The output is not the end of the process. It is the start of a decision a professional is accountable for, and a confident wrong answer is worse than no answer, because nobody downstream can see it is wrong. Verifiability is the product.
Fluency is the wrong target, because a fluent answer is not a verifiable one. The domain-specific failures are particular: an unsupported claim, a misattributed citation, and most dangerously the material provision the system never mentions, which is invisible because there is nothing on screen to check against.
The reflex, and the fix.
Summarize the document with a language model
A polished summary in seconds, and it demonstrates beautifully on a clean document.
No grounding, no recall guarantee, and no way to verify. It produces exactly the output a professional cannot rely on.
Grounded extraction with review built in
Closed-domain scoping, grounding on retrieved spans, hallucination control, and a human-in-the-loop review surface.
An answer a professional can confirm quickly, and an explicit signal when the system is not confident.
Build a tool that supports professional judgment with checkable evidence, rather than one that asks for it to be outsourced.
Closed-domain scoping
The system answers within a defined document domain rather than open-endedly, which is what makes grounding and completeness checks possible at all.
Grounding and hallucination control
Every claim is bound to retrieved source content, and an unsupported claim is withheld or flagged rather than presented, which is precisely the failure a plain pipeline lets through.
Human in the loop by design
The review surface is part of the system rather than an afterthought, so the tool does the finding and the professional does the judging.
A single headline number hides where a system fails. This work was scored on the dimensions that actually decide whether it holds in production, measured on real, held-out cases rather than the demo path.
A clean paragraph the professional still has to verify by reading the whole document, with no signal about what was missed.
Grounded, checkable output with uncertainty surfaced rather than hidden, and a review surface where a professional confirms in seconds instead of re-reading.
What it owns, and what it hands to a person.
It accelerates review and makes output checkable. It does not exercise professional judgment, the professional remains accountable for what they sign, and flagged items exist to be verified by a person. It is not advice.
Where correctness is legally load-bearing, an answer you cannot trace to its source is an answer nobody can use. Bind every claim to something checkable, let the system abstain, and put the output where it can be verified quickly.