What is a practice management system worth to you?

Is it fair to complain?

Sometimes, yes. Firms are right to object to price rises that arrive with no improvement, to paying for modules they were never helped to use, and to being moved onto a different product at a higher price after an acquisition. Those are legitimate complaints, and we hear them often.

But the price of a practice management system is rarely the real issue. Consider a simple illustration: a fee earner charging £300 an hour who loses just 15 minutes a day to duplicate entry, searching for documents or unrecorded time loses around five hours a month. That is around £1,500 of time, every month, for one person. Against that, the monthly licence for the system that runs their matters, their time, their bills and the client account is small.

The question is not whether the licence is expensive. It is whether the firm is getting the value it is paying for.

Why the same firm will pay more for AI

AI tools are often priced well above a practice management licence, for a narrower job, and many firms accept that without the same resistance. Perception explains much of it:

• The saving is visible. A fee earner sees a draft or a summary appear in seconds, and can put a number on the time saved.
• It is new. It is bought as an investment in the future, not as a running cost of the present.
• It is bought for some people, often a pilot group, while the practice management system is licensed for everyone.

The practice management system suffers from the opposite. It is infrastructure. When it works, nobody notices. Its value is spread across every matter, every bill and every compliance check, and is easy to take for granted.

None of this means AI is overpriced or underpriced. It means firms should judge every system on the same basis: what it costs, and what it returns.

AI and the system are not separate decisions

Treating AI and the practice management system as different kinds of purchase misses the point. AI is only as good as the data it can reach, and for a law firm most of that data lives in the practice management system: clients, matters, documents, emails, time, key dates and money. The real skill is using AI to get the best from your data and your system.

• Data quality decides AI quality. Emails filed to the right matter, documents profiled consistently, custom data captured properly and time recorded with meaningful narratives are what make AI answers reliable. A firm using 40% of its system is feeding AI 40% of the picture.
• The best AI uses work inside the process: summarising a matter before a supervision review, drafting from the matter's own data, spotting unbilled time or missed key dates, answering a client's status question from the file. That needs the system and the AI working together, under the same security and ethical walls.
• The investment is the same investment. Money spent getting the practice management system properly used and its data clean is money spent on AI readiness. Money spent on AI on top of a poorly used system often buys impressive demonstrations and disappointing results.

So the question is not "the system or AI?", or why one should cost more than the other. It is what the two together are worth to the firm, and whether the data is in a state to deliver it.

Why specialist tools can charge so much for so little

A specialist document management system can cost a large share of what the practice management system costs, while doing one job. That is not necessarily unfair. It may do that one job far better, and for document-heavy teams that can be worth paying for. But it should be a deliberate decision, not a habit, and not a duplicate of capability the firm already owns and has never switched on.

What is it worth to you?

The honest answer depends on how well it is used. In our experience most firms use around 40% of what their system can do. A firm using 40% is paying full price for less than half the value, and the cheapest way to improve value for money is usually not a cheaper system. It is using more of the one you have.

Value shows up in measures partners already care about:

• time recorded, and time lost;
• work in progress and lock-up;
• write-offs and realisation;
• time spent on admin rather than client work;
• compliance: reconciliations, key dates, file reviews;
• how quickly a new client is onboarded and a bill is paid.

How to get value for money

1. Know the total cost: licences, hosting, integrations, add-ons, support, internal administration and training, not just the per user price.
2. Licence the right people the right way: check whether lighter or read-only licences exist for people who need less, and remove leavers promptly.
3. Use what you pay for: list the modules and features in your licence, and set a plan to adopt the valuable ones before buying anything new.
4. Invest in the data, not just the tools: get the system used properly and its data clean before, or alongside, buying AI on top of it.
5. Avoid paying twice: check that separate tools are not duplicating capability the system already includes, and the other way round.
6. Negotiate on terms, not just price: caps on increases, notice before products are withdrawn, exit rights, and roadmap commitments are often worth more than a discount.
7. Measure the return: agree a handful of measures before any change, and check them six and twelve months later.

A conversation worth having

Price is a fair subject for negotiation, and vendors should expect firms to push. But a firm that judges its most important system only on price per user, while judging everything else on what it delivers, is asking the wrong question. Ask what the system is worth to you, measure it, and then decide what a fair price is.

We help firms understand what they are paying for, what they are using and what they are getting back, independently of any vendor.