From regulation text to control update, automatically
How Regloom works in four stages. No manual reading. No routing decisions. Each stage runs continuously so the feed is always current.
Continuous polling of 40+ regulatory sources
Regloom maintains a versioned index of every source it monitors. Every 4 hours, each source is fetched and compared against the prior version. The diff is computed at the document level: section-by-section changes are extracted as discrete change records. No change is skipped because the agency published at an odd hour or in a low-traffic format.
Isolating what the regulation requires
Changed text is processed by Regloom's NLP extraction layer. The extraction model identifies obligation language: sentences and clauses containing modal verbs with compliance weight ("must," "shall," "required," "prohibited," "may not"). Each identified obligation becomes a candidate for control matching. Non-obligation text (preamble, definitions, effective dates, background context) is tagged and excluded from the matching queue to reduce noise.
Cross-references are also extracted. If an amendment to Reg E cites EFTA section 905, both the primary obligation and the cross-referenced obligation enter the queue. This is the part that most manual review misses: the downstream obligation buried in a citation, not in the amended paragraph itself.
Matching obligations to your specific controls
Obligation candidates are matched against your uploaded control library using semantic similarity. Controls are represented as embeddings based on their description, scope notes, and linked regulation references. Matches above the high-confidence threshold are auto-tagged. Matches in the review threshold are queued without a notification so compliance team members can review and decide. Matches below the review threshold are discarded.
Confidence thresholds are configurable per control category on Professional and Institution plans.
The right person sees what changed
Matched controls and their assigned owners receive targeted alerts. The alert contains: the regulation source, the changed text, the obligation it creates, the affected control identifier, the confidence score, and the effective date if specified. Delivery is via email digest (daily or weekly), Jira ticket creation, Confluence page push, webhook, or REST API.
Your compliance team sees a structured diff with a control reference. Not a newsletter. Not a PDF to forward and hope someone reads it. A specific record with the changed obligation text, the affected control identifier, and the confidence score, going to the person who owns that control. Regloom does not tell your team what decision to make: it tells them when a decision needs to be made and which control it concerns.