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The Private Cloud Alternative to Legacy On-Premises eDiscovery Platforms

Legacy on-premises eDiscovery platforms are aging, and vendor investment is shifting decisively toward SaaS, widening the capability gap for organizations that can't or won't move to multi-tenant cloud. This whitepaper gives your IT, legal technology, and operations teams everything they need to assess Reveal Private Deployment (RPD) as a replacement.

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The End of the Legacy Server Era

Legacy on-premises eDiscovery platforms are approaching an inflection point. Vendors have been executing deliberate transition strategies to move customers from on-premises deployments to SaaS, and the AI features, analytics, and workflow innovations they're delivering aren't available in on-premises versions. For organizations that cannot or will not migrate to a multi-tenant SaaS model, this capability gap is not just inconvenient, it's operationally significant. Reveal Private Deployment gives those organizations an alternative with:

1
Full feature parity - Reveal RPD runs the identical codebase as Reveal's SaaS environment. Every AI model, analytics capability, and processing function is included. No cloud-only carve-outs.
2
Infrastructure you control - Deploy on AWS, Azure, private cloud, or bare-metal. Reveal RPD supports sovereign and air-gapped environments with full data residency control and no multi-tenant exposure.
3
Predictable, recoverable costs - Reveal RPD's licensing model doesn't escalate with data consumption. For service firms, infrastructure costs are directly allocable to matters as recoverable costs.

90%

Reduction in first-level manual review via GenAI aji engine

75%

Less time on investigative analysis with pre-built AI model classifiers

4x

Faster doc-to-doc review navigation vs. leading competitor

A complete technical and operational evaluation guide

This whitepaper is written for the IT leaders, legal technology directors, and eDiscovery operations teams evaluating Reveal RPD as a replacement for a legacy on-premises eDiscovery platform. Inside you will see:

Platform architecture and AI capabilities

RPD's Kubernetes-orchestrated, containerized architecture delivers the complete Reveal AI stack in a privately deployed environment, including aji for GenAI-powered first-pass review, conversational Ask search, and 12 patented visual analytics technologies.

System requirements and implementation steps

Production-grade infrastructure specifications across computing, storage, networking, databases, identity, and security tooling. Plus Reveal's five-phase implementation methodology from discovery and design through to go-live and stabilization.

Migration considerations and ROI analysis

A practical guide to how Reveal's Case Migration Team manages data, workflow translation, and user transition from a legacy eDiscovery server. Paired with a four-dimensional cost comparison against consumption-based SaaS pricing across licensing economics, infrastructure, operational overhead, and AI-driven efficiency gains.

Download the Whitepaper

Get the technical detail your evaluation requires

The complete guide for law firms and global advisory organizations assessing Reveal Private Deployment as a replacement for a legacy on-premises eDiscovery platform, from architecture and system requirements all the way through to migration planning and ROI. This whitepaper covers:
Full AI stack overview: aji, Ask, visual analytics, AI Model Library, and sentiment analysis
Production-grade system requirements and five-phase implementation methodology
Head-to-head cost and ROI analysis vs. consumption-based SaaS pricing across four dimensions

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