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eDiscovery Software Vendor Growing Pains

Problem:: A SaaS legal discovery vendor launches a new product that takes off in the market far quicker than they expected and they aren't prepared to manage and support the growth. Unless they can manage the product's growth, they face the threat of booming operational costs from non-scalable search technology that will use up many more servers than they're prepared to pay for. They also need to reassure customers that they can provide an instantaneous and relevant search experience that lives up to their reputation for innovation.

Solution:: Embedded AIE is a purely Java-based OEM search solution with great out-of-the-box relevancy for structured and unstructured data and doesn't need a lot of tuning. It installs cleanly and requires zero to low integration effort and minimal training. AIE has a core footprint smaller than 20M, whereas conventional search systems are more than 60 times that size. AIE processes over 100 million documents per server, enough to reduce server needs by almost 80%. With AIE they don’t have to buy all the hardware up front but instead add it as the system expands, without having to re-index. AIE also does not limit the number of returned results, which means that collecting every last document for eDiscovery is much less tedious than expected.

OEM/Embedded Compliance Solution

Problem:: A well-known media company needs to audit all the content in their organization on a regular basis to see if any information breaks corporate privacy rules (e.g., PCI, PII).

Solution:: A recognized leader in solutions for safeguarding data and applications for Governance, Risk Mitigation and Compliance, turns to Attivio for added functionality to conduct regularly scheduled audits of all data: structured, unstructured, and multi-media. The audits search for privacy breaches based on a set of rules. When a breach occurs, a compliance officer is notified.

Problem:: A network file system vendor needs a search engine they can bundle with their product that will provide search across the complete library of documents in their clients’ NFS implementations. Because this is an OEM arrangement, the search engine's footprint and document density capability (how many documents can fit in the search index on a single computer) are extremely important to their total cost of ownership.

Solution:: AIE becomes the search experience embedded in their solution. Initial pilot has indexed > 102M documents per conventional server. The small footprint (< 20Mb) of Embedded AIE means the solution does not grow egregiously in size.