How One Person Made $35K Selling a Private ChatGPT to a Law Firm — And How You Can Too
A Reddit post recently went viral: someone closed a $35,000 deal with a law firm by building them a private ChatGPT-style assistant.
No OpenAI. No cloud APIs. Just a secure, on-premise AI tool tailored for internal use.
Why did this work? Because many law firms — and companies in healthcare, finance, or government — can’t use public LLMs due to privacy, security, and compliance risks.
They need private AI.
What the Law Firm Actually Wanted
The founder initially pitched chatbots. The law firm wasn’t interested.
Instead, they said:
“We want to automate our receptionist and improve internal workflows — but the system must be private.”
That’s where the deal flipped. The founder delivered a private LLM that:
Why This Model Works
How to Build It
LLM: Use open-source models like LLaMA 2/3 (70B)
Orchestration: Use n8n for automation workflows
Infra: Deploy on RunPod or any GPU server
Interface: Add a secure internal chatbot UI
Data: Connect to private documents, CRM, HR systems
All open-source. All deployable today.
Full Breakdown (Video)
Watch the full video breakdown here: ▶️ How He Closed a $35K AI Deal with a Law Firm
Why This Is a Huge Opportunity
This isn’t just about AI. It’s about delivering outcome-driven tools companies trust.
If you’re building in AI — this is a blueprint for $5K–$50K service contracts or a scalable private AI SaaS.