Discoverready LLC

Other

David Matthew Shub

Yerachmiel Tzvi Messing

James Kenneth Wagner, Jr

Stephen John Barsony

Philip L Richards

Stephen H Schreiber

John T Ritter

Macyl A Burke

Merideth L Helgeson

Systems, methods, and articles are provided for characterizing and defining groups within large corpuses of documents using a combination of one or more of human judgment, tiered similarity analysis techniques, and language/concept analysis. Related apparatus, systems, techniques and articles are also described.

Document classification and characterization using human judgment, tiered similarity analysis and language/concept analysis

Data is received that characterizes each of a plurality of documents within a document set. Based on this data, the plurality of documents are grouped into a plurality of stacks using one or more grouping algorithms. A prime document is identified for each stack that includes attributes representative of the entire stack. Subsequently, provision of data is provided that characterizes documents for each stack including at least the identified prime document to at least one human reviewer. User-generated input from the human reviewer is later received that categorized each provided document and data characterizing the user-generated input can then be provided. Related apparatus, systems, techniques and articles are also described.

Document classification and characterization

A sampler tool for an electronic discovery system implementing an electronic discovery workflow is provided. The sampler tool defines a workflow, identifies, a data set, then calculates results and generates reports and archival records. In particular, the sampler tool calculates and/or obtains various metrics characterizing the workflow and generates reports based on such metrics. These reports can serve as historical snapshots which can be used for quality control purposes and/or to provide support regarding the efficacy of the data selection process or large-scale document review in the context of the electronic discovery process. Related apparatus, systems, techniques and articles are also described.

Electronic discovery system with statistical sampling

A litigation discovery document system is provided to help identify documents that might be privileged. In particular, a system is described in which documents within a document set are compared against one or more data sources which store data that indicate whether a particular document is privileged or potentially privileged. Human reviewers can confirm whether such determinations are accurate. Analytic reports can be provided which characterize the underlying methodology used to make such determinations. Related apparatus, systems, techniques and articles are also described.

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Cranford, NJ, United States of America

David Matthew Shub