Generates fast summaries, key points, timelines, and briefs
Answers complex legal questions using your company’s own data
Automates document intake and routing
Delivers results to your team in minutes
Operates entirely inside your secure environment
Uses no external APIs — zero data leaves your company
Who It’s For Law firms that must maintain strict confidentiality and want AI automation without exposing documents to third-party systems.
Built for Confidentiality
100% isolated environment
No OpenAI/Anthropic
Full control over security
Designed for firms with strict confidentiality standards
What Your Team Can Do With It
Upload any case or contract → get instant summaries
Search across all internal documents with natural language
Auto-route documents to paralegals for review
Generate risk notes, arguments, outlines, and reference lists
Automate repetitive legal tasks that normally take hours
Access a private ChatGPT-style assistant trained on your data
The Benefits
Saves tens of hours per week
Reduces manual document work
Speeds up case preparation
Improves accuracy and consistency
Pays for itself in 1 quarter
No need to hire an AI team
What You Get (Blueprint Included)System architecture
Ready-to-use n8n workflows
Document processing pipeline
Secure access flow
Setup instructions
Testing & validation checklist
Tech Stack This automation runs on a fully private AI system built around LLaMA 3 (70B) — deployed in an isolated environment with no external APIs and full control over security and data handling.
Core Components• LLaMA 3 70B (quantized + optimized with vLLM) A powerful self-hosted AI model capable of reading long legal documents, generating summaries, answering complex questions, and assisting with legal analysis. • CoreWeave Hosting with Dual A100 GPUs High-performance GPUs ensure fast processing, low latency, and reliable performance for large-scale legal workloads. • ChromaDB (Vector Database) Stores processed documents in an encrypted, searchable format so the AI can instantly find relevant information during queries. • LlamaIndex (RAG Pipeline) Retrieval-Augmented Generation pipeline that connects documents, search, and the AI model — enabling real-time answers based on your firm’s internal data. • n8n (Automation & Orchestration Layer) Handles the full workflow: – monitoring new documents – converting & embedding files – indexing them in ChromaDB – triggering summary creation – routing results to staff (email/Slack) – maintaining logs for compliance – processing employee queries • Streamlit Interface (Internal UI) A clean, simple application where staff can upload documents, search cases, ask questions, and get summaries — no technical skills required. • Security Layer – JWT authentication – IP-restricted access – encrypted storage & logs – complete audit trail – no data leaves the infrastructure
💻 Minimum System Requirements (for companies that want to host it themselves) :
Mac Studio M2 Ultra / M3 Ultra
(32–64 GB RAM minimum)
Or MacBook Pro M4 Max — 128 GB RAM
Storage: 1–2 TB SSD
Ability to run Docker or local containers
Suitable for quantized models (smaller than 70B)
Works for testing, document automation, smaller models, or lighter workloads.