Fti Technology LLC

Fti Consulting, Inc.

Nuix North America Inc.

Attenex Corporation

Eric Robinson

Edward L Walter

David Stromberg

Shiow Ju Wu

Manfred J Gabriel

Joe Milan

Collin Arnold

A computer-implemented system and method for analyzing clusters of coded documents is provided. Clusters of documents are displayed and at least a portion of the documents are each associated with a classification code. A representation of each document is provided based on the associated classification code or an absence of the associated classification code. A search query with search terms is received. Each search term is associated with one of the classification codes. Those documents that satisfy the search query are identified and the representations of the identified documents are changed based on the classification codes associated with the search terms. The change in representation provides an indication of agreement between the classification code of such document and the classification codes of the search terms, or an indication of disagreement between the classification code of the document and the classification codes of the search terms.

Computer-implemented system and method for analyzing clusters of coded documents

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 computer-implemented system and method for visualizing message-related relationships within a social network is provided. Entities associated with a group of messages are identified. A social network is built based on a relationship of the entities and messages by connecting those entities that share at least one of the messages from the group. A representation of the social network is generated by representing each message with a node. The nodes are organized based on at least one characteristic of the messages.

Computer-implemented system and method for visualizing message-related relationships within a social network

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 displaying message-related relationships is provided. Messages are analyzed by identifying entities associated with each message, wherein the entities include senders and recipients of the messages and by accumulating a number of messages communicated between each sender and each recipient. A social network is created by connecting one or more of the senders and recipients via a link based on the number of messages communicated between that sender and that recipient. A semantic network is generated from concepts of the messages. The social network and the semantic network are simultaneously displayed.

System and method for displaying message-related relationships

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.

A system and method for generating graphical representations of message-related relationships is provided. Messages exchanged between at least two entities are analyzed. Data elements are extracted from the messages. Concepts are identified based on the extracted data elements. A social network is created based on the exchanged messages. Each entity is represented by a node. One or more links are created between at least two of the nodes. Each link represents the messages exchanged between the entities represented by the at least two nodes. A representation of the social network is provided. The concepts associated with the exchanged messages are displayed with the social network.

System and method for generating representations of message-related relationships

Electronic data files are broadly characterized as 'messages' and a social network is constructed by analyzing one or more messages exchanged between various entities. Additionally, messages from structured and/or unstructured data stores are correlated using one or more common/related data elements from two or more messages. Further, the social network and the concepts contained in the exchanged messages (i.e. semantic network) can be visualized using a series of multi-aspect viewing tools. Finally, in conjunction with the social network and the semantic network, a message network based on the chronological relationship of the messages (event network) can be constructed to analyze and visualize how the messages relate to each other in a time-based reference model. Once visualized, the relationship of the concepts contained in the messages as well as the relationship between the entities and the timing involved in the exchange of messages can be analyzed for desired information.

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Bellevue, WA, United States of America

Eric Robinson