Fti Consulting, Inc.

Manfred J Gabriel

Eric Robinson

Eric Michael Robinson

A system and method for classifying documents via propagation are provided. Text highlighted by a user within at least one document is identified. The document is associated with a classification code based on the highlighted text. At least a portion of the highlighted text is compared with one or more unclassified documents. Those unclassified documents with text that is the same as the compared portion of the highlighted text in the document are identified. The classification code of the document is automatically assigned to the identified unclassified documents with text that is the same. Further, those unclassified documents with text that is similar to the compared portion of the highlighted text in the document are identified. The unclassified documents with similar text are provided to the user for review and classification.

System and method for classifying documents via propagation

A system and method for propagating classification decisions is provided. Text marked within one or more unclassified documents that is determined to be responsive to a predetermined issue is received from a user. The unclassified documents are selected from a corpus. A search query is generated from the responsive text. Same result documents are identified by applying inclusive search parameters to the query, applying the search query to the corpus, and identifying the documents that satisfy the query. Similar result documents are identified by adjusting a breadth of the query by applying less inclusive search parameters and identifying documents from the corpus that satisfy the query. A responsive classification code is automatically assigned to each same result document for classification as responsive documents. The similar documents are provided to the user. A responsive classification decision is received form the user for classification as the responsive documents.

System and method for propagating classification decisions

A system and method for propagating classification decisions is provided. Text marked within one or more unclassified documents that is determined to be responsive to a predetermined issue is received from a user. The unclassified documents are selected from a corpus. A search query is generated from the responsive text. Same result documents are identified by applying inclusive search parameters to the query, applying the search query to the corpus, and identifying the documents that satisfy the query. Similar result documents are identified by adjusting a breadth of the query by applying less inclusive search parameters and identifying documents from the corpus that satisfy the query. A responsive classification code is automatically assigned to each same result document for classification as responsive documents. The similar documents are provided to the user. A responsive classification decision is received from the user for classification as the responsive documents.

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Ashfield, MA, United States of America

Manfred J Gabriel