RE’s Electronic Discovery preparedness and response solution dramatically reduces litigation costs and risk by enabling an enterprise to proactively manage its documents. When a litigation or investigation arises, Rational Governance has consistently applied its retention policies, decreasing the risk of reputational harm associated with failing to properly maintain documents. Furthermore, the system can centrally and immediately execute broad legal holds in place, reducing the risk of spoliation. Once held, in-house counsel can quickly begin to identify and analyze all implicated documents to immediately assess the scope of a matter and the company's exposure without the need to collect a single document.
Collection into RG’s full-featured litigation repository, Rational Review, (either hosted or installed) is seamless. This connection eliminates the often clumsy, error prone, time-consuming, and expensive loading processes. RG offers a less disruptive, less expensive, more complete, and more expeditious method for responding to discovery. Because outside counsel can begin their work sooner and conduct it more effectively by having continual access to enterprise data, collection costs are eliminated and discovery and other legal costs are reduced because a smaller and more targeted volume of documents are collected. RG also enables an enterprise to search its various litigation repositories to ensure that all data relevant to any new dispute is included.
RE Electronic Discovery also includes Rational Analytics, the most accurate, cost-efficient, and defensible text classification and predictive coding technology available today. RA is integrated directly into both RG and RR and further reduces litigation costs while increasing the quality of lawyering. Documents are automatically reviewed by this sophisticated technology using a small, representative sample of coded documents; our algorithms then calculate a statistical model that can be applied to code the balance of the corpus. In RG, this technology can be used in place to ensure both the accurate classification of documents into policies and the collection of truly relevant documents; in RR, the technology provides improved review accuracy with massive reductions in time and cost compared to manual review.