Rational Analytics is the most accurate, cost-efficient, and defensible machine-learning-based text classification and predictive coding platform available today.
Documents can be reviewed by Rational Analytics as an alternative to contract attorney review. A handful of knowledgeable attorneys review a small, representative sample of documents. RA’s algorithms enable the system to codify the intuition, judgment, and decision processes of these smart lawyers into a statistical model, and then automatically apply that model across a broad set of data. Each model is completely customized for the issue and the dataset at hand.
RA is not limited to coding for responsiveness and privilege – subject-matter experts can train the system for any relevant issue. Once a model is run against the entire corpus of available documents, the population is winnowed down to a manageable size for more senior lawyers to review.
The result is a more accurate, more consistent, faster document review, conducted at a fraction of the expense of manual review – thereby increasing the quality and value of lawyering. By providing transparency into the document characteristics learned by the engine as well as experts to testify to the validity of the process, our tool provides companies, their lawyers, and courts unparalleled confidence in its level of defensibility.
RA is integrated directly into Rational Review, but can also accept data from a variety of sources, including all of the primary e-discovery review platforms.
Rational Analytics is tightly integrated with Rational Governance. Using only a small training set of the company’s own documents, RA can automatically classify content into any policy that exists in RG.
For retention, an enterprise can take the onus of classifying documents off its employees. Through RA, the system can be taught to identify which documents need kept; RG policies define where and for how long they must be retained while RG’s built in content control engine allows documents to be preserved in place or automatically moved to a records management system.
In the same manner, RA can automatically alert RG administrators to the existence of problematic communications, or automatically move documents containing sensitive information to more secure locations.
With Rational Governance installed, all corporate content can be searched, preserved, predictively coded via RA, and then collected. By applying Rational Analytics’ integrated machine-learning tools directly to content in place, we ensure that only truly responsive data is collected, therefore dramatically changing the economics and timeframes of e-discovery for litigation or investigation.
Big Data Analytics
The explosion of data created by and available to the enterprise presents an unprecedented opportunity for new insights into to the business environment, the mind of the customer, and the operations of the organization. Rational Analytics’ predictive modeling tools enable the analysis of potentially millions of variables to discover the key components and relationships driving complex systems and behaviors.
RA is able to customize the algorithms at its disposal to answer any number of important business questions and help organizations gain valuable insights into how to enhance value, including market analysis, customer and competitor profiling and behavioral analysis, staffing, company culture, employee satisfaction and productivity, performance management, implicit and explicit decision-making, and a myriad of other management and operational insights.
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