Faring AI · Private AI Services

AI for firms that
can't use the cloud.

We design and install AI systems — document search, transcription, drafting assistance — that run entirely on hardware you control. No uploads. No per-seat subscriptions. No vendor with access to your files.

Book a readiness audit — $3,500 flat Watch the 75-second demo
On your hardwareFixed prices, publishedWorks with the network cable unplugged
01 / Who it's for

Teams with a confidentiality obligation — and an AI problem.

Law firms

Your associates are already pasting privileged material into consumer AI tools. In United States v. Heppner (S.D.N.Y. 2026), use of a consumer AI tool was held to destroy privilege and work-product protection — and ABA Formal Opinion 512, with a wave of state ethics opinions behind it, puts the duty to control where client data goes squarely on you.

The safest place for client data is a machine you own. We make that machine genuinely useful: search every transcript, exhibit, and matter file in seconds — locally.

ABA Op. 512 · NYC Bar 2025-6 · Oregon 2025-205 · Texas 705

Medical practices

Cloud scribes and transcription tools mean BAAs, consent-form logistics, and — increasingly — litigation over AI recordings. Under HHS guidance, a vendor with no access to PHI is not a business associate. Software that runs entirely on your hardware and phones nothing home doesn't just shrink the compliance surface — it removes the vendor from it.

Documentation, transcription, and search over your own records, working with the Wi-Fi off.

HHS HIPAA FAQ 256 · state two-party-consent statutes

And anyone like them

Accountants, financial advisors, investigators, researchers under IRB constraints — anyone currently choosing between falling behind on AI and gambling with the data they're obligated to protect.

02 / The offer

Three tiers. Published prices. No surprises.

Start here · 2 weeks

Private AI Readiness Audit

$3,500

Flat fee · credited toward a build

  • Workflow inventory: where AI removes hours — and where staff already use unsanctioned AI
  • Data-exposure map: what leaves your building today, through which tools, under which agreements
  • Hardware assessment: what your existing machines can run locally right now
  • Prioritized, costed roadmap: build, buy, or ban
  • Live proof-of-concept on a slice of your documents, on your machine — not slides
Book the audit
Then · 4–8 weeks

Fixed-Scope Build

from $15,000

Price fixed before work starts

  • A production system installed on your hardware
  • Private search across matter files, records, transcripts, and recordings
  • Local transcription pipelines and drafting assistance grounded in your own precedents
  • Staff onboarding and a written runbook
Discuss a build
Ongoing · optional

Care & Updates

from $2,000/mo

Cancel anytime — the software keeps working

  • Model updates and new-capability rollouts
  • Monitoring and priority support
  • Quarterly workflow review
  • It's on your machines, not ours — cancelling never bricks anything
Ask about care

If the audit finds nothing worth building, it says so — you keep the roadmap and the exposure map either way.

03 / How it works

Three steps, about three hours of your team's time.

A 30-minute call

You describe the workflows; we tell you honestly whether local AI fits. If it doesn't, we say so — the audit is only worth buying if there's something to find.

The audit, two weeks

Mostly asynchronous. We work on structure and samples you choose — we never take custody of client data.

Readout, live on your data

A working search box over your own documents, running on your machine, during the meeting. If you proceed to a build, the audit fee is credited.

04 / See it

Seventy-five seconds, zero uploads.

The engine behind our products — transcription, semantic search, OCR, and face and scene recognition — running fully on-device. This is the same technology we install for clients.

Recorded locally. Every result in this video was produced on a single machine with no network access.
05 / Why Faring

We ship this technology as products, not decks.

Production, not prototype

Our on-device engine — Whisper-class transcription, semantic search, OCR, face and scene recognition — runs in shipping apps today, including MediaFind and Adduce.

Verifiable, not "trust us"

The systems we install work with the network cable unplugged. We encourage you to test exactly that.

One machine, flat cost

A local system replaces a stack of per-minute, per-seat cloud bills. The economics improve every month you own it.

06 / Questions

The honest answers.

Is local AI as good as ChatGPT?

For open-ended reasoning, frontier cloud models are stronger. For the workflows firms actually need — find, transcribe, summarize, draft-from-precedent over your own documents — local systems are excellent, and they're the only option that keeps you in full control of client data.

What hardware do we need?

Often none: Apple Silicon Macs and modern workstations handle most workloads. Where more is needed, a single Mac mini or small server — typically $1–3k, which you own — does the job.

Do you need access to our client files?

For the audit, no — we work on structure and samples you choose, and the proof-of-concept runs on your machine with us guiding. Builds are designed so we never take custody of your data.

We're a three-person firm. Is this for us?

The audit is sized exactly for you. Enterprise consultants won't return your call; we built this offer because nobody serves the small firm with big confidentiality obligations.

Stop choosing between AI and confidentiality.

One email starts it: tell us what kind of work you do and what you wish were searchable. We'll tell you — honestly — whether local AI fits.

Book the audit Ask a question first