Reveal, a provider of integrated AI-native platforms spanning the eDiscovery and dispute resolution lifecycles, has announced Reveal AI, an agentic suite that unifies capabilities across search and analysis, document review, insights and actions, and case development. Agentic AI marks a step beyond chatbot-style tools that answer one prompt at a time — these systems plan and carry out multi-step work, a shift legal-technology vendors including Relativity, DISCO, and Everlaw have also been racing to bring to their own review and analysis platforms.

The new suite brings together under a single, unified approach the AI technologies and analytics that legal teams have relied on for years, including aji for document review and ASK for fact-finding and analysis. Additional capabilities will continue to be added in the months ahead, including an agentic interface that orchestrates workflows across the entire Reveal product suite, which comprises Logikcull, Reveal Enterprise, Onna, and Reveal Hold. Reveal assembled much of that four-product portfolio through its 2023 acquisitions of Logikcull, a self-service eDiscovery platform, and Onna, a provider focused on collecting data from workplace applications.

Agentic Case Building

The first addition to Reveal's agentic AI suite is agentic case building. Built on ASK's foundation and extending it into autonomous action, Reveal AI can assemble chronologies, surface key facts, and draft deposition materials in a fraction of the time it takes today. From a single plain-language request, Reveal AI plans and carries out the steps, reasoning across the full matter and grounding every result in cited source documents, with an attorney directing and approving the work throughout. That emphasis on cited sources and lawyer sign-off reflects the profession's recent experience with generative AI: US courts have sanctioned lawyers whose filings cited non-existent cases produced by chatbots, and bar associations — the American Bar Association among them — have issued guidance on lawyers' ethical duties, including supervision and verification, when using the technology.

Buyer Demand and Model Choice

Reveal's 2026 eDiscovery Buyers Report found that senior buyers unanimously describe the ability to run proprietary and finely tuned AI models as essential to their eDiscovery operations. Reveal AI is built to meet this need and is organized around three dimensions of choice for legal teams, which can:

• Use their own or preferred large language models rather than being locked into one vendor's choice.
• Run Reveal AI where their work happens, in Reveal's commercial cloud or in their own environment.
• Adopt AI in the way that fits how their organization works today.

Deployment choice carries particular weight in legal work, where client-confidentiality obligations and data-residency requirements often constrain where and how matter data may be processed.

For teams that already work on frontier AI models, Reveal is preparing to publish MCP connectors across its suite — implementations of the Model Context Protocol, the open standard introduced by Anthropic in late 2024 for connecting AI models to external data sources and tools — so customers can reach Reveal's data and workflows directly from the applications they already use, whether Claude, ChatGPT, or others.

End-to-End Orchestration

Looking ahead, the new agentic orchestration layer will extend Reveal AI across the entire product suite. A team states what it needs once, in plain language, and the work is carried out end to end — beginning with legal hold in Reveal Hold and collection in Onna, and continuing through search, review, case development, and production in Reveal Enterprise or Logikcull. There is no moving between tools and no managing each step by hand. Reveal AI will also support organizations that bring their own models and encode their own workflows, letting them build proprietary approaches that yield competitive advantage.

"For years, AI has helped legal teams with tasks like data analysis and document review. The next step is AI that actually does the work, plans it, carries it out, and stands behind it, all under the lawyer's expert guidance and control," said Eric Harmon, CEO of Reveal. "That's what Reveal AI delivers. It starts with the agentic work that shapes a case, expands across the full lifecycle in the releases ahead and runs on the models and infrastructure each team already trusts."

Both the orchestration layer and the MCP connectors are positioned as forthcoming rather than available today, leaving agentic case building as the capability buyers can evaluate now — with the timing and scope of the lifecycle-wide rollout the main thing to watch as the releases arrive.

Source: GlobalFinTechSeries