ActiveNav Cloud

ActiveNav Cloud is a data discovery and governance platform specifically built for law firms and corporate legal teams (Reston, Virginia). Discovers, classifies, and manages unstructured data across on-premise and cloud repositories at scale. $13.7M total funding — $11M Series A (2019), £6.5M follow-on (2024, led by Gresham House Ventures). ISO 27001 certified, CSA CAIQ assessed, Veracode verified. Azure-hosted with Azure SQL TDE and Azure Disk Encryption at rest, TLS 1.2+ in transit. Recognized in three 2025 Gartner Hype Cycle reports. Finalist in two 2026 Legalweek Leaders in Tech Law Awards. G2 4.5/5 (16 reviews), Gartner Peer Insights 4.6/5 (12 reviews). Named customer: Robinson+Cole LLP (AmLaw 200) — used ActiveNav Cloud to cleanse legacy file shares and implement IG program. Spire Energy legal team uses it for eDiscovery request classification. Government customers include State of Vermont. Strategic partnership with Morae (March 2025). iManage technology partner. CEO Peter Baumann. Covered by Legaltech News (Law.com), Artificial Lawyer, Legal IT Insider, and Above the Law (‘do one thing’ profile, Aug 2025). Spun off Actfore (cyber breach incident response, Oct 2024). Parent company: Data Discovery Solutions. Key capabilities: dark data discovery, ROT cleanup, deduplication, compliance assessment, data scoring and classification, hotspot mapping, Microsoft Teams data collection. Primary users are information governance teams, IT departments, and litigation support — not day-to-day practicing attorneys. Not for solo/small firms — enterprise data governance tool. No public pricing. Help center at support.activenav.com with deployment playbooks.

Company Info

• Founded: ~2012
• HQ: Reston, Virginia
• Sector: Data Governance / Compliance
• CEO: Peter Baumann
• Funding: $13.7M total (Series A + follow-on)
• Parent: Data Discovery Solutions

What We Haven’t Verified

No public pricing available. Specific law firm customer names not disclosed. eDiscovery integration depth (e.g., Relativity feed) not independently verified. AI classification model details not documented publicly. Deployment architecture details beyond marketing claims not confirmed.