Demand Signals deploys private, self-hosted language models for businesses where data sovereignty is non-negotiable — because 61% of enterprises cite data privacy as their top barrier to AI adoption, and fine-tuned private models can match frontier model performance on domain-specific tasks.
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Private LLMs run on your infrastructure — on-premise hardware or a dedicated private cloud instance. We handle model selection, deployment, fine-tuning, and ongoing maintenance. Your data never leaves your network.
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A Federal Court Just Ruled Your AI Conversations Are Discoverable
In United States v. Heppner (SDNY, February 2026), Judge Rakoff held that documents generated using a public AI tool are not protected by attorney-client privilege. The court found that Anthropic's privacy policy — which permits data collection, model training, and disclosure to governmental authorities — destroyed any reasonable expectation of confidentiality. Privilege was waived the moment the data entered the platform.
This ruling doesn't just apply to consumer chatbots. Most “legal AI” SaaS platforms are API wrappers around the same public models.Your case facts travel from the vendor to OpenAI, Anthropic, or Google's servers — where the provider's terms govern. Under Heppner, that's a third-party disclosure. Privilege is gone. And that is a malpractice attack surface.
On-premise private LLMs are the only architecture where privilege is inarguable. No third-party terms of service. No API calls to subpoena. No data leaving your firm's network. We deploy complete systems — hardware, model, document onboarding, internal agents, and secure networking — for solo practitioners starting at $8,500 and small firms from $25,000.