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A Deep Dive Into Predictive Review

A Deep Dive Into Predictive Review

Explore the Process and Technology Required for Defensible Review in an Adversarial Setting.

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White papers

Practical Uses of Active Learning Technology to Improve the Quality of E-Discovery and Control Costs.

The ever increasing volume of data that lawyers must handle in litigation requires the legal profession to evolve beyond the current e-discovery process. The process of applying a simple keyword filter followed by linear review simply does not to meet the challenge of today's e-discovery.


Case-Centric Search and Sampling Protocols. The Key to Defensible Search and E-Discovery Cost Containment.

Use of a defensible search and sampling protocol has emerged as the number one way to control the cost of e-discovery. An iterative search process that allows for continual query refinement and repeated sampling achieves the best results and delivers the most effective cost containment. This White Paper presents a strategy we refer to as a "Case-Centric" protocol which follows a tried and true legal analysis approach to the design of appropriate searches and validation of the results through statistical sampling.


Case Studies

Servient helps guide a client over a mountain of data

In response to requests from federal regulators, a global corporation was challenged with finding responsive documents within 30 terabytes of data. This case study outlines how Servient's E-Discovery Platform was utilized to help the client create an efficient process that saved $2 million.


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