Phala just recently helped an immigration law firm in California use AI while upholding strict client confidentiality. At their request, the firm’s name remains undisclosed.
Here's how they did it (and why it matters for every lawyer) 👇
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The AI risks for the lawyers felt real:
🫥 Opaque public LLMs
🫥 Unsustainable costs for dedicated GPUs
🫥 No verifiable proof that data stayed private
California’s confidentiality and supervision rules demand control and accountability over client data and tech vendors.
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To enable safe AI adoption, Phala created a "Confidential AI Model Rental" service. Think of it as your own private ChatGPT that:
🔹 Runs in hardware-secured enclaves
🔹 Bills by the hour (~$3.2/GPU hour)
🔹 Can be turned on/off instantly
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The results? Instead of paying per query (which gets expensive FAST with legal documents), this law firm’s clients now pay a simple flat hourly rate.
The service runs on an OpenAI-compatible API, so existing tools work instantly (just point them to the private endpoint). With this setup, the firm handles research, document review, and drafting with AI assistance while maintaining full client confidentiality.
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Lawyers can now use state-of-the-art AI while upholding their professional duties. No more choosing between efficiency and ethics.
Phala Cloud can host a variety of AI models tailored to your needs, and your infrastructure stays future-proof as new models emerge.
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