Law firms · Applied AI

AI document processing that fits a law firm's week, not the other way around.

There is a version of AI document processing that law firms buy off a shelf and quietly stop using inside a month. Then there's the version that's wired into your real workflow, owned by a person on your team, and still in use a year later. We only build the second one.

What AI document processing actually does

Scanned invoices, signed contracts, handwritten timesheets, PDF specs – extracted into clean data and routed where they belong. No more typing what someone already wrote.

  • 01 Vision models read scans, photos, and handwriting
  • 02 Pushes structured data into Xero, your CRM, or sheets
  • 03 Confidence flags route low-certainty docs to a human
  • 04 Handles te reo, bilingual forms, and old NZ templates

Built on: Claude Vision AWS Textract Mistral OCR Vercel

Field notes

What years of building for law firms taught us.

  • Law firms bill for judgement, but a huge share of the week still goes on intake, document review, and status updates.
  • New matter intake and routine client updates are the two places firms lose the most billable time to admin.
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How we build AI document processing for law firms.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a law firm business, so value lands before the build is finished. AI for paperwork.

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The outcome for law firms

The shape of the result for law firms: Cuts data-entry labour by 80% on invoices, POs, and timesheets. Built on Claude Vision, hardened with the rest of the stack as it scales.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

What's a typical engagement length for law firms?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Can you walk us through a comparable build?

Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Cuts data-entry labour by 80% on invoices, POs, and timesheets.

Can you work with our existing systems?

Yes. The default AI document processing stack we reach for is Claude Vision, AWS Textract, Mistral OCR, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Ready to talk specifics?

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.