Discernis Discovery is an AI-native document review platform for legal discovery, built using AI models developed by Discernis rather than tools adapted from legacy e-discovery systems.

Key Features & Functions:

Real-Time AI Analysis
Documents are analyzed using AI applied during data ingestion rather than after the fact, with the goal of reducing the time needed to reach actionable review insights.

Intelligent Classification
Documents are classified based on contextual meaning rather than keyword matching, with the aim of reducing false positives and surfacing documents that keyword searches might otherwise miss.

Automated Document Review
The platform evaluates documents against review protocol questions entered by the user, then sorts and prioritizes documents to support first-pass and subsequent review.

Privilege Detection
The platform is designed to identify attorney-client privileged communications within a document set.

Export and Reporting
Users can export responsive documents, AI-generated tags, scores, and explanations, along with loadfile, .dat, or csv formats.

Flexible Deployment
Discernis Discovery can be deployed in cloud, hybrid, or on-premises environments. Data is hosted by default in a US-based Azure cloud environment, with other cloud providers and regions available on request.

Per-Matter Pricing
Pricing is structured on a per-matter or annual basis rather than through per-gigabyte, per-user, or storage-based fees.