AI outbound sales 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.
Law firms · Applied AI
AI outbound sales that fits a law firm's week, not the other way around.
What AI outbound sales actually does
An AI sales agent that runs your outbound — researches prospects, personalises the pitch, sends the first 3 touches, and only hands a warm reply to a human. Hits the activity numbers no SDR can keep up with, without the spammy blast feel.
- 01 Lookalike prospect lists built from your best existing customers
- 02 Personalised first-touch emails and LinkedIn messages — not templated
- 03 Auto-followups across email + SMS until they reply or opt out
- 04 Warm replies routed straight to your CRM with full context
Built on: Claude + GPT-4 for messaging Apollo / Clay for enrichment HubSpot or your existing CRM Twilio for SMS, Gmail / Outlook for email
Without Kiwi Dynamics
With Kiwi Dynamics
Sector reality
Law firms need software built around their week, not against it.
- 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 AI outbound sales 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. Outbound that doesn't sleep.
Talk to usThe outcome for law firms
The shape of the result for law firms: One NZ SaaS team replaced two outbound SDRs with an AI agent + one closer — 3× the meetings booked, same pipeline cost. Built on Claude + GPT-4 for messaging, 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
What's the realistic outcome for law firms?
One NZ SaaS team replaced two outbound SDRs with an AI agent + one closer — 3× the meetings booked, same pipeline cost. We don't promise tenfold lifts because we don't see them outside of marketing decks.
Can you work with our existing systems?
Yes. The default AI outbound sales stack we reach for is Claude + GPT-4 for messaging, Apollo / Clay for enrichment, HubSpot or your existing CRM, Twilio for SMS, Gmail / Outlook for email, 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.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Get in touch
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.