Private AI for Law Firms in Minneapolis & Minnesota
Use AI on privileged material without sending a single word to a public AI service
Your attorneys already want AI for drafting, summarizing depositions, and searching case files. Your confidentiality obligations under Rule 1.6 are why they can't paste client material into ChatGPT. ABA Formal Opinion 512 makes the duty explicit: lawyers using generative AI must safeguard client information against disclosure to third parties—including the AI vendor itself.
Newbloom AI resolves that tension with a private AI environment dedicated to your firm: a modern language model running on single-tenant infrastructure in Minnesota, on a server inside your office, or in your firm's own Azure tenant. Client documents never transit a shared public AI service, are never used to train anyone's model, and stay inside a boundary your firm controls—so your existing confidentiality posture extends to AI instead of being an exception to it.
We are a Minnesota veteran-owned firm that builds and operates production AI with human review at its core—the same discipline we bring to our Department of Defense SBIR work. We sign your NDA, provide a written data-handling statement your clients and malpractice carrier can read, and give you a named engineer, not a ticket queue. Managed private AI for a small firm starts at $1,500/month.
Direct Procurement Contact
Aaron Newbloom, Operations Manager
What Your Firm Can Do With It
- Draft letters, memos, and routine filings from your own precedents
- Summarize depositions, discovery, and long records in minutes
- Ask questions across matter files and get cited answers from your documents
- Prepare intake summaries and chronology drafts for attorney review
- Standardize contract review checklists with human-verified output
- Every AI draft is reviewed by your people—AI-drafted, human-approved
Why It Preserves Confidentiality
- Single-tenant model—your firm's environment, nobody else's data or ours
- Zero training on your data, in writing; defined retention you control
- Options: hosted in Minnesota, on-premise at your office, or your Azure tenant
- Access controls and audit logs support your supervision duties (Rule 5.3)
- Aligned with ABA Formal Opinion 512 confidentiality analysis
- Engagement-level confidentiality—we never name clients without consent
Law firm private AI questions
What managing partners and firm administrators ask us most.
Using a public AI tool on privileged material creates real risk: ABA Formal Opinion 512 requires lawyers to evaluate whether client information is disclosed to or retained by the tool's provider, and Model Rule 1.6 requires reasonable efforts to prevent unauthorized disclosure. A private AI environment changes the analysis—the model runs on infrastructure dedicated to your firm, no third party processes or retains client data, and your existing confidentiality controls apply. Your ethics counsel makes the final call; we provide the written technical facts they need.
The highest-value uses we see: summarizing depositions and discovery, drafting routine correspondence and first-pass documents from your own precedents, answering questions across matter files with citations to the source documents, and building intake or chronology summaries for attorney review. It does not replace legal judgment—every output is a draft for a lawyer to verify, which is also what Opinion 512 expects.
Three options: (1) managed hosting on single-tenant hardware in Minnesota that we provision and operate for your firm; (2) an on-premise server installed inside your office, behind your firewall; (3) your firm's own private Microsoft Azure tenant. In all three, documents stay in your dedicated environment, are never used to train any model, and retention is defined in writing.
For drafting, summarization, and document Q&A, current open-weight models running on 96 GB-class GPUs perform comparably for most firm workflows. We prove it rather than assert it: the pilot includes a blind side-by-side comparison on your real (sample) documents, reviewed by your attorneys, before you commit to anything monthly.
Managed private AI starts at $1,500/month plus a one-time setup engagement; on-premise installations are quoted individually. It starts with a discovery call and a fixed-price pilot under NDA—we stand up the private environment, load sample documents, and your attorneys evaluate real output on real work. One recovered associate-hour per day typically covers the subscription several times over.
A Minnesota-based, SBA-Certified Service-Disabled Veteran-Owned Small Business. Our founders build and operate Lot Lingo, a production AI platform that has processed over 500,000 items with human-in-the-loop review, and we work in the Department of Defense SBIR ecosystem with credentialed federal security partners—so confidentiality and accountability are operating conditions for us, not marketing language. You can meet us in person.
Ready to talk?
Direct line to Aaron Newbloom. No forms to fill out — call or email and you'll hear back within one business day.


