Every law firm business we've worked with has a different definition of "broken". AI chatbots only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.
Law firms · Applied AI
Built for the law firm who's already tried the off-the-shelf option and bounced off it.
What AI chatbots actually does
Trained on your business, not Wikipedia. AI assistants that answer pricing, hours, availability, bookings – and escalate cleanly when the customer needs a human.
- 01 Trained on your documents, FAQs, and past tickets
- 02 Books appointments, takes deposits, qualifies leads
- 03 Live hand-off to a human when needed
- 04 Daily quality reports so you stay in control
Built on: Claude OpenAI Custom RAG pipelines
Without Kiwi Dynamics
With Kiwi Dynamics
Sector context
Where law firms actually lose hours and dollars.
- 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 chatbots 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 customer support.
Talk to usThe outcome for law firms
We'd call the engagement a success when law firms are using the system without thinking about us. Handles 60-70% of routine enquiries 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.
Questions
FAQ
How fast could we have AI chatbots in production?
Eight to ten weeks for most law firms. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for law firms that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Anyone else in this space using AI chatbots?
Plenty. Handles 60-70% of routine enquiries 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.
What if our law firm doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI chatbots specifically, we typically run that work on Claude, OpenAI, Custom RAG pipelines and assume messy starting conditions from day one.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.