ReviewPartner is a cloud-based document review platform that applies large language models and reasoning models to large-scale legal document review, following a structured, four-stage process: protocol development, sample validation, document review, and completion and reporting.

Key features and functions include:

Responsive Review
Identifies documents matching discovery requests, legal issues, or investigative criteria.

Privilege Review
Analyzes documents for attorney-client privilege, with documented reasoning for each determination.

Specialized Review
Supports custom review protocols, including client identification, confidential information flagging, fact extraction, and visual analysis of images and logos.

Continuous Active Learning
Uses a prioritization algorithm to rank documents by relevance probability, processing large document sets rapidly and, in many cases, identifying responsive material after review of a fraction of the full collection.

AI Review Architecture
Runs parallel processing across a large number of AI reviewers simultaneously, applying consistent judgment across a document collection. Includes multilingual processing without separate workflows, and is designed to limit hallucination through reasoning models and instructions that constrain determinations to the provided documents.

Validation and Documentation
Applies statistical validation of accuracy at key review stages, includes elusion testing for prioritized reviews, and produces complete documentation of final review protocols and AI reasoning.

Security and Compliance
Each client operates in a fully isolated, single-tenant AWS environment, with data encrypted in transit and at rest (TLS, AES-256). Role-based access controls and audit logging track user activity across the platform, and client environments can be deployed in specific AWS regions to support global hosting and data residency requirements, including GDPR, HIPAA, CCPA, and CPRA compliance.