Servient is built on a true Big Data platform that provides massive scalability for intelligent management of today's unstructured data stores. Servient permits companies to quickly process unstructured data into the Servient archive and blends search with machine-learning workflows to discover knowledge and automatically organize the data.
Servient’s proprietary ensemble-based machine learning technology is proven; the result of years of development and real-world application. Servient implements the machine-learning in a transparent manner that provides for statistical validation.
Servient’s architecture is built upon modern “Big Data” technologies including Hadoop, HBase and SOLR Cloud. The platform easily scales to meet the challenges associated with the ever-increasing volume of unstructured data faced by the enterprise.
Servient’s interface fits seamlessly into knowledge discovery workflows. Servient allows the user to harness the power of its advanced machine learning through an intuitive and familiar user interface.
The Servient eDiscovery and Compliance solution leverages machine learning and big data technologies to offer an extensive set of features to handle internal investigations, regulatory inquiries and eDiscovery matters.
Easy to use with advanced machine learning and efficient workflows. Servient allows our firm to handle cases of any size. Servient's machine learning was integral in helping secure a $50M verdict in a case involving millions of documents.
Brad Copenhaver
Partner, Vezina, Lawrence & Piscitelli
We are delighted with the capability that Servient is demonstrating and the benefits it’s delivering for our clients. Linklaters has always embraced new ideas and technologies that enable us to provide a best in class service and the launch of this service is a real embodiment of that aspiration.
Ben Carroll
Dispute Resolution Partner, Linklaters
I have seen many of the products on the market and I believe Servient offers some of the best, most effective tools.
Brian E. Calla
Member, Eckert Seamans
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