Jürgen Eckhardt
Every expert holds answers others can't find. We make sure those answers stay.
Institutional Knowledge, Structured
LegacyAI turns expert conversations into structured, searchable company knowledge — reviewed by your team and ready to use across documentation, onboarding, and AI workflows.
Knowledge capture metrics and organizational coverage
Coverage by Department
Knowledge Loss Alert
Sarah Chen (Engineering Lead) leaves in 14 days — 0% captured.
Trusted by industry leaders
Soon to be revealed
Processes, decisions, and domain expertise live in conversations — not systems. When you need that knowledge for onboarding, for AI, or for operational continuity, it either can't be found or simply no longer exists.
16.5M
30% of your most experienced knowledge holders will retire or move on by 2036. Most organizations have no system to capture what they know.
70%
of your company's operational knowledge lives only in conversations, habits, and expert intuition — never captured, never findable.
+6 mo.
It takes 6–12 months to rebuild operational capacity after critical undocumented knowledge is lost. Documentation after the fact doesn't solve this.
Four steps to preserve institutional memory. Every step includes human review and approval.
AI conducts structured conversations with your subject-matter experts, using context-aware follow-up questions to surface knowledge that rarely makes it into documents.
Every transcript is reviewed and approved by your team before any processing. You control what gets captured and how it's framed.
Approved content is cleaned, classified, and organized into discrete knowledge blocks — each with source attribution, departmental context, and retrieval metadata.
Structured knowledge exports to your documentation system, knowledge base, or AI workflows — ready for search, onboarding, and retrieval.
A single expert interview becomes a set of organized, searchable knowledge blocks — each with context, source, and clear ownership.
00:04:32
“...the Tuesday failure is usually the upstream vendor sync. You SSH into the jump box, run restart_sync.sh, then notify ops-channel...”Knowledge is split into self-contained blocks — each chunk carries enough context to stand on its own, so an AI never retrieves information without understanding where it came from.
Topic-aware boundaries · Context-preserving splits · Relationship metadata
Every knowledge block is tagged with organizational metadata — who said it, which system or process it relates to, and which team owns it.
Source attribution · Department tagging · Role context
Structured knowledge exports as embeddings, indexed documents, and linked knowledge graphs — ready for semantic search, RAG pipelines, or your existing documentation system.
Vector embeddings · BM25 indexing · Knowledge graph · API export
Track knowledge capture progress across teams and systems. See where critical knowledge exists — and where it doesn't.
Assign reviewers, schedule interviews, and manage knowledge capture workflows across departments.
Multi-stage review ensures every knowledge artifact is accurate, relevant, and approved by your team before it enters the system.
LegacyAI works wherever domain expertise and institutional context need to be captured — not just at offboarding, but continuously.
Deployment workflows, infrastructure quirks, undocumented system behavior — the operational knowledge that keeps your stack running and never makes it into the wiki.
"The staging deploy needs a manual cache flush on node-3 or it'll 500 for 20 minutes."
Vendor relationships, escalation paths, compliance edge cases — the institutional knowledge that only exists because someone learned it the hard way.
"For DACH region invoices, CC compliance@ or the payment gets held for three weeks."
Account histories, client preferences, and relationship context — structured so knowledge travels with the account, not with the person.
"The Müller account — never schedule calls before 10am, and always loop in Thomas."
Decision rationale, stakeholder dynamics, and the reasoning behind your current direction — the context that shapes every future decision.
"We chose Cloud Provider A because of the automotive client contract terms — that's not in any document."
Once captured and organized, expert knowledge starts working immediately — for your team, your new hires, and your AI.
New team members get structured knowledge from domain experts from day one — processes, context, and institutional reasoning. Not a generic onboarding deck.
Export structured knowledge directly into your AI assistant or search. Context-rich, source-attributed, findable.
Not a wiki that goes stale. A structured, continuously indexed base that grows with every interview session.
Coverage analytics show which teams, systems, and processes have no documentation — so you can act before the gap matters.
Regulated industries need approved, traceable records. Every LegacyAI session produces documentation with human review built in.
Critical operational knowledge in one person's head is a business risk. Capturing it is how you turn that risk into organizational resilience.
Start preserving institutional knowledge today. Set up in minutes.
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