Legal AI sits tightly with data privacy and jurisdiction. Running models in-country on your own server – the RTX 5060 Ti 16GB at our UK hosting – resolves most confidentiality concerns.
Contents
Legal Workloads That Fit
- Contract review: Llama 3 8B or Qwen 14B AWQ, 32k context for typical contracts
- Clause extraction: structured output via function calling
- Precedent search: BGE embeddings over case database + reranker
- Legal Q&A: RAG over internal KB + curated public law
- Document drafting (first pass): with strict human review
Recommended Stack
LLM: Qwen 2.5 14B AWQ (higher quality for legal reasoning)
Embedding: BGE-large-en-v1.5 (better recall on long legal text)
Reranker: BGE-reranker-large
Vector DB: Qdrant or pgvector over case corpus
OCR: PaddleOCR for scanned contractsAccuracy Notes
- Qwen 14B AWQ at ~70 t/s decode is an acceptable quality/speed trade
- For highest accuracy, use speculative decoding or upgrade to RTX 5090 to fit Llama 70B AWQ
- Always require cited passages – never trust unsupported LLM claims in a legal context
- Low-confidence answers should surface uncertainty in the UI
Compliance
- UK-hosted dedicated box: data stays in UK jurisdiction
- Full disk encryption at rest, TLS in transit
- Audit logs for every query and document access
- Model outputs labelled as AI-generated where client-facing
- No data shared with any third-party (no OpenAI / Anthropic call-outs)
For solicitor firms and in-house legal teams, self-hosted AI is a privilege-safe way to get productivity gains without new vendor risks.
Legal AI on Blackwell 16GB
UK-hosted, encrypted, audited. UK dedicated hosting.
Order the RTX 5060 Ti 16GBSee also: document Q&A, Qwen 2.5 14B, OCR, SaaS RAG.
