Process at scale
Ingest, normalize, connect, and organize large collections of structured data and files without losing the source context behind an individual record.

Investigative evidence + monitoring
Mercury Labs processes large volumes of data and files into traceable records for audits, investigations, regulatory examinations, and legal review—then keeps monitoring when the matter requires a current view of the market.
From collection to production
Evidence rarely arrives as one clean dataset. It arrives as files, exports, captures, records, and changing public sources. We build the processing system that turns that volume into a reviewable corpus: normalized fields, preserved source material, repeatable classification, jurisdictional context, and production formats that investigators, analysts, and counsel can use.
Ingest, normalize, connect, and organize large collections of structured data and files without losing the source context behind an individual record.
Build versioned rule profiles around the statutes, regulations, and local ordinances relevant to each jurisdiction and examination.
Deliver structured datasets, per-entity histories, audit workpapers, and exhibit-ready documentation linked back to supporting material.
Examination architecture
The system connects the material being reviewed, the method applied to it, and the issue that placed it in front of an examiner. Review teams can move from a market-wide pattern to a specific entity, file, observation, and source capture.
Documented methodology
A finding that cannot be reproduced is not useful under examination. The collection, processing, classification, review, and production method is defined at the beginning of the engagement and versioned when it changes.
Define the population, data sources, legal questions, jurisdictions, taxonomy, retention, and delivery format.
Collect or ingest the files and data, preserve source context, normalize fields, and connect related entities and events.
Apply deterministic rules first and model-assisted review where needed, recording the path and evidence behind each result.
Validate findings against the supporting material and deliver them in the format investigators, analysts, or counsel require.
Evidence handling
Collection volume matters, but provenance determines whether an individual finding can survive scrutiny. Evidence handling is part of the system design, not a report-writing step added at the end.
Every observation records when it occurred and the method version in force.
The underlying material is retained alongside extracted fields so the finding can be checked against what was observed.
New states are added without silently overwriting or backfilling the record that came before.
Method changes are dated so historical findings remain interpretable under the rules used at the time.
Access, export, and production events can be logged to show who received which material and when.
The person who built the system can explain its operation where an engagement requires technical examination.
Flagship examination · ENDS online sales
Online sales of electronic nicotine delivery systems are governed by overlapping federal requirements, state laws, and local ordinances. Enforcement teams needed a reliable view of which merchants were selling into each jurisdiction and what happened at the storefront and checkout—not only what a policy page claimed.
Mercury Labs built continuous observation across more than 1,300 Shopify and WooCommerce merchants. The system recorded storefront status, ENDS products offered, age-verification behaviour, shipping destinations tested by state, and the payment and fulfilment infrastructure behind each checkout.
Jurisdiction-specific examinations connected those observations to the state requirements and applicable local ordinances in scope, helping counsel identify conduct that could warrant legal review while preserving the underlying record for examination.
Findings were delivered to the New York City Law Department and a coalition of 25 state attorneys general. The work supported the coalition’s engagement with Shopify, which ended vape product sales to United States customers across its platform in June 2026.

A necessary boundary
Mercury Labs documents behaviour, organizes large records, and identifies statutes, regulations, or ordinances that may be relevant to the examination. We do not characterize conduct as lawful or unlawful. Investigators and counsel draw conclusions from the produced record.
Who this is built for
The underlying collection can support different workflows. The field set, review protocol, access model, and delivery format are shaped around the office responsible for acting on it.
Audit-ready market views and jurisdiction-specific records produced for policy, regulatory, procurement, or administrative workflows.
Entity histories, infrastructure connections, issue flags, and source records that support review from a market-wide pattern down to a specific observation.
Documented collection methods, per-entity evidence, structured productions, and technical support for litigation, regulatory, and enforcement matters.
Engagement structure
Scoping establishes the sources, population, legal questions, jurisdictions, processing method, and production format. A defined pilot proves the record before an office commits to continuous monitoring.
Agree the source material, market boundary, jurisdictional profiles, taxonomy, review standard, retention, and delivery format.
Process an agreed corpus or monitored population, test the methodology, and deliver enough evidence to evaluate continued use.
Continue collection at an agreed cadence, incorporate new files and entities, and produce findings as the examination evolves.
Evidence + monitoring FAQ
A methodology briefing can walk your team through the field set, processing method, evidence handling, limitations, and a redacted example record.
Methodology before commitment