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Methodology

How records are reviewed

A source change is a signal, not a published conclusion.

Official evidence first

We monitor selected agency pages, official registers and first-party regulatory sources. Where a structured API exists, we prefer it over scraping.

Changes become candidates

Fetching, hashing, date parsing and known-source matching are deterministic. Changed source text becomes a review candidate. Optional semantic classification can reduce obvious noise, but it cannot publish a requirement.

Human review before publication

Before a consequential record is published, the reviewer checks the source, lifecycle state, dates, affected shops and wording. Proposed rules remain separate from effective rules.

Corrections

Published wording can be corrected with an audit trail. Corrections do not automatically resend an old subscriber alert.

Scope

This validation is intentionally incomplete. It does not claim to cover every state, locality, rule or legal obligation, and it is not legal advice.