What the AI does day-to-day

The AI in LEGALinhouse is not a free-standing chatbot but a layer that is active in every module — always with the context of the matter you are working on. Typical tasks:

  • Research: "Which BGH decisions on written-form requirements in lease agreements are relevant here?" — the AI returns verified case references with a brief summary.
  • Draft generation: briefs, dunning notices, statements, terminations — as a DIN 5008-compliant letter, always as a draft for review.
  • Contract analysis: AI-assisted metadata extraction from PDF contracts, with short summary.
  • Facts structuring: turning unstructured facts into an ordered form, with timeline and parties.
  • Deadline recognition: incoming letters are scanned for deadlines, suggestion lands in the inbox.
  • Classification: incoming documents and correspondence assigned to the right matter and process type.

19 German legal specialists + international profiles

A generic AI gives generic answers. LEGALinhouse routes every query to a matching legal specialist — a system prompt with its own vocabulary, standard literature and retrieval configuration. For German law that's 19 specialists: among them labor law, tenancy law, corporate law, contract law, IT law, data protection law, tax law, criminal law, administrative law.

On top of that, further specialist profiles cover international jurisdictions, for over 140 profiles in total. Whoever asks an international question (e.g. a contract under US or UK law) gets a specialist that at least knows the fundamentals of the relevant jurisdiction — for substantive questions this is a guide, not a substitute for local counsel.

What this looks like in practice

You open the chat in a matter about lease termination. LEGALinhouse detects: German tenancy law. The tenancy specialist is loaded, the relevant BGB provisions are pulled into context, and the answer cites only decisions that exist in the case law database. Switch into the next matter (e.g. data protection) and the data protection specialist takes over automatically.

Streaming responses in real time

Anyone who has waited on an AI response knows: three seconds for a two-sentence question is bearable, but 30 seconds for a longer research query kills the workflow. LEGALinhouse therefore delivers streaming responses in real time — you see the answer being written, you can interrupt early if you notice the AI is going wrong, and you can read along while it types.

Sources that actually exist

Hallucinated case references are the most common failure mode of legal AI. LEGALinhouse prevents this at two levels: a generation-time constraint (the AI can only cite from a retrieved list of real court decisions, with structured court / date / reference number from the graph), and post-hoc validation (every citation in the output is checked against the case law database and flagged if needed).

Details are under Concept · AI Architecture. Practical effect: if a case reference appears in a response, it exists — or it is explicitly marked as unverified.

Human-in-the-loop

AI output never leaves LEGALinhouse without human approval. Letters go out only after an employee has approved them. Contracts are only filed once the extracted metadata has been reviewed. Deadlines are suggested, not set automatically. This architecture is not a brake but a protection — it keeps legal responsibility with the human, where it belongs, and makes LEGALinhouse RDG-compliant: productivity tool, not legal service.

Going deeper

Anyone who wants to understand the architecture behind the AI — knowledge graph, routing, citation protection, 3-phase anonymization — finds it under Concept · AI Architecture. GDPR and the EU AI Act in detail under Security & Compliance.