Adopt AI without sending privileged client communications or attorney work product to a third party. Sovereign AI keeps them inside your four walls — where there is nothing for an opposing party to subpoena from a vendor.
Talk to CraigPartners, clients, and courts all expect your firm to use AI. But most of the obvious tools — consumer chatbots, seat-based assistants, generic SaaS AI — work by sending your text to a third-party vendor that then holds a copy of it.
For a law firm or legal department, that vendor copy is the problem. A third party that receives privileged communications or work product is a holder of discoverable material and a party that can be subpoenaed. And voluntary disclosure of privileged content to an outside party is exactly the fact pattern an opposing counsel uses to argue waiver of attorney-client privilege or work-product protection.
The result: attorneys are being asked to move faster with AI while carrying a duty of confidentiality that predates every one of these tools. The path forward is not "ban AI" or "trust the vendor" — it is to keep the AI, and the data it touches, inside the firm.
AI capability and the duty of confidentiality are the same conversation. Sovereign AI is how a firm says yes to AI without creating a new external holder of its clients' confidences. I help managing partners, general counsel, and legal-ops leaders build AI capability on infrastructure the firm controls — so the analysis of "where does the data go?" has a one-word answer: nowhere.
On-premises or firm-controlled private-cloud AI — your servers, your tenancy, your jurisdiction. Matter data never transits an external AI vendor's systems.
Open-weight models (Llama, Mistral, Gemma, Qwen) you can inspect, run in-house, and version. No prompts shipped to a vendor endpoint, no model swapped out from under you.
AI respects your existing ethical walls and access controls — conflicts screens, matter-level permissions, and need-to-know boundaries — rather than a parallel access regime.
Every prompt, response, and model version logged inside the firm. If you ever need to show what the AI did on a matter, the record is yours — not a vendor's to produce.
The architecture, not a policy PDF, is what keeps client confidences in-house. Safeguards are structural and demonstrable.
Current-state assessment of AI use across the firm, exposure mapping against confidentiality and privilege considerations, build-vs-buy-vs-host recommendation, and a briefing your partners or GC can act on.
Reference architecture for a four-walls deployment, model selection, and integration with your document management, matter management, and identity systems.
Hands-on coordination across IT, security, records, and practice leadership. Governance built to align with your confidentiality obligations — not bolted on afterward.
I work with legal leaders for whom confidentiality is not a feature request — it is the practice.
Adopt AI on infrastructure the firm controls. Strategy, architecture, and implementation designed around confidentiality and privilege, not the vendor's terms of service.
Keep privileged communications and work product in-house. Remove the external vendor that a subpoena would target and a waiver argument would point to.
A privileged-inbox triage system that classifies, routes, and drafts entirely on firm-controlled infrastructure — email never leaves the network. Proof, not a pitch.
Model registry, prompt/response logging, and version lineage kept inside the firm — a record you can stand behind to a client, a court, or your own risk committee.
AI that honors conflicts screens and matter-level access boundaries, integrated with the document and matter systems you already run.
A 25-year track record of 99.99%+ uptime in environments where downtime is not an option — brought to the systems your practice depends on.
I do not resell an AI product. Recommendations are grounded in your firm's obligations and constraints, not partnership economics.
When a client asks where their matter data goes, or an OCG audit asks which vendors touched it, sovereign AI lets you answer plainly and defensibly.
A short call helps identify where AI is already touching privileged material in your firm, and whether a sovereign, four-walls approach can reduce that exposure while still giving your attorneys the leverage they want.
Talk to CraigThat is genuinely unsettled and fact-dependent, and I am not going to tell you it definitely does — that is your privilege analysis to run. What is clear is the mechanism a waiver argument uses: voluntary disclosure of privileged content to an outside party. A third-party AI vendor that receives your text is such a party. Sovereign AI reduces the surface for that argument by removing the outside disclosure altogether — the data never leaves the firm.
Enterprise tiers narrow the risk; they do not eliminate the vendor. Your text still leaves your walls, a third party still processes and can retain it, and that third party can still receive a subpoena. Enterprise SaaS AI is a reasonable choice for genuinely non-confidential work (public-record research, general drafting with no client facts). It is the wrong tool for privileged communications, work product, or anything under an outside-counsel guideline that says the data stays in-house.
A policy without architecture is hope. Associates paste client facts into consumer chatbots to hit a deadline — the policy did not stop it. Sovereign AI is the technical answer that makes the policy enforceable: a sanctioned in-house tool attorneys actually want to use, so the confidential data has somewhere to go that never leaves the firm.
No. Sovereign does not mean "build a data center." It means the firm controls the data, the model, and the audit trail. That can be an on-premises server, a firm-controlled private-cloud tenancy, or a hybrid — scaled to a boutique or a large department. The test is control, not square footage.
I integrate with your existing IT, security, and risk/general-counsel functions, fill the specific gap (sovereign AI architecture and governance), and operate as part of the team rather than an outside vendor. Engagements range from an advisory retainer to hands-on implementation leadership.
25+ years leading technology in mission-critical, confidentiality-driven environments.
Proven results: 99.99%+ uptime, 95% downtime reduction, 100% audit pass rate across strict regulatory frameworks.
For legal: Sovereign AI strategy and architecture that keeps privileged communications and work product inside the firm — with a working privileged-inbox triage system as the reference implementation.