Regulated verticals
Which practice can't send
data to the cloud?
Every experiment is designed for practitioners who can't send client data to a cloud API, and who have reasonable grounds for that reluctance. The question each one answers is the same: does it work, and at what hardware tier?
Financial
1 exp.Independent Financial Advisors & Small RIAs
SEC Regulation S-PGramm-Leach-Bliley Act (GLBA) +3
Legal
1 exp.Solo & Small Law Firms
Attorney-client privilegeABA Model Rules 1.6 (Confidentiality) +2
Medical
1 exp.Solo & Small Medical Practices
HIPAAHITECH Act +2
Accounting
Solo CPAs & Small Accounting Firms
FTC Safeguards Rule (Gramm-Leach-Bliley)IRS Publication 4557 (Safeguarding Taxpayer Data) +3
Don't see your industry? The setup applies to any practice that can't send client data to a third party. Reach out , I'll consider it for a future experiment.
FAQ
Local AI for regulated industries: common questions
- Which regulated industries does Ground Floor cover?
- Ground Floor documents local, air-gapped AI for regulated practices: medical, legal, financial, and accounting. Each industry page explains why the data usually cannot go to a cloud API, the common tasks people want help with, and which of those a local model can handle today.
- Why does local AI matter more for regulated work?
- In regulated work the data itself is the constraint. Patient records, privileged files, and financial accounts often cannot leave the building by rule. A local open-weight model keeps the data on hardware you own, so there is no API call and no third party holding a copy. Nothing leaves the machine, so the one exposure a cloud tool creates simply is not there.
- Does running AI locally make my practice compliant?
- No, and Ground Floor is careful about this. Running a model locally removes one large exposure, the data leaving your control, but it does not by itself make you HIPAA-compliant or satisfy your specific obligations. Those depend on your rules, your specialty, and your carrier. The Scope page spells out what this site can and cannot answer.