Valerant scores document relevance, flags privilege, automates custodian collection, and generates defensible privilege logs — work that takes junior associates weeks, in minutes, with a full chain of custody.
In a mid-sized litigation matter, document review can consume 70% of total discovery cost — almost all of it billed at junior-associate rates for work that is fundamentally pattern recognition.
The standard billing rate for first-pass tagging — relevance, privilege, and issue coding — at most U.S. firms.
A single custodian's mailbox in a mid-size matter routinely produces tens of thousands of documents to review.
Relevance scoring, privilege flagging, and a draft privilege log are produced for the same set — ready for attorney sign-off.
Valerant covers the discovery pipeline from collection to production — every action timestamped, hashed, and logged for defensibility.
Transformer-based models score every document against your matter's issue tags, with a confidence score and plain-language reasoning an attorney can verify in seconds — not re-derive from scratch.
Automated collectors pull from email, chat, cloud storage, and devices, preserving native metadata and generating a hash-verified collection manifest the moment data leaves the source.
Privilege candidates are flagged, classified by basis (attorney-client, work product, joint defense), and compiled into a draft log formatted for production — attorneys review and approve, not build from zero.
Every collection, transfer, review action, and redaction is recorded in an immutable audit log — exportable as a defensibility report for opposing counsel or the court.
Built around the seven-stage standard discovery pipeline — without the handoffs between five different vendors.
Custodian sources are identified and pulled automatically with a verified manifest.
Date ranges, keywords, and custodians narrow the set before review begins.
Relevance, privilege, and PII are scored with reasoning attached to each call.
Attorneys confirm AI calls on the documents that matter most — nothing ships unreviewed.
A formatted draft log is generated for every withheld or redacted document.
PII and privileged content is redacted in-platform — no export to third-party tools.
Final sets are exported in the format required by FRCP 34(b)(2)(E) and your protocol.
Every step above writes to one immutable log, from first collection to final production.
Divanshu Garg founded Valerant after seeing how much of the cost in litigation comes down to people reading documents one at a time — and how little of that reading actually requires a law degree to get right the first time.
The thesis behind Valerant is narrow on purpose: instead of trying to replace legal judgment, build the layer underneath it. AI reads every document, scores it for relevance and privilege, drafts the paperwork that follows from those calls, and keeps a record of every decision — so the attorney's time goes to judgment calls, not data entry.
Valerant is built with the defensibility requirements of real litigation in mind: every AI decision is explainable, every override is logged, and nothing leaves the platform without attorney sign-off. The goal isn't a black box that replaces review — it's a system that makes review fast enough that cost stops being the reason discovery gets scoped down.
Talk to our team about a pilot on an active or closed matter — we'll benchmark against your last review's cost and timeline.