Case Study: Paradigm eDiscovery Solutions achieves dramatic increases in review efficiency and accuracy with Reveal

A Reveal Case Study

Preview of the Paradigm Case Study

How Paradigm Used Reveal to Dramatically Increase Review Efficiency & Accuracy

Paradigm, an eDiscovery solutions delivery practice, faced a large, complex legal matter with roughly 3.7 million documents that made manual review slow, error-prone, and hard to prioritize. Paradigm needed modern filtering, document scoring, and AI model training capabilities to de-prioritize low-value data and surface case-specific concepts (like change orders or potential coercion) without extensive subject-matter expertise.

Reveal provided a centralized platform with document filtering and scoring, pre-built and custom AI models, concept search, interactive visualizations, and collaboration tools. Using Reveal, Paradigm automated filtering and scoring, improved review accuracy with pre-built models, accelerated team collaboration, and gained deeper case insights—resulting in significantly increased team efficiency, reduced manual review time, improved accuracy, and better legal outcomes.


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