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About
Reveal combines advanced AI and machine learning with a comprehensive eDiscovery workflow to help legal professionals process, review, and analyze massive volumes of data efficiently. Its technology leverages natural language processing and predictive coding to surface relevant documents faster, reduce review costs, and improve accuracy compared to traditional linear review methods. The platform supports the full EDRM (Electronic Discovery Reference Model) lifecycle—from data ingestion and processing through review and production. Key capabilities include AI-assisted document review, conceptual clustering, email threading, near-duplicate detection, and advanced analytics that help teams prioritize high-value documents and identify key facts quickly. Reveal serves a broad range of legal markets including corporate legal departments managing internal investigations, Am Law 200 firms handling complex litigation, legal service providers running large-scale review projects, and government bodies managing regulatory matters. Its cloud-based infrastructure is built to scale from small matters to multi-terabyte enterprise cases.
Key Features
- AI-Assisted Document Review: Predictive coding and active learning models continuously rank documents by relevance, allowing reviewers to focus on the most important materials first and dramatically cut review time.
- Advanced Analytics & Clustering: Conceptual clustering and email threading group related documents automatically, helping teams understand case themes and communication patterns without manual sorting.
- Near-Duplicate & Duplicate Detection: Automatically identifies near-duplicate and exact-duplicate documents so reviewers can code families consistently and avoid redundant effort across large data sets.
- Full EDRM Lifecycle Support: Covers the entire eDiscovery workflow from data processing and culling through review, analysis, and production, eliminating the need for multiple point solutions.
- Scalable Cloud Infrastructure: Cloud-native architecture handles matters ranging from small internal investigations to multi-terabyte enterprise litigation without performance degradation.
Use Cases
- Managing large-scale litigation document review
- Conducting internal corporate investigations
- Government regulatory inquiry data analysis
- Legal service providers running multi-client review projects
- Early case assessment to evaluate litigation risk
Pros
- Significant Cost Reduction: AI-driven prioritization and early case assessment reduce the volume of documents requiring human review, which directly lowers outside counsel and contract reviewer spend.
- Broad Market Coverage: A single platform supports corporate legal, law firms, LSPs, government, and education, making it versatile across different organizational structures and matter types.
- End-to-End Workflow: Handling processing through production in one environment reduces data handoffs, vendor dependencies, and chain-of-custody complexity.
- Defensible AI Methodology: Predictive coding workflows are designed with legal defensibility in mind, providing audit trails and statistical validation that courts and regulators increasingly accept.
Cons
- Enterprise Pricing: Reveal is positioned as an enterprise eDiscovery solution; pricing is not publicly listed and is likely cost-prohibitive for small law practices or solo attorneys.
- Learning Curve for AI Features: Getting the most from predictive coding and active learning requires trained reviewers or project managers familiar with Technology Assisted Review (TAR) workflows.
- Niche Use Case: The platform is purpose-built for legal discovery and is not suitable as a general document management or knowledge management tool outside the legal and compliance context.
Frequently Asked Questions
What types of organizations use Reveal?
Reveal is used by corporate legal departments, law firms, legal service providers (LSPs), government agencies, and educational institutions that handle eDiscovery matters.
Does Reveal use predictive coding (Technology Assisted Review)?
Yes. Reveal's AI engine includes predictive coding and active learning models that rank documents by relevance, enabling courts-accepted Technology Assisted Review workflows.
Is Reveal a cloud-based platform?
Reveal operates on cloud-based infrastructure, allowing it to scale for both small matters and large multi-terabyte cases without requiring on-premises hardware.
What eDiscovery phases does Reveal support?
Reveal supports the full EDRM lifecycle, including data ingestion, processing, culling, review, analysis, and production, functioning as a single end-to-end platform.
How is Reveal priced?
Reveal does not publish pricing publicly; it is an enterprise solution and pricing is typically negotiated based on data volume, user count, and matter complexity. Prospective buyers should contact the sales team for a quote.
