01 · Understand
Start with one real question.
We agree what material belongs in the work, what decision it needs to support and where the boundary should be.
Clear records for real decisions
Do not settle for a fluent answer when the decision needs evidence.
Legenda turns a defined set of documents, reports, messages or system records into an account a person can inspect: what happened, what supports it, and what remains uncertain.
Not just a tool
AI can help investigate. It does not get to be the evidence.
We make the question and the boundary explicit, use checks that are independent of a smooth summary, and preserve what was actually examined.
What stays visible
The boundary of the result, not just its conclusion.
We say what the material or system does not show, where results vary, and where a person still needs to make a professional judgement.
How we help
From a difficult pile of information to a report someone can actually use.
02 · Trace
Keep every important point tied to its source.
Our software helps preserve the original record and connect a statement in the report back to the passage, document or recorded event that supports it.
03 · Explain
Write the story for people, not for a machine.
The result is a readable account with sources, context and limits in plain view — ready for a responsible reviewer to use.
When the material is a system, not a document
We examine a concrete technical promise under pre-described pressure.
In one bounded replay, the same billing conversation produced different rule decisions across runs — the chat window looked stable while the decision underneath changed.
Input
A claim worth trusting.
A rule, guarantee or safety promise in your system that is important enough to check — pinned to one version.
Experiment
Allowed but difficult situations.
We press the promise with situations the system explicitly permits, alongside control cases that keep the measurement honest.
Output
A bounded finding with evidence.
What held, what did not, under exactly which conditions — with the records preserved so someone else can rerun the check.
Why this is different
A fluent summary is not the same as a trustworthy record.
It is easy to create a persuasive page of text. It is much harder to show exactly where each important part came from, avoid quietly mixing different accounts, and make the missing information visible.
That is what Legenda adds. We use software to keep the record orderly and traceable, but we do not ask a machine to make the final judgement. A reviewer can follow the story back to its support and decide what it means.
A standard worth keeping
We would rather hold back a story than publish one that cannot carry its own weight.
Before a public example belongs on this site, we check that its source record, scope and limits are still intact. If that chain is incomplete, we do not use it as a sales story.
That restraint is part of the service: clear information should be easier to trust, not merely easier to read.
Start with a conversation
Have material that needs a clearer story?
Tell us what you have, what you need to understand and what decision it must support. We will first say whether the scope is a fit.