Private AI.
On Your Hardware.
I build and support on-premise AI search and automation for professional teams across North Atlanta. Core processing runs on your hardware, with external connections documented before deployment. Local inference without per-token API charges.
Watch a document arrive, get filed, and get answered.
Decide Where Your
Data Belongs.
AI can help with repetitive document work, but client records need deliberate handling. Decide where processing happens, who has access and how outputs will be reviewed before connecting a model.
Local and cloud systems have different costs and responsibilities. The right design depends on your workload, existing tools and data requirements.
Data Exposure
External AI providers process the data sent to them. Deployment choices should make those transfers explicit.
Spiraling Costs
Usage-based services need budgets and monitoring. Local systems have hardware, energy and maintenance costs.
Compliance Risk
Hosting location alone does not establish compliance. Access, retention, contracts and operating procedures need review.
Your Company's Private AI Search Engine.
Your hardware. Your access rules.
I set up a private AI search system inside your office network. It searches your indexed documents on your own hardware, with explicit controls for any outside connection.
Local Processing
Core inference and indexing can run on your hardware. External integrations and remote support use only the connections agreed for your deployment.
Chat With Your Documents
Your PDFs, contracts and manuals are indexed on the local machine. Staff ask questions and check cited passages against the source documents.
Private document search →Workflow Automation
Routine intake, routing and drafting run on a local automation engine. A person approves anything before it's sent.
Workflow automation →Private Transcription
Convert meetings, depositions, and dictations to text with SolScribe, the transcription engine I built. Audio is transcribed on your own hardware.
Private transcription →See a document search answer, then check its source.
A sample walkthrough with invented contract text, not a live search or a real client result.
Illustrative answer • sample content
How much notice is needed to end this agreement?
Open the reference to highlight the relevant passage.
Sample services agreement · page 4
8. Termination
8.1 Scope. This section describes how either party may end the agreement.
8.2 Notice. Either party may terminate this agreement by giving the other party 30 days’ written notice.
8.3 Delivery. Written notice must be sent by email to the contact address listed in the agreement.
Interactive concept using invented sample text. This is not a live search, product capture or client result.
Built for Businesses That Cannot
Compromise on Confidentiality.
Legal Practices
Search discovery documents and draft summaries on your own infrastructure, with matter-specific access and attorney review.
AI for law firms →Healthcare & Dental
Automate administrative intake, scheduling and document routing with local processing, controlled access and human review. Available once a business associate agreement is in place.
Wealth Management & CPAs
Search client records and prepare draft summaries with source references. Access, retention and approved integrations are scoped to your firm’s requirements.
Three Steps to Sovereign AI
The Blueprint
I look at where your team's time goes and what your tools and data require, then write up an architecture and a scoped quote within a week.
The On-Premise Build
I specify the hardware your firm buys, then install and test the system in your office, on-site across North Atlanta. A small deployment takes about 2-4 weeks after scoping.
Managed Support
I maintain the system over an encrypted connection your firm controls: updates, monitoring, model upgrades and new automations, each tested before it goes live.
Pricing, Up Front
Hardware, deployment and support are scoped up front. Optional external service costs are listed separately. Hardware purchased separately as a capital asset for your business.
AI Quick Start
- AI readiness audit & blueprint
- Hardware spec & procurement guidance
- Full stack deployment (LLM, RAG, automations, doc management)
- Desktop AI search app (up to 10 seats)
- Staff training session
- 30 days email/chat support
Professional
- Everything in Foundation
- 3–5 custom industry-specific automations
- Full document management with OCR pipeline
- Desktop AI search app (up to 25 seats)
- Hands-on staff training program
- Ongoing system monitoring & updates
- 10 hrs/mo support & optimization
- 4-hour response target in support hours
Strategic Partner
- Everything in Professional
- 10+ custom automation workflows
- Fully isolated deployment option
- Unlimited seats
- Full staff onboarding program
- 25 hrs/mo support & development
- Monthly strategy calls
- 2-hour response target in support hours
A System That Grows With Your Business
This isn't a one-time software install. It's a living infrastructure that evolves alongside your firm — adding new automations, integrations, and capabilities month after month.
Month by Month, Your AI Does More
Every firm starts with the core platform. Over time, I add automations specific to how your business actually works.
Core Platform Live
First Custom Automations
Deep Integration
Continuous Evolution
Example Workflows.
Illustrative workflows to scope and test with your team. These are examples, not measured client outcomes.
"Find all depositions mentioning the crane inspection date."
Retrieve matching passages from an indexed document set, with links for staff to verify the source.
"Find our current patient intake and record-retention procedures."
Return relevant sections from the approved policy library for staff review.
"Summarize all Q4 client risk tolerance updates from our meeting notes."
Draft a brief from authorized meeting notes, with links back to the records for advisor review.
"Pull all K-1s from the Johnson estate filing, last three years."
Find matching documents by client and year. A staff member checks completeness before using the result.
"Route this intake form to the right person and draft an acknowledgment."
New client submits a form → AI classifies it, drafts a response from your templates, and routes it. Staff reviews and sends in one click.
"Find contract clauses that differ from our approved template."
Surface differences with links to the source text. A qualified reviewer decides which differences matter.
Running on My Own Infrastructure
These screenshots come from the system I run for myself, not from client deployments. It handles document processing, AI workflows and private transcription on hardware I own. Some workflows, like email cleanup, connect to outside services.
AI-powered document processor: ingest, classify, chunk, and store — fully automated.
AI refine pipeline: read a note, process it through a local LLM, write it back.
Monthly email hygiene: clean inboxes over JMAP and send a summary report.
SolScribe: upload, record, or auto-capture audio — transcribed privately on-premise.
Frequently Asked Questions
Do I need a server room for this?
No. A small office runs on a Mac mini or Mac Studio that sits on a desk or in a small IT closet. No rack servers or special cooling.
Is local AI as capable as ChatGPT?
It depends on the task, model and hardware. I test candidate models against representative documents and agree on accuracy, latency and review requirements before deployment.
How do you maintain the system if it's offline?
Remote support uses an agreed, access-controlled VPN connection. A disconnected deployment requires an on-site visit or an approved maintenance window; it cannot be maintained remotely while offline.
What does the cost structure look like?
Your firm buys the hardware once, as its own asset. I charge a one-time deployment fee to build and configure the system, followed by a predictable flat-rate monthly retainer to manage updates, build new automations, and upgrade AI models. Local inference has no per-token API charge. Optional external services have their own costs.
What happens if a better AI model comes out?
Model updates are tested against your workload before rollout. Maintenance windows and any staff training are agreed as part of managed support.
How long does the full deployment take?
A small deployment may take about 2–4 weeks after scoping. Data preparation, integrations and your review process determine the schedule; the discovery call establishes a realistic first release.
Do you serve the Atlanta metro area?
Yes. I'm based in Milton and install and support systems on-site across Roswell, Alpharetta, Milton, Johns Creek and greater metro Atlanta, from hardware setup to staff training in person. Service area.
Keep Client Files
Where They Belong.
For law firms, CPAs and financial advisors across Roswell, Alpharetta and metro Atlanta.
Book Your Free Discovery Call