Abstract: A set of trigrams can be generated for each document in a plurality of documents processed by an e-discovery system. Each trigram in the set of trigrams for a given document is a sequence of three terms in the given document. A set of trigrams for each similar document is then determined based on the set of trigrams for the original document. To facilitate identification of the similar documents, a full text index is then generated for the plurality of documents and the set of trigrams for each document are indexed into the full text index, as individual terms. Queries can be generated into the full text index based on trigrams of a document to determine other similar or near-duplicate documents. After a set of potentially similar documents are identified, a separate distance criteria can be applied to evaluate the level of similarity between the two documents in an efficient way.

Abstract: A set of trigrams can be generated for each document in a plurality of documents processed by an e-discovery system. Each trigram in the set of trigrams for a given document is a sequence of three terms in the given document. A set of trigrams for each similar document is then determined based on the set of trigrams for the original document. To facilitate identification of the similar documents, a full text index is then generated for the plurality of documents and the set of trigrams for each document are indexed into the full text index, as individual terms. Queries can be generated into the full text index based on trigrams of a document to determine other similar or near-duplicate documents. After a set of potentially similar documents are identified, a separate distance criteria can be applied to evaluate the level of similarity between the two documents in an efficient way.

Abstract: An exemplary predictive coding system can be programmed to update a plurality of training documents based on a portion of a training document selected by a user. The predictive coding system generates a machine learning engine based on the updated plurality of training documents. The predictive coding system predicts a classification for one or more remaining documents from the plurality of training documents using the machine learning engine.

Abstract: Methods and systems for searching e-mails are disclosed. In one embodiment, a method for displaying information associated with electronic messages includes receiving information associated with a plurality of e-mails in response to a search query. Each e-mail in the plurality of e-mails is categorized according to a set of categories. Relevance is determined of each e-mail in the plurality of e-mails. The plurality of e-mails are then displayed using a graphical user interface according to the set of categories and the relevance of each e-mail. Input may be received from a user indicative of a tag. The tag may be associated with at least one of the plurality of e-mails and displayed to assist in review.

Abstract: A set of trigrams can be generated for each document in a plurality of documents processed by an e-discovery system. Each trigram in the set of trigrams for a given document is a sequence of three terms in the given document. A set of trigrams for each similar document is then determined based on the set of trigrams for the original document. To facilitate identification of the similar documents, a full text index is then generated for the plurality of documents and the set of trigrams for each document are indexed into the full text index, as individual terms. Queries can be generated into the full text index based on trigrams of a document to determine other similar or near-duplicate documents. After a set of potentially similar documents are identified, a separate distance criteria can be applied to evaluate the level of similarity between the two documents in an efficient way.

Abstract: The invention provides techniques for efficiently organizing and reviewing electronic documents to be produced in the course of a discovery process. The technique provides for marking the master or pivot document with review information, and identifying a plurality of duplicate documents related to the master or pivot document. The technique provides for reviewing a master or pivot document and propagating the review information to a set of related documents. The technique provides for producing a plurality of electronic documents where each of the electronic documents is marked up in accordance with the review information. The method provides for organizing the plurality of electronic documents so it can be presented and searched in an efficient manner.

Abstract: Methods and systems for searching e-mails are disclosed. In one embodiment, a method for searching e-mails includes receiving input indicative of one or more search terms. A query plan is determined based on the one or more search terms. The method includes performing a search in response to the query plan to determine information related to the one or more e-mails. Then, a set of results are generated based on the information related to the one or more e-mails.

Abstract: The invention provides techniques for efficiently organizing and reviewing electronic documents to be produced in the course of a discovery process. The technique provides for marking the master or pivot document with review information, and identifying a plurality of duplicate documents related to the master or pivot document. The technique provides for reviewing a master or pivot document and propagating the review information to a set of related documents. The technique provides for producing a plurality of electronic documents where each of the electronic documents is marked up in accordance with the review information. The method provides for organizing the plurality of electronic documents so it can be presented and searched in an efficient manner.