VIGILIST 000001

The production lands Friday.
You're ready Monday.

Opposing counsel sends ten thousand documents. Overnight, Vigilist reads every one — coding each document and mapping every person, organization, and event into a knowledge graph. By morning your team has a review list that starts at the documents that decide the case, every call cited to the page that proves it.

Watch the lifecycle

VIGILIST 000002

Big-firm tools, small-firm reality.

Traditional e-discovery is priced for hundred-lawyer firms and still burns most of the budget on one thing: humans reading documents in order. Vigilist inverts that. The AI makes the first pass over everything, the knowledge graph shows you who and what matters, and your reviewers spend their hours on the documents that decide the case — inside one platform that also redacts, produces, and proves the work.

VIGILIST 000003

The whole matter lifecycle. One platform.

Ingest anything, keep adding

Relativity-style DAT/OPT productions with AI-assisted field mapping, PST/EML containers with families and threads intact, folders of PDFs and natives. Matters take multiple loads — their productions and your collection, side by side and labeled.

AI review that shows its work

An LLM reads every document against your case criteria and codes it — relevant, key, or not — with confidence, reasoning, and excerpts. Attorneys stay in command with one-click overrides.

Validated like courts expect

Blind control sets, recall and precision with confidence intervals, elusion testing over the discard pile. The statistics that turn "we used AI" into a number a judge accepts.

Search every way

Full-text with phrases, booleans, and wildcards; semantic search when you don't know the words; hit reports with unique-hit counts for negotiating term lists with evidence.

A brief that writes itself

Clustering, theme labels, and an AI case brief with citations that jump straight to the Bates number — your first read of a new production, done before you sit down.

Redactions that can't leak

Reason-coded redactions burned into every produced pixel. Second-pass QC approvals auto-invalidate if a redaction changes afterward — stale sign-offs structurally cannot ship.

Privilege logs, generated

Privilege tags derive withhold and redact-in-part dispositions; the log builds itself from safe metadata only — never from privileged content. Ready to serve as CSV.

Produce like the incumbents

Lock a set for gap-free Bates with families together; render endorsed PDF or single-page TIFF; carve out natives; split volumes by size; deliver Concordance DAT/OPT any platform can load.

Guardrails before the gavel

Locking runs validation first: unapproved redactions, privileged documents going out clean, received documents headed back to their producer. Resolve — or override on the record.

Chain of custody, on demand

Every document tells its story: source, hashes, extraction, tags, decisions, redactions, productions. Matter-level custody reports and an honest exceptions ledger, one click away.

Built for review speed

Keyboard-driven coding, bulk tagging across thousands of documents, queues and batches with statistical QC, and an in-browser viewer for images, text, natives, and media.

Enterprise-ready security

SSO with your firm's identity provider (SAML/OIDC), enforceable per organization; role-based access; an append-only audit trail behind every action.

VIGILIST 000004

Know who's who before
the first deposition.

Vigilist reads the corpus and builds the cast of characters: every person and organization, resolved across aliases — "J. Rivera," "Rivera, Jorge," and the email address are one person, with a review queue for close calls so a human confirms every merge.

Click any name, anywhere: an AI-written profile, every mention in context, and who they're connected to — employer, counsel, correspondent, party to an agreement — each relationship backed by the phrase in the document that proves it. Key players rank by presence, so the people who matter surface on day one.

Events — meetings, payments, agreements — are extracted from day one, building toward matter timelines and relationship graphs on the same foundation.

JR Jorge Rivera CFO · 214 MENTIONS
Acme Corp
Dana Wu
Meridian LLC
PAYMENT · MAR 2024
EMPLOYMENT · "CFO SINCE 2019" CORRESPONDENT · 41 DOCS PARTY TO AGREEMENT PARTICIPANT
hover or tap a name — every edge cites the document that proves it

VIGILIST 000005

From load file to defensible production.

  1. 01

    Ingest

    Drop in their production or your client's mailboxes. Metadata, families, threads, hashes, and OCR handled automatically — keep adding loads as the case grows.

  2. 02

    Review with AI

    The AI codes the corpus and briefs the team; reviewers work the queues at keyboard speed. Validate the machine with control sets whenever the numbers need to hold.

  3. 03

    Redact & log privilege

    Draw redactions, QC them, and let the privilege log build itself from your privilege calls — dispositions, descriptions, and all.

  4. 04

    Produce & prove

    Lock the set, stamp Bates, render, package DAT/OPT with a hashed manifest. Hit reports, sampling statistics, and custody reports stand behind every choice.

VIGILIST 000006

The AI that can take the stand.

Every claim comes with its evidence attached. Redaction approvals that expire when the redaction changes. Production locks that record who overrode which warning. Frozen random samples with Wilson confidence intervals. Validation reports that persist exactly as run. An append-only audit log under all of it.

"How do you know the AI didn't miss anything?"

RECALL 87.4% [CI 81.2–92.1] · ELUSION 0.4% · EST. MISSED 38–61 OF 9,912 · REPORT #12, PRESERVED AS RUN

— the answer, from a sample Vigilist validation report

VIGILIST 000007

On the record.

IN RE: MODERN DISCOVERY · TESTIMONY OF T. VIGNARAJAH PAGE 1 OF 1
  1. "For twenty years I watched the side with the
  2. bigger discovery budget start every case ahead —
  3. before the merits ever got a hearing. Vigilist is
  4. the first platform that ends that head start. My
  5. team ingests a production on Friday and argues from
  6. it on Monday — and when the other side questions
  7. the process, the numbers are already in the record."
Thiru Vignarajah Former Deputy Attorney General of Maryland

VIGILIST 000008

$18 per GB. Per month. That's it.

Billed on the gigabytes you upload — not the "processed" gigabytes other platforms expand them into. AI review, entity intelligence, productions, and defensibility included. No seats, no minimums, no lock-in.

$90/month · roughly 25,000 documents — read, coded, and mapped

Platform To get a price A 5 GB matter AI review Commitments
Vigilist You just did — $18 / GB / mo, published $90 / month, everything included. Start today. Every document read and coded overnight, with validation statistics built for court None — month to month, billed on the raw GB you upload
RelativityOne Sales quote, through a service provider Processing, seat & hosting fees — est. $300–700 in month one, before anyone reads a page aiR — in whatever package your provider negotiates Annual terms typical · billed on processed data and peak review volume
DISCO Sales quote — pricing not published Accounts reported at $20k+ / yr; a small matter may not clear the door Cecilia — in whatever bundle you negotiate Billed on processed data — more GB than you sent
Everlaw Sales quote — pricing not published Est. $2,000–5,000 / mo platform fee before the first gigabyte Batch AI actions sold separately, as credits The platform fee is the minimum

Competitor figures are third-party estimates of quote-only pricing and Winter 2026 industry-survey data, as of July 2026. They don't publish prices. We do.

The price is the headline. It isn't the advantage.

A knowledge graph, not a folder of documents

Vigilist reads the corpus into a cast of characters — every person, organization, and event, resolved across aliases, every relationship cited to the document that proves it. Click a name; see the case.

AI that shows its homework

Every call ships with confidence, reasoning, and quoted excerpts — validated by control sets, recall, precision, and elusion statistics preserved exactly as run. When they ask how you know it didn't miss anything, you hand over a number.

The whole corpus, read by default

Not a chat assistant you consult one document at a time, and not a batch action metered in credits. The first pass over everything is the product — it runs the night your data lands.

VIGILIST 000009

See it on your own production.

Bring a sample production and we'll walk the whole lifecycle — ingest, AI review, redaction, and a Bates-stamped production back out. Start to finish.