Reveal has launched Reveal AI, an agentic AI suite designed to automate eDiscovery and case development. Reveal provides integrated AI-native platforms across eDiscovery and dispute resolution lifecycles. The new suite brings together aji, ASK, and new agentic casework capabilities. It also provides unified orchestration across the dispute resolution lifecycle. Furthermore, Reveal AI can operate across different models and infrastructure environments.
Reveal AI combines AI technologies and analytics that legal teams have used for years. These capabilities include aji for document review and ASK for fact-finding and analysis. In addition, Reveal plans to introduce more capabilities during the coming months. The company will also add an agentic interface to coordinate workflows across its product suite. The suite includes Logikcull, Reveal Enterprise, Onna, and Reveal Hold.
Reveal AI Advances Agentic Case Building
Reveal has introduced agentic case building as the first addition to its agentic AI suite. The capability builds on ASK’s existing foundation and extends it toward autonomous action. Reveal AI can assemble chronologies and identify important facts during case development. It can also draft deposition materials in significantly less time.
Legal teams can provide a request using plain language. Reveal AI then plans and executes the required steps. Meanwhile, the system reasons across the complete matter. The platform also grounds each result in cited source documents. Therefore, attorneys can review the supporting evidence behind the generated work. Attorneys remain responsible for directing and approving the work throughout the process.
Reveal’s 2026 eDiscovery Buyers Report highlighted another important requirement for legal teams. Senior buyers unanimously identified proprietary and finely tuned AI models as essential to eDiscovery operations. Consequently, Reveal AI focuses on giving legal teams greater flexibility. The platform provides three dimensions of choice for organizations using AI in eDiscovery.
- First, teams can use their own or preferred large language models. They do not need to rely on a single vendor’s model.
- Second, organizations can run Reveal AI where their work takes place. They can use Reveal’s commercial cloud or operate the platform within their own environment.
- Third, teams can adopt AI according to their existing organizational processes. This approach allows legal departments to integrate AI without completely changing their workflows.
Reveal Expands AI Across the eDiscovery Lifecycle
Reveal is also preparing MCP connectors across its product suite. These connectors will support teams already working with frontier AI models. Customers will be able to access Reveal’s data and workflows through applications they already use. These applications can include Claude, ChatGPT, and other AI platforms.
Looking ahead, Reveal plans to extend Reveal AI through a new agentic orchestration layer. The layer will connect capabilities across the company’s complete product suite.
Teams will be able to state their requirements once using plain language. Reveal AI will then coordinate the work across multiple stages. The process will begin with legal hold through Reveal Hold. It will then continue with collection through Onna.
Afterward, the workflow will move through search, review, case development, and production. These stages will run through Reveal Enterprise or Logikcull. As a result, legal teams will not need to move between separate tools. They also will not need to manage every workflow step manually.
Reveal AI will additionally support organizations that bring their own AI models. The platform will also allow customers to encode proprietary workflows. This capability can help organizations develop specialized approaches for their legal operations. Over time, these approaches could provide competitive advantages.
Reveal Targets End-to-End AI-Powered Legal Workflows
“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.”
With Reveal AI, the company is expanding its focus beyond individual AI-assisted tasks. Instead, Reveal aims to coordinate complete eDiscovery workflows through agentic AI. The approach combines automated planning, investigation, analysis, and execution. At the same time, attorney oversight remains central to the workflow.
The planned expansion will cover additional stages of the dispute resolution lifecycle. Therefore, Reveal AI could provide legal teams with a unified environment for managing AI-powered eDiscovery work.
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News Source: Businesswire.com
