Maveria is the independent verification and privilege-protection layer that sits on top of the e-discovery platform your counsel already uses.
The value didn't disappear when AI review went free — it moved. From doing the review to being able to defend it. When a model misrepresents a document, that error cascades into wrong coding decisions across the whole matter. In litigation, "rarely wrong" means wrong in the case that ends a career.
GenAI coders generate summaries and rationales that read fluently and sometimes aren't supported by the document. Reviewers code off those summaries. One unsupported claim quietly propagates across thousands of decisions.
Dual-purpose advice, forwarded chains that break privilege, third parties that destroy it. A general-relevance model is not conservative enough for the one call where being wrong is a waiver — and no GC bets that on a feature buried in their counsel's platform.
Under FRCP 26(g)'s "reasonable inquiry" standard, the question is: how do you know the documents you withheld were correctly classified? Most teams can't answer with a statistically valid protocol — they can only point at the discard pile and hope.
"Relativity can't credibly validate Relativity's own AI. The vendor grading its own homework is not a defense you take to a judge. Independence isn't a feature an incumbent can ship — it's the whole product."
See where an independent verification layer sits against the alternatives teams reach for first.
Mapped to where AI made discovery riskier — coding quality, privilege, and the record itself.
An independent QC engine on the AI's coding — run statistically, not on vibes.
A dedicated pass far more conservative than any relevance model — the wedge.
One immutable, exportable artifact per matter — the thing you attach to a declaration.
Maveria connects through platform APIs and works on coding decisions, model outputs, and sampled subsets — never your full corpus.
Links to your workspace on RelativityOne, Everlaw, DISCO or Reveal. No migration, no rip-and-replace.
Decides what to pull — null-set samples and high-risk privilege candidates — as review progresses, not just at the end.
LLM reasoning for privilege and hallucination + classical statistics for the validity math, in a per-matter no-retention enclave.
The Defensibility Record store — your system of record for process defensibility, exportable on demand.
Building Maveria as the independent trust layer for AI-driven discovery — owning privilege as the wedge and selling to the buyer who actually carries the risk. Reach out to talk about your next matter.
Connect on LinkedInStart with one matter on whatever platform your counsel already uses. We'll run privilege protection and hand back a defensibility record — no migration, no risk to your stack.