Analysis on private AI, data ownership, and institutional memory — written for the law firms, RIAs, CPA firms, and operators who treat their company knowledge as an asset.
McKinsey built a private AI on a century of firm knowledge and made it the only place consultants can use client data. The playbook for every other firm.
Twenty states enforce privacy laws, AI statutes are live in Texas and California, and courts say consumer AI chats aren't confidential. A brokerage owner's guide.
There is no ethics prohibition on AI in legal practice — there is a duty of reasonable efforts. What the ABA and state bars actually say.
Before your advisors paste client information into a chatbot, here's what SEC recordkeeping and privacy obligations actually require.
Tax return information has some of the strictest disclosure rules in federal law — and most cloud AI usage policies never account for it.
A plain-English comparison of deployment models, data flows, and ownership — without the vendor spin from either side.
Decades of matter history, client context, and judgment walk out the door every year. What preserving it actually looks like.
Private AI, compliance, and data ownership for professional firms — synthesized, source-backed, no filler. The same way Deepvine answers questions.
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