LLM Fine-Tuning Portfolio & Private LLM Case Studies for European Companies
This LLM fine-tuning portfolio shows real private LLM case studies from European projects: German legal review, multilingual customer support, and public sector document AI. Each example focuses on GDPR-safe deployments, concrete metrics and how a private LLM portfolio in Europe actually performs in production.
What This Page Shows
- 3 concrete private LLM case studies across German legal, multilingual support and public sector document AI.
- Before/after benchmarks that compare base models with your fine-tuned, GDPR-safe private LLMs.
- Planned live demos on Hugging Face so prospects can safely test behaviour before a sales or scoping call.
Selected Private LLM Case Studies
These examples reflect the type of projects AI Tuning focuses on: regulated environments, multilingual European users and organisations that cannot send sensitive data to generic US-based APIs. Each private LLM case study is part of a broader private LLM portfolio in Europe that can be adapted to your sector.
German Legal Contract Reviewer
- Fine-tuned on anonymised German commercial contracts and internal clause libraries.
- Assists legal teams with clause extraction, classification and risk flagging.
- Understands your internal playbook instead of generic “English law” assumptions.
Multilingual Support Bot (DE / EN / BG)
- Trained on historical tickets, macros and help articles from a SaaS support team.
- Handles FAQs and low-risk requests in German, English and Bulgarian with brand-consistent tone.
- Works as agent co-pilot inside the ticketing system instead of replacing humans.
Public Sector Document Summarisation (BG)
- Fine-tuned on Bulgarian-language regulations, public tenders and internal guidance.
- Helps staff summarise long documents and extract key obligations and deadlines.
- Runs on-premise inside a controlled environment with full access logging.
Before / After Fine-Tuning – Example Benchmarks
The exact numbers depend on your data and evaluation setup, but the pattern is the same: general-purpose models are decent, and fine-tuned private models are much better on your specific tasks. These example LLM fine tuning benchmarks illustrate the kind of uplift you can expect when you move to a private, domain-specific model.
| Use Case / Task | Metric | Base Model | Private Fine-Tune | Gain |
|---|---|---|---|---|
| German contract clause extraction (legal) | F1 on key clause detection | ≈ 0.68 | ≈ 0.79 | +11 points |
| Multilingual support reply suggestions (DE / EN) | Agent acceptance rate | ~ 55% | ~ 82% | +27 pp |
| Bulgarian public sector doc summaries | Human preference vs. baseline | Preferred in ~40% of comparisons | Preferred in ~78% of comparisons | +38 pp |
Benchmarks are illustrative of the type of improvements private fine-tunes can deliver. For each real project, AI Tuning defines an evaluation plan with you and reports concrete metrics, not just “AI magic” – so your private LLM case studies are backed by numbers.
All deployments are hosted on EU-only infrastructure – for example EU regions of providers like Hetzner, Scaleway or OVHcloud – or fully on-premise in your own data centre, so your GDPR-safe LLM demos never leave Europe.
Live Demos on Hugging Face (Coming Soon)
Your plan is to host public versions of your key models and simple chat experiences as GDPR-safe LLM demos on Hugging Face – so prospects can try the behaviour before a sales call. This section is ready for those links; for now it clearly explains what each demo will show.
German Legal Contract Demo
Try a safe version of the German contract reviewer: upload or paste sample clauses and see how the model extracts and explains them, similar to the German legal LLM case study above.
Live Demo (Hugging Face) Replace# with your actual Space URL once it’s live.
Multilingual Support Bot Demo
Test the support co-pilot in German and English: ask typical SaaS questions and compare the answers with a generic model – a live multilingual customer support bot benchmark.
Live Demo (Hugging Face) Great to link from the Customer Support Bots vertical page.Bulgarian Document Summariser
Paste a Bulgarian public sector text and get a short summary plus extracted key points: obligations, dates, entities mentioned – matching the public sector case study.
Live Demo (Hugging Face) You can reuse the same underlying model from the public sector project.How We Turn Your Data into a Private LLM
The projects in this LLM fine-tuning portfolio follow the same core process: we start from a small, well-defined use case, prove value quickly and then scale to more departments or languages. Every step is documented so that IT, legal and management stay on board.
Use Case & Data Workshop
We map a single high-value use case (legal review, support, public sector) and list data sources, constraints and success metrics.
Fixed-Price Proposal
You receive a written scope with a fixed project price, timeline and evaluation plan – easy to show to your leadership and legal.
Fine-Tuning & Internal Testing
We fine-tune the model, run internal tests and let your domain experts try it in a safe staging environment before anything goes live.
Deployment & Next Steps
We support deployment (EU cloud or on-prem) and plan the next wave of use cases once the first one proves its value.
Short, practical articles on legal AI, support copilots and training data libraries for GDPR-compliant private LLMs.
GDPR Compliance Chatbot Solution
GDPR Compliance Chatbot Solution
Data Pipeline Under Scrutiny
Ready to Add Your Own Project to This LLM Portfolio?
If these private LLM case studies match what you want – German legal, multilingual support, public sector or fintech – the next step is simple: a short 15-minute call to map your use case, your data and your internal constraints. Within 24 hours you get a fixed-price proposal you can share with your team.