Concept
Three texts that fully explain the architecture and positioning of LEGALinhouse. No marketing simplifications, no hidden trade-offs.
How LEGALinhouse builds hallucination-free legal AI — knowledge graph, specialist routing, case-citation protection, 3-phase anonymization. The technical depth.
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Why LEGALinhouse exists: SMEs need the same tools as large enterprises — and have not been able to afford them so far. What we change about that, and what we don't.
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What LEGALinhouse is (a productivity tool) and what it is not (a legal service). Who may use it lawfully — and where external counsel is needed.
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Three sentences that stand behind every technical decision in LEGALinhouse.
We build for German data protection standards, not US speed. Data location Germany, inference in the EU region Frankfurt, no data flow into third countries. If that is slower, then it is slower — but it is secure.
Every legal statement must be traceable to an entry in the knowledge graph. Where the graph is silent, the AI is silent — or says clearly that the statement is unverified.
AI output never leaves LEGALinhouse without human approval. Every draft is marked as a draft. Legal responsibility stays with the human — the AI only removes the friction on the way there.
Background article for decision-makers, maintained on the CEAVEO corporate site.
Why free AI assistants systematically miss in the legal context — Stanford 2024 study, documented court cases worldwide, and what matters for AI-assisted legal work.
