AI · Law firms

On-premise AI for law firms.
Private LLMs, zero extra-EU traffic.

Open-weight models (Llama, Mistral, Qwen) run on dedicated EU GPUs. Document research, summaries, first drafts, RAG on your archive. Everything stays inside the firm's perimeter, no prompts exposed to third-party vendors.

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Reference stack

Open models, dedicated infrastructure, RAG on your archive.

→ Open-weight LLMs from Llama 3.1, Mistral, Qwen 2.5 — chosen per use case and confidentiality level.
→ Dedicated NVIDIA GPUs (A6000 / L40S / H100), serving via vLLM or Ollama, throughput sized to your number of users.
→ RAG on internal archive with Qdrant: contracts, rulings, case files indexed, citations back to source documents.
→ SSO + per-user audit log: every prompt and answer is traced and attributable, agreed retention.
→ No traffic to LLM vendors: everything stays inside the EU perimeter, GDPR-compliant by design.

Reference setup

Reference setup: firm with 4–8 concurrent users.

1 dedicated GPU server in an EU datacenter, ~32k tokens/min aggregated throughput, RAG over ~100k indexed documents, SSO with the firm's Active Directory. Fixed monthly fee, cost decoupled from prompts executed.

4–8

concurrent users

~32k

tokens/min

data residency

When we use it

Where we use it.

Case law research

Natural-language queries over case law and internal rulings, with citation to the original documents.
Contract summary and analysis

Reading long contracts, extraction of risk clauses, comparison between versions.
First drafts

Generation of first drafts (deeds, briefs, letters) with the firm's templates, human review kept in place.
Correspondence triage

Classification and prioritisation of incoming email/PEC by role, deadline, subject matter.
Client file research

Q&A over the client archive: timeline of deeds, parties involved, deadlines, relevant attachments.
Internal knowledge base

Firm memory: precedents, practices, partner notes, cross-cutting semantic search.

Free audit

Let’s talk about your stack,
free, no strings attached.

30 minutes with a Romiltec architect. Together we figure out whether Tech Performance is a fit, and if it isn’t, we tell you straight away. No cold pitch, no black-box quote.

Book a call cal.com/romiltec/tech-performance · 30 min call

On-premise AI for law firms. Private LLMs, zero extra-EU traffic.

Open models, dedicated infrastructure, RAG on your archive.

Reference setup: firm with 4–8 concurrent users.

Where we use it.

Let’s talk about your stack,free, no strings attached.

On-premise AI for law firms.
Private LLMs, zero extra-EU traffic.

Let’s talk about your stack,
free, no strings attached.