Regulatory watch fails in one of two ways: you drown in noise, or you miss the one document that mattered. Both come down to how you ask. A vague query returns everything and forces a human to triage it; a precise query returns a short, trustworthy list you can act on. This primer walks through SEQQL, the query language behind Seqlense Doc, and shows how to combine source:, doctype: and lang: filters to get clean results from a corpus that spans roughly 85 European regulators.
Why a query language beats a keyword box
A plain keyword search treats every hit equally. It cannot tell the difference between a binding technical standard and a press release that happens to mention the same word. Across finance, data protection, audit, insurance and cyber, that flattening is expensive: the same term (say, "outsourcing" or "consent") appears in guidance, in a consultation, in a sanction decision and in a routine communique, each with a very different weight for your compliance calendar.
SEQQL adds structure. Instead of matching text alone, you constrain the search along the axes that actually define a regulatory document: who published it, what kind of act it is, and which language it is in. Get those three right and most of the noise disappears before you read a single line.
The three core filters
source: narrows to a specific regulator or authority. Values map to the issuing bodies, for example source:AMF, source:BaFin, source:CSSF, source:CNIL or source:ESMA. Use it when your obligation is tied to a supervisor rather than a topic. A French asset manager watching its home authority starts with source:AMF; a group with a Luxembourg entity adds source:CSSF.
doctype: narrows by the nature of the document. The corpus distinguishes at least these types:
doctype: value |
What it is | Typical use |
|---|---|---|
sanction |
Enforcement or penalty decision | Track supervisory risk appetite |
consultation |
Draft open for comment | Influence rules before they bind |
guidance |
Interpretive expectations | Align controls to supervisor intent |
opinion |
Formal view of an authority | Read direction of travel |
regulation |
Binding text | Confirm the hard obligation |
report |
Thematic or market study | Benchmark and horizon-scan |
qa |
Questions and answers | Resolve edge cases |
communique |
Public announcement | Keep context, low priority |
lang: restricts by document language, for example lang:en, lang:fr or lang:de. This matters more than it looks. Many authorities publish an official national-language version and a later, sometimes partial, English translation. If you only ever read lang:en, you may see a regulator's position weeks after its home market did.
Combining filters
The filters are meant to stack. Each one you add makes the result set smaller and more relevant, so build queries by intersection rather than by long lists of keywords.
- Everything binding from the German supervisor, in German:
source:BaFin doctype:regulation lang:de - Open consultations from the EU markets authority you could still respond to:
source:ESMA doctype:consultation - Data-protection enforcement to learn from:
source:CNIL doctype:sanction - Interpretive expectations on a topic, across authorities:
doctype:guidance outsourcing
A good rule: start narrow, then widen. Begin with the tightest query that could plausibly hold your answer, confirm the shape of the results, then relax one filter at a time. Widening a precise query is fast; pruning a flood of keyword hits is slow and error-prone.
Patterns that save time
- One saved query per obligation, not per regulator. If your control framework has a line for "third-party risk", write the query that captures it (
doctype:guidance doctype:regulationplus your terms) and reuse it, rather than re-typing an authority name each week. - Separate the "act now" types from the "be aware" types. Route
sanction,regulationandconsultationinto your active review queue, and letreportandcommuniqueaccumulate for a periodic read. - Watch the language pairs. For any regulator that matters to you, keep one query in the national language and one in
lang:en, so a delayed translation never sets your baseline. - Prefer stable filters over trendy keywords.
source:anddoctype:change rarely; a topical keyword drifts as the regulator's own vocabulary shifts. Lean on structure first, text second.
Turning queries into a watch
A single search answers a question you already have. Regulatory watch is about the questions you have not thought to ask yet. The practical move is to convert your best SEQQL queries into standing watches, so new matching documents surface as they are published rather than when you next remember to look.
That is exactly the workflow Seqlense Doc is built for: express the obligation once as a precise query across the European regulators you care about, in the languages you operate in, and let the structured filters do the triage. The better your source:, doctype: and lang: discipline, the shorter and more trustworthy your alerts become, which is the whole point of watching in the first place.
The takeaway is simple. Treat every filter as a promise about what you want to see, keep queries narrow and stackable, mind your languages, and let structure carry the weight that keywords cannot.