Cataphora, Inc.

Ernst & Young U.s.llp

Cataphorn, Inc.

Steven L Roberts

Elizabeth B Charnock

Roman Brouk

Curtis Thompson

Keith Eric Schon

David J Holsinger

Arpit Bothra

Jonathan D Nystrom

Joanes C Espanol

A method of more efficient, phased, iterative processing of very large collections of electronic data for the purposes of electronic discovery and related applications is disclosed. The processing minimally includes: text extraction, and the creation of a keyword search index, but may include many additional stages of processing as well. The method further includes: definition of an initial set of characteristics that correspond to 'interesting' data, followed by the iterative completion of processing of this data based on a combination of user feedback on the overall relevance of the documents being processed and the system's assessment of whether or not the data it has recently selected to promote in the processing completion queue has the desired quality and quantity of relevant data. The process continues until all identified data has either been fully processed, or discarded at some intermediate stage of processing as being likely irrelevant. This has the result of effectively finishing the processing much earlier, as the later documents in the processing queue will be increasingly irrelevant.

Efficient and phased method of processing large collections of electronic data known as 'best match first'&#x2122; for electronic discovery and other related applications

A method to enable improved analysis and use of sociological data, the method comprising identifying causal relationships between a plurality of documents, identifying a plurality of characteristics of a communication, including a modality used, actors involved, proximate events of relevance, and enabling a user to query based on available characteristics.

Method and apparatus for sociological data analysis

A method to enable improved analysis and use of sociological data, the method comprising identifying causal relationships between a plurality of documents, identifying a plurality of characteristics of a communication, including a modality used, actors involved, proximate events of relevance, and enabling a user to query based on all of the characteristics available.

A method of organizing information is disclosed. The method comprises providing a visualization of actor communications in the context of one or more discussion, a discussion including at least one actor and at least one documented communication.

Method and apparatus to visually present discussions for data mining purposes

This patent describes a method and apparatus to automatically and accurately winnow down arbitrarily large amounts of electronic information created by a particular population of actors to only those subsets of particular interest by having a causal relationship, even when retrieved documents containing this information do not individually satisfy the search criteria used. An actor in this context is defined as any entity, single or aggregate, capable of creating, distributing, modifying, or receiving digital information. Once identified, this subset of information may, for example, be processed, analyzed, redacted, or destroyed, depending on the context of the system's use.

Data mining by retrieving causally-related documents not individually satisfying search criteria used

A processing system for retrieving interrelated documents is described. The system comprises a document repository for storing a plurality of documents, a metadata repository for storing a plurality of metadata elements to represent relations between the documents, and a sociological analysis engine to identify relationships between the documents using the metadata elements from the metadata repository.

Growing community of inventors

Foster City, CA, United States of America

Steven L Roberts