Pricing · Bought once

Pay once. Then stop paying.

Per-seat monthly pricing means the tool costs more every time the firm grows, forever, and the meter never stops.

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What disappears from the budget

And what stops being an annual negotiation.

The per-seat line

Cost follows workstations, not headcount. Hiring three associates does not increase the software bill.

The usage meter

Nothing counts prompts, documents or matters — so nobody decides to skip running it on a matter to manage a number.

The renewal conversation

There is no renewal. No annual uplift, no repricing, no migration to a new tier.

The dependency

The software runs on your machine. It does not stop working because a contract lapsed or a provider changed direction.

What stays true on every matter

These do not change by practice area, firm size, or the question asked.

Nothing leaves the firmNo cloud, no API call, no telemetry. The matter is read on hardware the firm owns.

Owned, not subscribedA one-time purchase. No per-seat monthly fee and no usage meter.

Citations verified on-machineAuthority is checked against a local corpus, not recalled from a model’s memory.

The entire matterFull workup across the whole file — not a chat window over one document.

Runs on your workstationA current RTX-class GPU. Designed to run with no internet connection at all.

Bring the invoice and we will do the arithmetic.

Software plus a workstation against thirty-six monthly payments across your headcount. It is usually a short conversation.

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Questions firms ask

The answers below are specific to this page’s subject.

What is the total cost of ownership?

The software as a one-time purchase, plus a workstation the firm buys and owns, plus the attorney review any AI output requires. We would rather set all three out than quote only the first.

Are updates extra?

Updates are available and delivered deliberately, because the machine is offline by design. Not taking one does not stop the software running.

What if we need more capacity?

Add a workstation. Capacity scales with machines, which is a visible and predictable cost.

Is there a catch?

The honest one is hardware: it needs a current RTX-class GPU, and that is a real purchase. We would rather say so now than after you have bought the software.

Other pages covering the same ground from a different angle.

Owned (not subscribed) legal AI Owned legal AI vs subscription legal tools Offline legal AI for solo practitioners Private AI for small law firms Local / hardware-based legal AI (no cloud) On-premise vs cloud legal AI

See it run on a real matter.

A briefing walks the whole path — intake, workup, the Adjudicator's pass, and the work product that comes out the other side.