Servient: A Streamlined Electronic Data Delivery

Ian Wilson, Founder & CEO
The global eDiscovery revenue is projected to cross the $2 billion mark in 2016, coming along from the $976 million in 2012. This study by the market research firm, Radicati, credits a 24 percent growth to the intervention of new entrants into the eDiscovery game. Attributing to this is their ability to power law firms with cloud, advanced data analytics, and information governance practices. Along these lines, Servient, with its decade long experience, develops software to manage the ever-increasing data volumes involved in legal matter.

Leading the development and delivery of Servient’s streamlined e-discovery solutions, Ian Wilson, Founder and CEO, Servient says, “Today the increasing cost of e-discovery and the growing volume of data that lawyers are facing are result in movement towards more cooperative processes.” The Houston, TX headquartered eDiscovery provider delivers cutting-edge solutions addressing security concerns, at the same time continuing to stay affordable. Immediately deployable, Servient facilitates law firms with the power of the cloud to resolve complex e-discovery challenges.

Importing data is the first rung in the data ladder and Servient has proficient automated data ingestion models that enable data to be imported directly from predominant sources such as Office365, Exchange 2013, and SharePoint 2013, processed and is then made available to front-end applications. Servient enables law firms to streamline the management process by covering the acquired data and its sequence of functions—processing, search, culling, tagging, and providing easy integration of advanced analytics.

Clients entrust confidential data to law firms and it is up to the law firm to account for the security and irrefutability. Servient helps law firms to render their point of focus on their clients and law, by eliminating the hassles of managing and maintaining complex data structures. It provides enterprise-grade security measures, which exceeds standard security levels through persistent monitoring and impregnable perimeter protocols.

Extolling Servient’s manifold features, Wilson states, “companies are paying approximately $8 billion a year for lawyers to review irrelevant documents and as a profession, we can do it better”.

By placing the needs of clients first and evaluating how our combined core competencies can bring next-generation value to the marketplace, we are able to deliver greater efficiency

In one such instance, a global corporation was wedged in a legal spot where they were required to produce 20 terabytes worth of documents, which roughly translated into eight million disparate files. Lack of better options led them to choose Servient for its advanced analytics capabilities. Servient’s real-time search filtering paradigm migrated the entire data set on Hadoop, thereby allowing the legal team to design, refine, and review the data to derive their desired outcome. By limiting the dataset to 200,000 files, Servient helped the firm by saving more than $2 million of regulatory readiness expenditure.

“By placing the needs of clients first and evaluating how our combined core competencies can bring next-generation value to the marketplace, we are able to deliver greater efficiency,” notes Wilson.

Many notable mergers and acquisitions records have been surfacing around the eDiscovery domain recently. This only points towards the trending significance of attaining accuracy in electronic data manipulation and analytics. Servient is no different from this; with its feature-rich contextual interface, they are always ahead of the curve, innovating newer solutions outwitting their own performance. Paraphrasing Wilson, it is elementary to measure the effectiveness of one’s current process to improve quality and efficiency. “Without measurement, we cannot evaluate the effect that new technology and process changes will deliver,” advocates Wilson.


Houston, TX

Ian Wilson, Founder & CEO

Provides massive scalability for intelligent management of unstructured data stores through big data platform