AI-driven enterprise data infrastructure platform for legal, compliance, and investigative teams. Hive platform with five modules: Govern (policy enforcement, real-time governance), Insight (data analytics), Secure (data protection for legal data, debuted at NetDocuments Inspire 2025), Transfer (secure data movement), and Discover/Connect (collection and ECA via Relativity AppHub integration). Based in Franklin, TN. 11-50 employees (LinkedIn), 16 employees (profile), 742 LinkedIn followers. ACEDS partnership. eDiscovery Today editorial partnership. Hive Discover listed on Relativity AppHub (RelativityOne compatible). Privately held. Note: Not to be confused with ‘Hey Revia’ (heyrevia.ai) — a different company providing healthcare voice AI.
Company Info
- Founded: 2023
- Team size: 1-10 employees
- Sector: Knowledge Management, Middleware
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Revia AI is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Revia AI addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
eDiscovery costs are insane — traditional vendors charge per-GB processing fees that can hit $100K+ for a single matter, making it economically impossible for small-to-mid firms to run proper discovery
eDiscovery tools require a dedicated specialist to operate — Relativity needs an admin, but most small/mid litigation teams don't have one and need something a paralegal can use after a 30-minute demo
Legal hold notices go out by email, half the custodians ignore them, nobody tracks acknowledgment — six months later a key custodian deleted relevant Slack messages and now there's a spoliation fight
500K documents to review, contract attorneys burning out after 4 hours of screen-staring, nobody knows if the review is consistent across 20 reviewers — and the partner watching the budget bleed
Company gets hit with a litigation hold and half the relevant data is in Slack threads, Zoom recordings, and Google Drive comments — the IT team exports Slack's native JSON dump and hands 4 million messages to legal, who can't search it, can't filter it, and has no way to identify which channels are relevant without reading every single thread
Senior engineer quits for a direct competitor and the company suddenly needs to know which trade secrets that person touched, what confidentiality terms they agreed to, whether offboarding actually shut down access, and what evidence exists before sending a demand letter or seeking an injunction — but the paper trail is split across HR files, NDAs, access logs, and scattered spreadsheets, so the legal case is weaker than it should be
Where it fits in your workflow
Community Data
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