How it works
From a conversation to company memory.
Four steps, each with a human in the loop. No black box, no scraping: a deliberate pipeline from expert to answer.
Interview
An AI interviewer asks the questions only your experts can answer: voice-first, 30 to 60 minutes. It captures the reasoning, not just the result.
Review
Every transcript is read and approved by your team before anything is stored. Nothing enters the company memory without a human saying yes.
Forge
Approved answers become typed Knowledge Cards. Classified, sourced, and tagged with who is allowed to see them.
Retrieve
Your team asks in plain language. Answers come back with citations, or an honest “no source” when the knowledge simply isn’t there yet.
Why it’s different
Built to be trusted, not just impressive.
Most tools retrieve the documents you already have. The hard part (and the point of Legacy AI) is the knowledge that lives only in people’s heads, governed so you can actually rely on it.
Cited, or nothing.
Every answer carries its source. When there is no grounded source, Legacy AI refuses instead of inventing one. Honesty is the default, not a setting.
Permission-aware by construction.
Who can see what is enforced in the database itself (Postgres row-level security), not bolted on in application code that can be bypassed.
It captures what was never written down.
Interviews surface tacit expertise: the judgment and reasoning behind the work. Search tools only index what already exists; we raise what doesn’t.
EU-native.
Hosted in Germany, GDPR-first. Export and deletion per person, an append-only audit trail, and a data-processing agreement on request.
Why now
A generation of expertise is retiring at once.
The most experienced people in industry are leaving the workforce faster than they can be replaced. What they carry is mostly undocumented, and once they’re gone, it’s gone.
“Roughly 70% of what an organisation knows is tacit, held in people, not documents.”
Documents capture what people did.
Never why they did it. The rationale, the edge cases, the “don’t ever do that”: that’s the part that walks out the door.
A wiki is written by whoever has time.
Which is no one. Exit interviews are an HR ritual, not a knowledge transfer. The result is the same either way: loss.
AI is only as good as the corpus you feed it.
Point a model at your PDFs and it returns fragments without context. Feed it captured expertise and it can actually reason.
The honest part
The most valuable answer is sometimes “I don’t know.”
A model that always answers will always sound confident, even when it’s wrong. Legacy AI would rather tell you the truth.
Start preserving
The expertise stays. The person moves on.
Bring us the knowledge you can’t afford to lose. We’ll show you how a single interview becomes memory your whole team can trust.