Intelligent Metadata Enabled Solutions for eDiscovery and Litigation Support

Dramatically improve search speed and accuracy, with search technologies that aggregate concepts, topics, subjects, and unknown relationships in your unique corpus of content.

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eDiscovery and Litigation Support

eDiscovery and litigation support costs continue to soar. It is no longer feasible to reduce costs when the consumption of information is overwhelming. High risk is a reality. Agility can be achieved by eliminating ineffective processes and erroneous, inaccurate search results. Compound term metadata generation, auto-classification, vocabulary normalization, and the identification of multi-term concepts enable topics, subjects, and relationships to be part of automated processes.

  • The Concept Searching Difference

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    Information governance

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    Precise and relevant results

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    Accurate, accessible, trustworthy content assets

    eDiscovery and litigation support are dependent on finding the information you need and trusting it. Costly, subjective, and manually intensive, finding all related ESI is challenging. Concept Searching eliminates complex algorithms, keyword searches, and identifies concepts, topics, subjects, as well as inter and intra related content that most likely would never be found. Easy-to-use, minimal training required.

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    Do you feel that search related to eDiscovery and litigation support is not delivering business value, reducing risk, or improving decision making?

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    Are you certain that relevant content assets related to a case are being found and used to your advantage?

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    Would greater transparency and oversight assist in balancing quality and cost control with compliance?

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    Do you believe you have a solid, all-encompassing, strategic and operational information governance plan that achieves your organizational goals?
    Key Benefits

    Key Benefits

    The legal industry is experiencing the strain of managing and tracking every content asset that may be used during litigation. Automatic extraction of multi-term conceptual metadata and classifying key documents by type, subject or custodian, reduce costs, risks, and time.

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    • Eliminates end user tagging and replaces it with multi-term metadata that represents a concept
    • Finds hidden relationships between content and identifies relevant information that may not contain the search criteria
    • Supports multiple search techniques, eliminates repetitive searches, provides navigational aids
    • Reduces the time spent aggregating content from diverse information repositories residing on-premises, off-site, or in the cloud
    • Can be used to develop and deploy a comprehensive information governance plan to address records management and compliance