Rendex exists because law firms shouldn't have to choose between productivity and privilege. Private cloud AI, sealed inside a hardware-attested confidential compute enclave, cited to the source.
Generative AI is transforming how legal work gets done. But for law firms, adoption comes with a problem most AI companies ignore: attorney-client privilege.
Many consumer and general-purpose AI tools require careful review of retention, review, and disclosure terms before they are used in privilege-sensitive workflows. For a law firm, that's not a privacy inconvenience — it's a potential risk to privilege on every client matter processed through those systems.
In February 2026, a federal court made this explicit. Judge Rakoff ruled in United States v. Heppner that documents generated using consumer AI are not privileged. The reasoning was simple: when you share client information with a third-party platform that can review it, confidentiality is gone.
We built Rendex before that ruling — because the legal analysis pointed in this direction. The ruling just proved the market needed to catch up.
AI that can't cite its work is useless to a lawyer. Every Rendex answer references the exact document, section, and page.
No shared tenancy. No third-party training. No terms of service that let anyone review your prompts. Every workflow runs inside a dedicated confidential compute enclave where not even the cloud operator can read plaintext.
Confidence scoring and per-sentence grounding checks flag unsupported claims automatically. The system tells you when to verify.
No hardware to procure. No servers to rack. We provision a dedicated confidential enclave on Azure in your region. Attorneys open a browser. That's the entire setup.
Matthew built Rendex to solve a problem he saw firsthand: law firms that wanted to use AI but couldn't get past the compliance conversation. The answer wasn't better terms of service — it was hardware-attested isolation from every third party, including the cloud operator. Rendex runs inside a confidential compute enclave sealed at the hardware level, because cryptographic exclusion of outside parties materially reduces third-party disclosure risk in privilege-sensitive workflows.
15-minute demo. Your questions. Real answers with real citations.
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