Most law firms we talk to aren't short of dashboards or tools - they're short of an hour back in the week. That's the lens we put on AI customer growth: not a tech showcase, but a careful look at the one or two workflows where a law firm is paying for the same problem to be solved twice.
For law firms who want results in weeks, not a year-long transformation programme.
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 AI customer growth actually does
A done-for-you AI growth engine that runs the full top-of-funnel motion - lookalike prospecting, multi-channel outreach, qualification, and meeting booking - and hands warm conversations to your closers. The 'just get me more customers' button, run by an AI agent.
- 01 Defines your ideal customer profile from your existing best accounts
- 02 Builds and refreshes prospect lists weekly
- 03 Owns first contact through to booked meeting
- 04 Reports weekly on what's working - and stops what isn't
Built on: Claude + GPT-4 orchestration Apollo / Clay / LinkedIn Sales Navigator HubSpot or your existing CRM Custom dashboards in Retool
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 AI customer growth 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 AI customer growth 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 |
The pattern across most law firms we work with.
- 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 customer growth 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. Get me more customers.
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. Doubled an NZ professional services firm's qualified pipeline in 90 days - no new headcount.
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 the realistic timeline for AI customer growth with a law firm?
Most law firms have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".
What does AI customer growth cost for a law firm?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Anyone else in this space using AI customer growth?
Plenty. Doubled an NZ professional services firm's qualified pipeline in 90 days - no new headcount. 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.
What happens if we want to swap a vendor out later?
AI customer growth is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude + GPT-4 orchestration, Apollo / Clay / LinkedIn Sales Navigator, HubSpot or your existing CRM, Custom dashboards in Retool are our defaults, but the build is intentionally portable.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.