Retrieval Models
Query Tokens
A retrieval model normalizes query text before matching. Honesty note: simplified toy corpus; jurisdictions vary; the pinned first step states the as-of date; not legal advice; retrieval points to sources and does not answer the legal question.
Structured Visual
Jurisdiction: US; as of 2026-06-24; not legal advice; Code encodes a stated structural model, not the law itself. RENDER STRUCTURE · REFUSE INTERPRETATION · CITE · ABSTAIN · HAND-OFF.
RENDER STRUCTURE · REFUSE INTERPRETATION · CITE · ABSTAIN · HAND-OFF: render structure, refuse interpretation, cite provenance, abstain when unsupported, and hand off to human review.
Retrieval honesty note
Honesty note: simplified toy corpus; jurisdictions vary; as of June 24, 2026; not legal advice; retrieval points to sources and does not answer the legal question.
Normalize before matching
The process rule is tokenize first, then match. The raw query text is not matched as a single sentence.
Example query text
The example query is deadline calendar day. The engine derives the display tokens from that exact text.
The token list is recomputed
The normalized tokens are deadline, calendar, day. The token count is 3.
Diagram note
The table shows the same tokenized query against each record. It does not perform semantic search.
Jurisdiction: US; as of 2026-06-24; not legal advice; Code encodes a stated structural model, not the law itself. RENDER STRUCTURE · REFUSE INTERPRETATION · CITE · ABSTAIN · HAND-OFF.
RENDER STRUCTURE · REFUSE INTERPRETATION · CITE · ABSTAIN · HAND-OFF: render structure, refuse interpretation, cite provenance, abstain when unsupported, and hand off to human review.
Summary
A retrieval trace should show how the query became matchable data before showing any record row.