Paste a client's matter into a cloud AI and you've just routed privileged, confidential information through a third party's servers. Local AI keeps the work inside the firm — on hardware you own, powered by your own sun, where nothing crosses the wire.
Early lane · honest read first · SideGuy is the layer, not the panel installer.
Your duty of confidentiality and the attorney-client privilege both assume you control where client information goes. The moment a matter, a draft, or a discovery document passes through a cloud AI, it lands in a third party's infrastructure and logs — which raises real questions about waiver, work-product, and your ethical obligations. A vendor's terms-of-service is not the same as control.
Local AI keeps the work where it belongs. The model runs on a machine the firm owns, in the firm's office, on the firm's power. Drafts, research, summaries, and document review happen without anything leaving the building. No third-party processor sits between you and your client's confidences.
For firms, that's not paranoia — it's the baseline the rules of professional conduct already imply.
Two facts stack into an edge almost nowhere else has both of.
San Diego carries some of the steepest electricity rates in the country — which is why owning your own power matters more here than almost anywhere.
Year-round irradiance among the strongest in the nation means solar pays back fast — then your power, and the AI it runs, is effectively free to operate.
San Diego's steep grid power makes owning your own solar pay back fast — and that solar can run the confidential AI your firm needs with no per-call meter. The ethics answer and the cost answer are the same build.
Straight talk: local AI doesn't replace your judgment, your conflicts checks, or your supervision duties — and you still verify everything a model produces. What it removes is the confidentiality problem of sending privileged material to a third party. It's the strongest answer to "is it okay to use AI on this matter?" — because nothing left the firm.
For the hardest frontier reasoning, big cloud models still win — so the smart move is a portfolio, not a religion: run the high-volume, private, cost-sensitive 80% on your own sun; reach for a frontier model for the hard 20%.
If that sounds like your kind of bet, text me and we'll figure out what it looks like for your business — straight, no deck.
Same work. Two very different relationships with it.
We're the layer — not the panel installer, not the model-maker. Two clean choices, no tech soup.
We map the 80% that runs great locally vs. the 20% that still wants a frontier model.
Match panels and machine to the work, and connect you with the right local installers. You own it.
Running, private, on your power, with a plain-English handoff so you control it, not us.
It's an unsettled, fact-specific area — which is exactly the risk. Sending privileged or confidential client material to a third-party AI raises real questions about reasonable confidentiality measures and potential work-product issues. Local AI sidesteps the question: if nothing leaves the firm, there's no third party to argue about. (This is general information, not legal advice — your bar's guidance controls.)
Drafting and revising documents, summarizing depositions and records, research over your own briefs and matter files, intake, and internal document search — all on hardware you own. The everyday, confidentiality-sensitive 80% is what local models do well today.
For drafting, summarizing, and search over your own materials, modern local models are genuinely capable — and you verify output the same way you'd verify any associate's. For the hardest novel reasoning, a frontier model still wins; the smart setup is a portfolio, with confidential work staying local.
AI hardware runs on electricity, and San Diego's grid rates are among the highest in the country. Solar pays back fast here, so your firm's private AI runs on power you own — no per-call cloud meter. The confidentiality win and the cost win are the same build.
We're the layer. We scope the firm's real workflows, size the solar and compute, choose the right local model, and set it up so it just runs — with a plain-English handoff so the firm owns and controls it. Text PJ for an honest read.
Private AI on your own San Diego solar keeps privileged work inside the firm — nothing crosses the wire. Text PJ for an honest read.