AI Training for Solicitors: Why Tools Alone Are Not Enough

AI training for solicitors is what turns an AI licence into real time saved. Without it, most firms see the same pattern. A tool is bought, people try it a few times, the answers are hit and miss, and within a few weeks usage quietly drops away. The firm concludes that AI is overhyped, when the real problem was that nobody showed people how to use it.

This guide explains why training matters so much, what good AI training for law firms looks like, who should be trained first, and how to do it without losing a week of billable time.

Why buying an AI tool is not enough

AI tools look simple. There is a box, you type a question, and an answer appears. That simplicity is misleading. The quality of what comes back depends heavily on what goes in, and most people have never been shown how to give an AI tool the context, examples and clear instructions it needs.

Ask a vague question and you get a vague answer. A fee earner who types "summarise this lease" will get something generic. One who asks for the key commercial terms, break clauses, rent review dates and repairing obligations in a short table, and explains who the summary is for, will get something genuinely useful. The difference is not the tool. It is the skill of the person using it.

There is also a safety side. AI tools can produce confident, well written answers that are simply wrong, including cases and citations that do not exist. People who have not been trained to expect this are the ones most likely to be caught out.

What the SRA expects

In August 2026 the SRA published a formal warning notice on AI. It made clear that solicitors remain fully responsible for any work produced with AI, that supervisors must properly check the work of those they supervise, and that client information should only be entered into AI systems where proper safeguards are in place. The SRA had received 42 reports of possible AI misuse in a year, many involving made up case law reaching the courts, as set out in our report on the impact of AI in the legal sector.

None of this means firms should avoid AI. It means people need to know how to use it properly. Training is the most practical way to meet those duties, and to show that the firm takes them seriously.

What good AI training for law firms covers

Good training starts with the basics, but it does not stay there for long. Everyone should understand, in plain English, what AI tools can and cannot do, and why they sometimes invent facts. That understanding shapes everything else.

From there, training should cover safe use. That means your firm's AI policy, the difference between approved business tools and personal accounts, and what can and cannot be shared. Staff need to come away knowing exactly where the lines are, not just that they should "be careful".

The biggest part of the day should be spent on writing good instructions. This is the skill that makes the most difference to results. People learn how to give the tool context about the matter, examples of what good looks like, a clear task and the format they want back. They also learn to treat the first answer as a draft and refine it, rather than accepting or rejecting it outright.

Checking outputs gets its own focus. Every AI draft used in client work needs proper review, and every case, statute and figure needs to be checked against the original source. Training should make this a habit, not an afterthought.

Finally, good training helps people build routines. Saved instructions, shared projects with the firm's style guide and precedents, and simple workflows mean people do not start from scratch every time. That is what keeps usage going after the trainer leaves.

Learning on real legal work

The single biggest difference between training that sticks and training that does not is whether people practise on real work. Generic demonstrations about writing poems or planning holidays do not translate to a conveyancing file or a commercial lease.

In practical AI training for solicitors, each person works through tasks drawn from their own practice area, using the firm's approved tool. A property lawyer might summarise a lease into a one page table of key terms and then check it against the original. A litigator might turn rough notes into a structured attendance note. A private client team might draft a client update letter from bullet points and edit it into the firm's style. Others might compare two drafts of a contract to see what changed, or turn a long guidance note into five key points for the team.

One exercise is worth singling out. People are given an AI answer that contains a made up case and asked to find the problem. It is a memorable way to show why checking matters, and it tends to change behaviour more than any warning in a policy.

By the end of the session, everyone has done real work with the tool. They know where it helps, where it does not, and how to tell the difference.

Who should be trained first

Start with partners. When partners understand the tools, they can lead by example, set sensible rules and supervise properly. They are also the people who decide whether AI gets proper investment, so their buy in matters more than anyone's.

Fee earners come next. Their training focuses on drafting, review, summarising and organising information, with plenty of time on checking outputs. Support staff follow, with a focus on correspondence, admin and document handling, where the time savings are often surprisingly large.

Each group needs slightly different examples, but the core skills are the same. Writing clear instructions and checking the results apply whether you are a senior partner or a legal secretary.

How long AI training takes

Less time than most firms expect. A focused day is enough to set up an approved tool, train the partners and give fee earners a solid start. Short follow up sessions a few weeks later help people go further once they have tried things for themselves and come back with real questions.

What does not work is sending a link to an online course and hoping. Generic courses are easy to skip and hard to apply. Short, practical sessions run in house, using your own work and your own tools, are far more effective.

AI workshops or ongoing training?

Many firms start with a single AI workshop for the whole firm, then add shorter sessions as needed. A workshop builds shared understanding and gets everyone to the same starting point. Follow ups deepen skills in specific teams or for specific tasks. The right mix depends on the size of the firm and how quickly you want to move, but almost every firm benefits from at least one follow up once people have had a few weeks to experiment.