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Professional Services AI Automation, Built for Australian Firms

The opportunity

Professional Services — where AI moves the needle.

A law, accounting or consulting firm sells the time and judgement of its people, so every hour a fee earner loses to admin costs the firm twice. We build professional services AI automation that takes drafting, document review and research off your team, without letting client material reach places it should not go. The aim is a higher share of the day spent on chargeable work, with client confidentiality and a documented advice trail built in from the start. The advice still belongs to a qualified person. The tools clear the runway so that person spends more time deciding and less retyping.

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A business built on billable time

A law firm, accounting practice or consultancy sells expertise by the hour, which makes the economics plain. Every hour a senior person spends on admin is an hour not billed and not recovered. Australian firms feel this sharply. Utilisation targets are tight, good people are expensive and hard to keep, and clients push back on being charged for work they see as routine. A single confidentiality breach or missed conflict can also cost a relationship that took years to build.

We work with firms of roughly 10 to 200 staff caught in that squeeze. The aim is to shift more of the day onto chargeable work and let well-built software absorb the rest, without putting client trust at risk.

Where your team is stuck

The repeated pattern is skilled people doing unskilled work. A solicitor reformatting a contract from a precedent that lives in someone’s inbox. An accountant rekeying figures between a client’s file and the firm’s system. A junior spending an afternoon hunting for prior advice a partner produced two years ago. None of this needs a professional qualification, yet it is done by people who hold one, on the clock. Add the quiet leakage of unrecorded time, and the most expensive people spend too little of the week on work clients actually pay for.

Why buying a tool alone falls short

The instinct is to buy an AI product, switch it on, and hope. A fortnight later it is either giving confidently wrong answers or sitting unused because nobody trusts it with client material. In a firm where confidentiality is a professional duty, that is worse than no tool at all. A public assistant knows the general web, not your matters or your jurisdiction, and it should never be fed confidential client data. The gap between an impressive demo and something a partner will rely on is the engineering that connects the tool to your business, keeps client material walled off, and records how each piece of work was produced.

How we deliver it

We build around a small number of foundations that decide whether a tool earns its keep or becomes a liability. Three of them matter most here, and the full set is in our approach.

Training, security and governance come first. Client confidentiality is the precondition, not a feature. We build to your information barriers rather than around them, so tools respect matter-level access and a junior cannot see a matter they are walled off from. Client data is not used to train external models, and every access is logged, so you can demonstrate confidentiality held rather than assert it. That matters for client trust and for your obligations under the Privacy Act and professional-body rules.

The process is documented and version-controlled. We keep the prompts, the precedents a tool draws on, and the design choices behind it under version control, the way good firms manage their own templates. Every change is recorded, and if one makes the output worse, we roll it back. The result is a versioned trail of how a draft or piece of advice was produced, defensible under review.

The work centres on giving fee earners their time back. We start with a task that costs your team hours, such as first-draft review or research across prior matters, not with what a model can do. If a simpler automation does the job better, we say so and build that instead.

A solicitor reviewing an AI-drafted contract grounded in the firm's own precedents while client material stays inside its information barrier

Built for Australian professional obligations

Firms here work under professional conduct rules and under the Privacy Act for the client information they hold. Legal firms answer to the relevant state law societies, accountants to bodies such as CPA Australia and CA ANZ, and across all of them confidentiality, conflict management and the proper handling of client records are not optional.

We design tools that respect information barriers, keep client material out of external training, and log access so you can show compliance rather than claim it. Where you carry duties around records retention or client communication, we build the audit trail to match. And because legal and financial advice carries real consequence, the advice stays with qualified people. The tools produce a first draft for a person to check and own, with review built to be fast and the human accountable for what goes out.

What good looks like

The measure is one you already track, namely the share of the day spent on chargeable work. We aim to move that number by removing the admin and research load around it, and we prove the gain against your own time records rather than a brochure claim. A first-cut draft arrives in minutes rather than from a blank page. A research question that took an afternoon gets answered in seconds from the firm’s own prior work. Fee earners get their hours back for the matters that genuinely need them. We start with one team and one workflow, show the time recovered, and widen only once partners trust it.

Where to start

You do not need an in-house tech team to begin, and most of the firms we work with do not have one. We build, integrate and support the tools, and keep them simple enough that your people can use them without becoming engineers. Pick the task that drains the most non-chargeable time, and we will tell you straight whether AI is the right fit or a simpler fix would serve better.

No stupid questions

Frequently asked.

What is the best AI for Australian lawyers?
There is no single best tool. The right fit depends on the work, where your matter files live, and your confidentiality obligations. We choose the model and platform that suit the task and ground them in your own precedents and house style.
Is Claude or ChatGPT better for lawyers?
Both are capable language models, and neither is correct out of the box for legal work, because a public model knows the general web, not your matters or your jurisdiction. What matters is whether the tool is connected to your own files, kept confidential, and reviewed by a qualified person.
What is the best AI agent for lawyers?
The most useful one is built around a real, repeated task, such as first-draft document review or research across your prior matters, with a solicitor approving the output. A generic assistant that ignores your precedents creates rework. We scope an agent to one job, ground it in your files, and keep a human accountable.
Who are the top 4 professional services?
People often mean the big four accounting and advisory firms, namely Deloitte, PwC, EY and KPMG. Most Australian professional services firms are far smaller, and that is who we build for. A practice of 10 to 200 staff gets the same automation benefits without the big four budget.
What are professional services in Australia?
Professional services are expertise-led firms that sell judgement by the hour, such as law firms, accounting practices, consultancies and agencies. In Australia they work under professional-body rules and the Privacy Act. Legal firms answer to state law societies and accountants to bodies such as CPA Australia and CA ANZ, and all carry client confidentiality duties any tool we build has to respect.
What does an AI consulting firm do?
A good one scopes a real problem, builds and integrates the tools, and supports them afterwards, rather than selling a licence and walking away. We find the task worth automating, ground the tool in your data, keep confidentiality and an audit trail in place, and hand you something your people can actually use.

Get fee earners back to fee-earning work

Tell us where non-chargeable admin and research eat your team's day. We'll tell you whether AI is the right fit and what a first build would take in AUD.

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