Plain-language answers to AI-privacy questions.
A knowledge base for non-technical teams weighing AI, data, and risk. Written in plain terms, without vendor jargon or fearmongering.
What Happens to Your Data When You Use a Public AI Chatbot?
The plain-language rundown of where your inputs go, why 'it's just a question' can still be an exposure event, and three questions to ask before you paste.
Read outlineCan Using AI Accidentally Put Your Patent at Risk?
Why 'novelty' matters, what counts as disclosure, why it's riskier outside the US, and a safer pre-filing workflow.
Read outlineIs a Public AI Chatbot a Patient-Privacy Risk Waiting to Happen?
The basic rule healthcare privacy law sets, why it gets missed by small practices, and what a compliant setup looks like.
Read outlineWhat Client Confidentiality Means in the Age of AI
The duty that doesn't go away, why privilege isn't automatic with AI tools, and a practical AI policy for a small firm.
Read outlineOn-Prem vs. Cloud AI: What Actually Changes?
A fair comparison. What cloud AI is genuinely good at, where it creates exposure, and a simple way to decide which work goes where.
Read outlineWhat Is Agentic AI, and Why Should a Small Business Care?
The difference between a chatbot and an agent, and where the 'do more with the team you have' value actually shows up.
Read outlineTrade Secrets and AI: What Biotech and Life Sciences Teams Need to Know
Where AI tools quietly introduce trade-secret risk, and a safer way to use AI in early-stage R&D.
Read outlineAI and Controlled Technical Data: What Defense and Dual-Use Startups Should Know
Why some technical data can't 'just go to the cloud', why it's easy to violate by accident, and why this now applies to small subcontractors.
Read outlineData Sovereignty, GDPR, and Why 'Where' Your AI Runs Matters
Physical location isn't the whole story. Why on-prem AI sidesteps most cross-border data questions, and why this resonates in the Nordics.
Read outlineHow to Write a One-Page AI Use Policy for a Small Team
Why a short policy beats a 20-page one, the five things every AI policy should cover, and a simple starting template.
Read outlineWhat Can a Local AI Box Actually Do? Vision, Voice, and Document Intelligence Explained
Modern open-weight models cover writing, reasoning, vision, voice, and document search across enormous collections, all without a byte leaving the building.
Read the guideOpen-Weight AI Models Explained in Plain English
What 'open-weight' means, why 'how big' isn't the same as 'how good' (MoE in plain terms), what a context window is, and where the frontier still needs real infrastructure.
Read the guideOne plain-language AI-privacy guide, once a month.
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