How a 20-Person Law Firm Is Recovering $1.3M a Year With Two AI Assistants

A 20-person family law firm on the Sunshine Coast was drowning in 4,000 emails a month. Today, two AI systems handle that filing automatically and turn every client consultation into a polished letter in minutes. They now recover the equivalent of $1.3M a year in productivity, and the team did not have to change a single process.

The problem: admin was eating the billable day

Catton and Tondelstrand is a busy family law practice. Like most firms their size, the bottleneck was everything around the legal work.

Every email had to be read, categorised, and filed to the right matter in Smokeball. With 4,000 emails landing every month across 18 active users, that is hours disappearing from every person's day. After every consultation, a lawyer or paralegal spent 30 to 45 minutes writing up file notes and client letters that followed the same structure every time.

None of it was hard. All of it was necessary. All of it pulled qualified people away from the work clients pay for.

Meet Pat: the AI email assistant

Pat is the firm's AI email triage assistant. Every incoming email is read, matched to the correct matter and filed into Smokeball automatically. The "I'll file it later" pile is gone.

In March 2026 alone, Pat processed 3,844 emails. That is thousands of small decisions about which matter an email belongs to, made instantly and correctly, all day, across the whole team.

Think of Pat as a junior employee you just hired. Clever, tireless and good at one well-defined job once you have shown it how the firm works.

Meet Donna: the AI documentation assistant

Donna handles the after-meeting admin. She transcribes client consultations and generates file notes and client letters automatically, in the firm's own tone and format.

What used to take 30 to 45 minutes of a fee earner's time after every meeting now takes minutes. The lawyer starts at 80%, reviews and signs off. A human stays in the loop.

They describe it as having an extra employee - one that works 24/7 and never calls in sick.

How we rolled it out: start small, build trust

Automating everything on day one is the fastest way to break trust and break a process.

We started with email filing. We proved it worked. We earned the team's confidence. Only then did we add meeting documentation. Start small, build trust, then build bigger. AI amplifies whatever process it is pointed at. Point it at a solid workflow and you amplify success. Point it at chaos and you get faster chaos.

Every system is fully managed. We run it, optimise it and fix what breaks, model updates and edge cases included. The firm gets the benefit without running the systems.

The numbers behind the $1.3M

It is built from the two systems, measured on real usage:

• Pat (email filing): around $81,000 a month in recovered time across 18 users, based on the hours previously spent reading and filing 4,000+ emails.
• Donna (documentation): around $35,000 a month in recovered time, based on the consultation write-ups now handled automatically.

Together that is roughly $116,000 a month, or about $1.3M a year in productive time given back to the firm, and counting. We measured it on logins, email volume, and meeting counts.

Curious what the same maths looks like for your firm? Try our AI Savings Calculator.

Could this work for your firm?

If your team is filing emails by hand, writing the same letters from scratch, or losing the day to admin that follows a predictable pattern, then yes, almost certainly.

Start with one question. What takes you 30 to 45 minutes every day that nobody wants to do? That is where AI earns its keep first. Prove it on one task, then expand.

AI is not a silver bullet, and most tools out there are ChatGPT with lipstick. Pointed at the right repetitive, pattern-based work and built into how your firm operates, it works. Catton and Tondelstrand are the proof.

If you are a law firm thinking about AI, the question is whether you can afford to keep paying qualified people to do work a system could do for them.