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Review Platform

Last updated: 2026-03-23

A review platform (also called a document review platform or e-discovery review tool) is software built for legal teams to organize, search, review, annotate, and produce large volumes of documents and electronically stored information during litigation and investigations. It serves as the central workspace for the Review and Production stages of the e-discovery lifecycle.

What is a review platform?

A review platform is purpose-built to handle the unique demands of legal document review. Unlike general-purpose document management systems, review platforms support litigation-specific workflows: tagging documents for relevance and privilege, applying redactions, stamping Bates numbers, managing custodian assignments, and exporting production sets that comply with court requirements.

The evolution of review platforms mirrors the growth of electronic discovery. Early platforms were on-premises installations that mainly displayed TIFF images. Modern platforms are cloud-based. They support native file viewing, integrate AI-assisted review, and offer collaboration features for distributed legal teams. Choosing the right review platform matters because it directly affects review speed, cost, and defensibility.

"By signing [a discovery response], an attorney certifies that the disclosure is complete and correct as of the time it is made."-- Federal Rules of Civil Procedure, Rule 26(g)(1)

The review platform market

  • The global e-discovery market was valued at $14.3 billion in 2023 and is projected to reach $28.1 billion by 2030, according to Grand View Research.
  • Document review remains the single largest cost in e-discovery, accounting for an estimated 73% of total spending according to RAND Institute for Civil Justice research.
  • Cloud-based review platforms have become the dominant deployment model, replacing on-premises installations for the majority of law firms and legal departments.
  • AI-assisted review features, including predictive coding and technology-assisted review, are now standard capabilities in modern review platforms.

Hintyr as a review platform

Hintyr is an Agentic Document Review platform purpose-built for small and mid-size law firms. Unlike traditional review platforms that rely entirely on manual workflows, Hintyr combines standard review capabilities with an autonomous AI agent that can perform analysis, search, and review tasks on command. Get started with the getting started guide.

Key capabilities include AI-powered search and document analysis through the AI agent, redaction with multiple methods including keyword and AI-driven redaction, Bates numbering with automatic and manual modes, TAR validation for defensible review workflows, and complete production workflows for exporting documents in court-ready formats.

Frequently asked questions

What makes a review platform different from a file sharing service?
Review platforms include legal-specific features such as Bates numbering, privilege tagging, redaction, production exports, and audit trails that general file sharing services do not offer. They are designed to meet the procedural and defensibility requirements of litigation.
Do I need a separate tool for processing and production?
Many modern review platforms, including Hintyr, handle processing, review, and production in a single platform. This eliminates the need to transfer data between separate tools and reduces cost and complexity.
What is agentic document review?
Agentic document review uses autonomous AI agents to perform analysis tasks traditionally done by human reviewers. In Hintyr, the AI agent can search documents, answer case questions, apply Bates numbers, and perform redactions, with human oversight on all actions.
Is a cloud-based review platform secure enough for litigation?
Yes. Modern cloud review platforms use encryption at rest and in transit, role-based access controls, and audit logging to meet the security requirements of legal work. Hintyr provides organization-level access controls and per-case member permissions.

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