Recommind, an enterprise search and categorization company, has announced the next generation of its flagship MindServer platform, featuring new ediscovery functionality designed to enable enterprises to locate electronically stored information that must be preserved for ongoing or anticipated litigation. In addition, MindServer 5.0 is designed for OEM partners and independent software vendors to embed MindServer enterprise search and categorization capabilities within their products.
MindServer 5.0 provides the ability to identify and find--within the enterprise--potentially relevant and responsive information that must be preserved as part of a litigation hold, a requirement of any legal proceeding. In many enterprise environments, the MindServer platform itself can lock down any document or other piece of information returned in a search query. Otherwise, MindServer 5.0 is able to pass the result set from any query to a separate application, such as a content management system or database, for immediate litigation hold lock-down. In addition, only MindServer 5.0 supports multi-selection filters within the user interface, a prerequisite for detailed searches needed for effective litigation hold. The latest version of the MindServer platform features improved APIs to enable knowledge and content management, email archiving, and ediscovery system vendors to incorporate Recommind's enterprise search functionality into their products, thereby supporting an enhanced platform with differentiated search capabilities.
MindServer 5.0 also incorporates improvements to search relevancy, delivers faster query performance, simplifies integration with Microsoft SharePoint Portal and other existing systems, and provides enhanced reporting capabilities. Some of these features include: an increase in indexing performance; customized connectors for document and knowledge-management products from vendors like EMC/Documentum, LexisNexis, and Microsoft; support for 64-bit hardware; and even higher scalability that supports search parameters across terabytes of information.