Abstract: A system and method for searching indexed content data using multiple proximity keyword searches to quickly and efficiently locate subsets of data that are either relevant or irrelevant to an issue of interest to a user.

Abstract: A system and method for searching indexed content data using multiple proximity keyword searches to quickly and efficiently locate subsets of data that are either relevant or irrelevant to an issue of interest to a user.

Abstract: The present invention is directed to systems and method for a purposeful sharing environment.

Abstract: The present invention is directed to a system and method for quickly searching for all irrelevant data items in a data set based on a logical expression of an issue of interest to a user, which describes what the user is searching for. By performing this search, the size of data set that the system needs to search to find relevant documents is significantly reduced. The system is also configured to identify terms that are being used in possibly inconsistent ways with their normally accepted means so that code words can be uncovered. Additionally, the system is configured to search for Trade Terms that are not contained in any Dictionaries. In some embodiments, the system and method of the present invention utilize advanced automated search techniques including highlighting capability and use of query terms for determining subsets of relevant or irrelevant content data (in paper or electronic form).

Abstract: A system and methods for optimizing search objects submitted to a data resource is provided. These techniques are advantageous in reviewing vast collections of content data or documents to identify relevant data or documents from the collections. The advanced search techniques are based on query terms, which isolate relevant content data that respond to the query terms.

Abstract: A system and methods for utilizing advanced automated search techniques including highlighting capability for determining subsets of relevant content data (in paper or electronic form) is disclosed. These techniques are advantageous in reviewing vast collections of content data or documents to identify relevant data or documents from the collections. The advanced search techniques are based on query terms, which isolate relevant content data that respond to the query terms. A probability of relevancy can be determined for a unit of content data or document in the returned subset to facilitate exclusion of a document from the subset if it does not reach a threshold probability of relevancy. Documents in a thread of a correspondence (for example, an e-mail) in the responsive documents subset can be added to the responsive documents subset. Further, an attachment to a document in the responsive documents subset can be added to the responsive documents subset.