eDiscovery and FOIA within the Public Sector
eDiscovery and FOIA support costs continue to soar as do the amount of cases. It is no longer feasible to reduce costs when the consumption of information to evaluate is overwhelming. High risk is a reality. Agility can be achieved by eliminating ineffective processes and erroneous, inaccurate search results. Through compound term metadata generation and auto-classification, identification of multi-term concepts, topics, subjects, relationships, and vocabulary normalization are all automated processes.
The Concept Searching Difference
Precise and Relevant Results
Accurate, Accessible, Trustworthy Content Assets
ESI and FOIA processing are heavily content centric. With content being consumed at an accelerated rate, it is becoming almost impossible to know and understand what is in your corpus of information, let alone rely on it for decision making. Both processes are dependent on human performance and productivity, becoming a costly resource to support each initiative. Neither ESI nor FOIA will ever be totally automated but it is possible to significantly reduce the burden and therefore the associated time and costs by deploying technologies that identify the subjects, concepts, and topics that reside within the content to facilitate the processes. The ability to find related and inter-related content, even if the search criteria was not found, protects the organization by finding key pieces of content that would typically never be found.