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Legal & GDPR Models

Private Legal LLM & GDPR-Safe AI for German-Speaking Law Firms

We fine-tune Llama 3.1 and Mistral Nemo on your German, Austrian and Swiss legal documents so you get a private legal LLM that understands BGB, HGB, ABGB and OR – without sending any data to US clouds. Designed for law firms, in-house legal teams and compliance departments that need strong German legal language and strict GDPR compliance with a dedicated legal AI assistant.

DACH focus: DE · AT · CH GDPR & EU AI Act aware Anwaltsgeheimnis / attorney–client secrecy respected 100% EU data residency
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We specialise in GDPR-compliant private legal LLM fine-tuning for Germany, Austria and Switzerland, with clear fixed pricing from €6,900 and options for fully air-gapped deployments on EU infrastructure.

Why Generic GPT Is Not Enough for Law

  • Generic LLMs hallucinate on BGB, HGB, ABGB, OR – lawyers spend hours correcting drafts.
  • OpenAI or Anthropic mean data may leave Europe – difficult to reconcile with GDPR and professional secrecy.
  • Standard models understand only a fraction of complex German legal sentences compared to native experts.

From Hallucinating Chatbots to a Serious Private Legal LLM

Your legal team needs an assistant that understands German legal language, your typical contracts and your internal risk categories. Our legal vertical turns a strong open-source base model into a private legal LLM that is tuned on your own documents and precedents – and can be deployed fully inside the EU or on-premise as a GDPR-compliant legal AI solution.

3 Typical Pain Points

What DACH Firms Experience with Generic Models

  • Hallucinated references to non-existing sections, laws or court decisions.
  • Inconsistent style and risk classification between different lawyers and departments.
  • Data residency concerns: prompts and documents processed outside EU jurisdiction.
Our Solution

Fine-Tuned on Your Precedents & Court Decisions

  • Fine-tuning on your real contracts, templates and playbooks, plus public decisions from BGH, OGH and BGer.
  • Accuracy on your internal contract benchmarks typically rises into the high 90% range.
  • Deployment options: EU-hosted API (Frankfurt/Varna) or fully on-premise / air-gapped for maximum secrecy.

What Your Private Legal LLM Can Do in Practice

We focus on concrete, high-impact workflows for law firms and in-house legal teams where a private legal LLM can save hours per week while keeping lawyers in full control of final decisions. These are typical use cases we implement for DACH legal and compliance teams.

Contract Analysis & Clause Extraction

Your model pre-reads contracts and flags issues before a human lawyer makes the final call.

  • Highlight unusual or missing clauses compared to your internal standard.
  • Classify clauses by risk level and relevant law area (e.g. Haftung, Gewährleistung, Datenschutz).
  • Extract key commercial terms (price, notice periods, jurisdiction, liability caps) into summaries or tables.

Redlining & Draft Comments

Speed up first drafts while your lawyers keep control over final wording.

  • Suggest alternative clause wording aligned with your playbook and risk appetite.
  • Generate first draft redlines against your templates or preferred supplier/customer terms.
  • Produce explanatory comments in German for internal stakeholders or counterparties.

Research & Knowledge Assistant

A private research assistant that actually knows your jurisdiction and internal know-how.

  • Search across internal memos, templates and know-how collections in natural language.
  • Summarise long court decisions and highlight aspects relevant to your case.
  • Propose arguments or risk assessments based on your previous similar matters.

Pricing for Private Legal LLM & GDPR AI Projects

Legal projects require more careful data handling, evaluation and stakeholder alignment than simple support bots. The structure below is tailored for DACH law firms and corporates that want a predictable budget for a GDPR-compliant private legal LLM, including options for hosted APIs and on-premise deployments.

Tier
Starter Legal LoRA
€6,900
For first projects and focused use cases on smaller models (up to 13B).
  • LoRA fine-tune on your templates + sample contracts.
  • Base model ~13B (e.g. Llama 3.1 8B / Mistral 7–12B).
  • Basic evaluation on a jointly defined test set.
  • EU-hosted API or model file delivery.
Most Popular
Professional Legal (32–70B)
€11,900–€18,900
For serious legal teams that want maximum quality and future-proof capacity.
  • Fine-tuning on larger models (32–70B) with strong German abilities.
  • Extended dataset: templates, NDAs, MSAs, employment and supplier contracts.
  • Advanced evaluation suite with multiple metrics and human review rounds.
  • Prompt templates and best-practice guidance for your lawyers.
Deployment
On-Premise / Air-Gapped Setup
€15,000–€35,000
For maximum control, secrecy and independence from external providers.
  • Installation on your hardware (EU) or private cloud.
  • Air-gapped configuration possible for sensitive environments.
  • Workshops for your IT & legal teams, plus documentation.
  • Optional support retainer for updates and re-training.
Private legal LLM pricing overview for DACH law firms
Visual overview of private legal LLM pricing for German-speaking law firms.

All prices are net. For most EU B2B clients, VAT is handled via reverse charge. For fixed multi-year engagements (e.g. fine-tune + hosted inference + on-prem backup), we can prepare a bundled offer tailored to your internal cost structure and legal AI roadmap.

How a Private Legal LLM Project Typically Runs

Our legal AI projects are structured so that partners, senior associates and in-house counsel stay in control of scope and quality at every step. Below is the typical end-to-end flow for a DACH private legal LLM implementation, from first call to production deployment.

1

Week 1 – Legal AI Discovery Call

We speak with your lead partner or GC and a tech contact to understand jurisdictions, matter types, main templates and security requirements. You leave with a clear view of what is realistic and what is not.

2

Week 1 – Fixed-Price Proposal

You receive a written offer with use cases, data needs, delivery timeline and a fixed budget. No open-ended hourly billing, no vague “estimates”.

3

Weeks 1–2 – NDA & Data Selection

NDA is signed (if not already in place), then we agree a safe data subset: templates, anonymised contracts, selected memos and benchmark cases aligned with your practice areas.

4

Weeks 2–4 – Fine-Tuning & Evaluation

We run the fine-tune, define evaluation prompts with your lawyers and share results. Your team tests the model on real-world samples, focusing on accuracy, tone and risk controls before anything goes live.

5

Weeks 4–5 – Delivery & Handover

You receive the legal LLM (adapters or merged model), API or on-prem setup instructions, plus documentation and prompt examples tailored to your firm’s workflows and tools.

6

Weeks 5–6 – Deployment & Ongoing Support

We help you integrate the model into your existing systems (DMS, SharePoint, ticketing) and, if desired, stay on as a long-term legal AI partner for optimisation, new use cases and further DACH jurisdictions.

Optimizing Legal Operations with AI
Legal AI Articles

Optimizing Legal Operations with AI

December 27, 2025 · Legal AI
Optimizing Legal Operations with a Private Legal LLM and GDPR-Compliant Legal AI Assistant Explore the role of a private legal LLM and GDPR-compliant legal AI assistant in enhancing legal operations and compliance in Europe. Dive into the importance of legal…
Read the full Legal AI article →
Next Step

Ready to Explore a Private Legal LLM for Your Firm?

In a short 15-minute call we identify your strongest use cases – contract review, redlining, knowledge assistant or compliance – and map them to a concrete project scope and budget. Within 24 hours you receive a fixed-price proposal and a clear plan to move from experiments with generic GPT to a serious, GDPR-safe private legal LLM that runs fully in Europe.

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