Private AI for law, CPA, insurance, real estate and title firms

Stop client data from leaking into public AI and get your team back about 5 hours a week.

We deploy a private AI assistant that knows your files on infrastructure you control, within 48 hours. It can run fully offline on your hardware. There are no ongoing fees.

Apply for an AI Leakage Audit & SprintRequest a Private AI Feasibility Assessment
01 — The problem

Your staff are probably already pasting client files into ChatGPT

  • Staff want to work faster, so they paste contracts, tax returns, claims notes and closing files into public chatbots, often on personal accounts you can't see or control.
  • Once client data is in a third-party tool, you depend on that vendor's retention, training and access policies, and you may have to explain that to a client, a carrier or a regulator.
  • Banning AI doesn't work. People just use it on their phones.
  • The safer option: give them an assistant that's just as useful, running an open-weight model on infrastructure you control. Client data stays inside your environment and goes to no outside AI vendor.

A private deployment lowers the risk of AI leaks. It doesn't replace your own security program and doesn't remove any compliance, ethics or contractual obligations (including SOC 2, if you're subject to it). We don't hold SOC 2 or any other certification. It can run fully offline on your hardware. Client data stays inside your environment and goes to no outside AI vendor.

02 — By industry

What we deploy

The same private assistant, aimed at the work already described for each kind of firm. A person still checks the output.

03 — The sprint

A flat $3,000, delivered in 48 hours

No ongoing fees. You own the deployment. There is no checkout on this site.

01

Data and AI-leakage audit

Where client data goes today, which AI tools staff use, and what should stay private.

02

Model and hardware selection

We pick the right open-weight model and size it for your hardware or your cloud account.

03

Turnkey private deployment

Installed and connected to the document sets you choose, either on your hardware (it can run fully offline) or in your own cloud tenant.

04

Team training

A live session so staff use it from day one, plus a one-page usage policy.

The same approach powers models you can run on your own consumer hardware. Local models for laptops, desktop GPUs, and Apple Silicon.

04 — Payback

Payback, as an estimate

Assumption: the assistant saves about 5 staff hours a week (we estimate this; we haven't measured it at a customer). Wages are the BLS OEWS May 2025 national mean hourly wage. The billed rate for law is from the Clio 2025 Legal Trends Report. Payback = $3,000 ÷ (wage × about 5 h).

Wages: BLS OEWS, May 2025. The $187/h law figure is a non-lawyer billed rate from the Clio 2025 Legal Trends Report, not a BLS wage.

IndustryRole (hourly)Value per weekEstimated payback on $3,000
Law, billed timeNon-lawyer billed at $187/h (Clio 2025 Legal Trends Report)~$935about 3 weeks
Law, wage costParalegal $33.51/h~$168about 18 weeks
CPA / accountingAccountant $45.56/h~$228about 13 weeks
InsuranceInsurance sales agent $39.18/h~$196about 15 weeks
Real estateReal estate sales agent $33.42/h~$167about 18 weeks
Title / escrowTitle examiner $29.97/h~$150about 20 weeks

These are estimates, not guarantees. They count labor cost only. Extra revenue (more billed hours, more returns filed, faster quotes) isn't included. If the team saves more hours, payback is faster. Hours saved are about 5 a week, an assumption, not a measurement. A person still checks the output.

Proof so far is technical, not from customers

Jobs we ran ourselves on public data. We don't have customer case studies, and we don't invent them.

our_runs  ·  public data, published on Hugging FaceREAL — jobs we ran ourselves, not customer runs

finetune · qwen2.5-0.5b-instruct + LoRA

checkvalue
datasetBANKING77, 10 intents
train / held-out test600 / 400
accuracy, base60.75%
accuracy, fine-tuned97.75%

batch · whisper transcription

checkvalue
files processed500 (63.5 min audio)
WER on reference set2.29%
failed0
Apply

Apply for an AI Leakage Audit & Sprint

We run a small number of sprints at a time so each one gets delivered in 48 hours. Tell us about your firm and we'll reply within one business day to say whether it's a fit.

Prefer to talk? jordan@booleinference.com · 650-318-8808

Your data

We never hold your data

Consulting-led deployment. Only what we actually do.

whereYour machines, or your cloudWe set it up over a live remote session on your machines, or directly in your own cloud tenant (AWS, Azure or GCP).
filesThey stay putYour documents stay in your environment. We don't copy them to our servers.
accessRemoved at handoffAccess is removed at handoff, and you control all credentials.
offlineYour hardwareIt can run fully offline on your hardware. The same approach powers models you can run on your own consumer hardware. Local models.
ndaBefore kickoffMutual NDA before kickoff.
limitsNot a compliance programA private deployment lowers the risk of AI leaks. It doesn't replace your own security program and doesn't remove any compliance, ethics or contractual obligations (including SOC 2, if you're subject to it). We don't hold SOC 2 or any other certification. It can run fully offline on your hardware. Client data stays inside your environment and goes to no outside AI vendor.