Voice AI agents is overhyped at the macro level and underused at the workflow level. For a NZ law firm, that gap is where the actual ROI lives - and where most of our work happens.
The version of voice AI agents that law firms still use a year after launch.
Our goal is to give law firms a three-day weekend, so people can spend more time with their families and the people they love :)
What voice AI agents actually does
Never miss a call again. AI phone agents that answer common enquiries, book jobs, and route urgent ones - in a Kiwi voice your customers won't hate.
- 01 Trained on your business hours, services, and pricing
- 02 Books appointments straight into your calendar
- 03 Texts the team for anything urgent
- 04 Full call transcript and audio recorded for QA
Built on: Vapi Retell Twilio OpenAI Realtime
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of voice AI agents runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for law firms first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How voice AI agents compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
Law firms run their businesses unlike anyone else.
- 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.
How we build voice AI agents 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 phone agents.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing law firms the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for law firms
If we build the right slice first, law firms feel the difference inside the first month. 42% of after-hours calls now booked without human input.
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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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.
Anyone else in this space using voice AI agents?
Plenty. 42% of after-hours calls now booked without human input. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.
Can you work with our existing systems?
Yes. The default voice AI agents stack we reach for is Vapi, Retell, Twilio, OpenAI Realtime, 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.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.