
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AssigneeRelativity Oda LLC
InventorsJesse Allan Winkler, Elise Tropiano, Robert Jenson Price, Brandon Gauthier, Theo Van Wijk, Patricia Ann Gleason
Estimating the term…
A computer-implemented method, computing system, and non-transitory computer-readable medium are disclosed for configuring a machine learning-assisted review process. The method includes receiving user-defined parameters, retrieving a set of documents based on these parameters, and displaying the documents for user review and coding. Coding decisions are associated with the documents and used to modify training parameters for the machine learning process, which includes employing various neural network models such as recurrent, convolutional, and deep learning neural networks. The system and medium further involve creating, storing, and adjusting machine learning models based on coding decisions. The process aims to enhance document review efficiency by adapting machine learning models to user feedback, ultimately displaying progress and indicating when a review process has reached a predetermined stopping point.
A computer-implemented method for configuring a machine learning-assisted review process in a computing system, comprising:
A computing system for configuring a machine learning-assisted review process, comprising:
A non-transitory computer-readable medium having stored thereon instructions that, when executed by one or more processors, cause a computer to:
Dependencies are inferred from the claim text.