Reveal introduces Reveal AI: agentic eDiscovery from preservation to case development

If you run eDiscovery through Reveal for your team, you have been working with our AI for years. It helps you review documents, surface patterns, and speed up analysis. But the work of shaping a case still lands on you: pulling the threads together, moving between tools, directing every step by hand.  

Today, that changes. Reveal is introducing Reveal AI, an agentic AI suite that spans the dispute resolution lifecycle, from preservation and collection through search, review, case development, and production, and runs on the models and infrastructure each team already trusts.

From one task in one tool to multi-step tasks across tools

Reveal AI brings together the AI and analytics legal teams have relied on for years, including aji for document review and ASK for fact-finding and analysis, and extends them into autonomous, agentic work that spans beyond traditional eDiscovery work and helps with building the case.

"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."

What agentic case building does

The first capability in the suite is agentic case building. From a single plain-language request, Reveal AI plans the steps and carries them out, such as building chronologies, surfacing key facts, and preparing deposition materials in a fraction of the time. It reasons across the full matter and grounds every result in cited source documents, with an attorney directing and approving the work throughout. You stay in control of the case. The AI does the assembly.

Choice at the core

Agentic capabilities matter only if they fit how your team actually works. Reveal AI is built around three dimensions of choice: run your own or preferred large language models rather than being locked into one vendor's pick, work in Reveal's cloud or your own infrastructure, and adopt AI in the way that suits your organization today. Our 2026 eDiscovery Buyers Report found that senior buyers consider the ability to run proprietary and finely-tuned models essential to their operations. This is how Reveal AI meets that need.

What comes next

Reveal AI will keep expanding through Q4 of 2026 and into 2027. An agentic orchestration layer will carry a request end to end across the product suite: state what you need once, in plain language, and the work runs from preservation and legal hold in Reveal Hold and collection in Onna through search, review, case development, and production in Reveal Enterprise or Logikcull. This will mean you won’t need to learn and operate each tool separately or run each step by hand. Reveal is also preparing to publish MCP connectors across the suite, so teams can reach Reveal's data and workflows from the applications they already use, whether Claude, ChatGPT, or others.

See it soon

Reveal AI, including the new agentic case strategy capabilities, will be available soon in Reveal Enterprise and Logikcull, with the orchestration layer and MCP connectors following in the releases ahead. To see where agentic eDiscovery is headed, visit revealdata.com/reveal-ai or request a demo.