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Logikcull for Public Records: A Practical Series for Faster Records Response
eDiscovery Buyers Report 2026
Why Private Deployment Is the eDiscovery Priority
eDiscovery buyers won’t choose between AI and control over their data. Private deployment built for AI agility is now the priority for large legal teams.
With widespread AI adoption and vendor consolidation, eDiscovery deployment sits at a crossroads. AI has rapidly moved from experimentation to operational priority. Relativity’s roadmap puts a countdown clock on the infrastructure where many active matters still reside.Buyers must weigh both situations simultaneously and make decisions now that will have ramifications for years to come.
The survey clears up how they seek to resolve this tension. Buyers have strategically refused to choose between access to AI and control over deployment; they want both. They demand AI model choice unanimously, already run nearly half of all matters in private deployments, and expect that share to climb, which is why most view the decision of their primary vendor toremove that avenue skeptically.
All the while, organizations face skyrocketing eDiscovery costs, and that’s before the
expected deluge of AI-driven data growth.
Read together, these findings assert that the next generation of eDiscovery infrastructure hinges on buyers retaining deployment flexibility. Organizations want to tailor their technology use to the option that best serves their needs, and they want to preserve flexibility as regulations diverge, costs climb, and AI models evolve. Buyers who surrender it inherit someone else’s roadmap and someone else’s timeline.
About Reveal Private Deployment
These findings make clear that private deployment architected for AI agility has
become the priority for large eDiscovery buyers. Reveal Private Deployment (RPD) was built for that reality.
RPD treats AI agility and data control as mutually reinforcing factors rather than competing ones. On this platform, legal teams run modern AI on infrastructure they govern, meeting the regulations each matter demands, while maintaining full parity and portability across Reveal’s SaaS offering.
With Reveal AI capabilities for assisted first-pass review, fact-finding and data analysis, the 60% of eDiscovery teams actively or aggressively pursuing AI adoption can seamlessly implement it into their workflows. Teams, therefore, don’t have to sacrifice AI adoption goals on the 46% of matters that require private deployment, a sharp 91% of respondents report is already increasing.
Plus, AI model choice stays with the customer. RPD supports multiple commercial AI models alongside proprietary and fine-tuned ones, so teams can run the best-in-class LLM as the field evolves and build their own advantage on top of it.
RPD is built for teams with the future in mind. The architecture anticipates where the work is going, and we built and are building for agility. Agentic workflows reward platforms that retain the flexibility to adopt new AI models and automate without complex migrations. That’s RPD.
Reveal Private Deployment is an investment in competitive agility.
To learn more about how Reveal Private Deployment is the next generation of eDiscovery infrastructure, visit revealdata.com/rpd
Chapter 1
Executive Summary
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All the data from 200 senior buyers on AI adoption, private deployment, cost and portability, plus the ACEDS industry pulse survey.