Using AI in a Law Firm: A Practical, Risk-Aware Guide

I’m a legal practitioner who also builds AI systems, so I see both the opportunity and the risk clearly. AI can genuinely give a small firm back hours every week. It can also embarrass a lawyer in front of a judge. The difference is almost always in how it’s set up.

This article is general information, not legal advice. Check the rules of your own jurisdiction and regulator.

The rules haven’t changed, only the tools

Wherever you practise, the core duties apply to AI exactly as they apply to a junior colleague or an outsourced service:

• Competence: understand enough about the tool to use it appropriately, including its limits.
• Confidentiality: protect client information, including from the tool provider.
• Supervision: review AI output as you would a trainee’s draft.
• Candour to the court: never submit authorities you haven’t verified.
• Fair fees: be careful about billing for time AI saved.

Regulators have said as much. In the US, the American Bar Association’s Formal Opinion 512 (2024) addresses generative AI under the Model Rules, covering competence, confidentiality, communication, supervision and fees. In England and Wales, the SRA and the Law Society have published guidance and risk material on AI. In Canada, law societies including the Law Society of Ontario have issued guidance, and the Federal Court has required disclosure of AI-generated content in filings. In Nigeria, check current guidance from the Nigerian Bar Association and the Nigeria Data Protection Act 2023 for client data.

The cautionary tale everyone knows is Mata v. Avianca (S.D.N.Y. 2023), where lawyers were sanctioned for filing a brief citing cases that an AI tool had invented. It wasn’t a technology failure. It was a verification failure.

Where AI helps most, safely

1. Client intake

A structured intake form or assistant collects the facts, parties, dates and documents for each matter type. It prepares the information needed for a conflict check and creates the matter record. It gives no legal advice. It just makes sure the first consultation starts with the facts in hand.

2. Document summaries and review support

AI can summarise long documents, extract key terms (parties, dates, obligations, termination rights, payment terms) and flag clauses that differ from your checklist, with page references so a lawyer can verify each point quickly. It’s a first pass that speeds up review. It doesn’t replace review.

3. Drafting from your own precedents

The safest drafting setup uses your firm’s approved templates and the matter facts, not the open internet. Drafts are clearly marked as drafts and always reviewed. This avoids both invented law and the old risk of leftover details from a previous client’s document.

4. Client updates

When a matter moves to a new stage in your practice management system, the client gets a plain-English update automatically. It’s a small change that clients notice, and it cuts “any news?” emails.

5. A private knowledge assistant

Search your own precedents, practice notes and procedures in plain language, with links to the source document. It’s especially valuable for small teams where knowledge lives in a few people’s heads.

A setup checklist for firms

1. Write a short AI policy: which tools are approved, what data may go into them, and who reviews what.
2. Use business-grade tools. Look for terms that exclude your data from model training, data processing agreements, access controls, audit logs and clarity on where data is stored.
3. Never paste client data into consumer chat apps unless the terms and settings clearly meet your confidentiality obligations.
4. Ground outputs in your documents (retrieval with citations) wherever accuracy matters.
5. Verify every authority against a primary source. No exceptions.
6. Keep humans on substance: advice, filings and anything sent to a client or court.
7. Update engagement letters and privacy notices to reflect how you use AI, where appropriate.
8. Train the team, including on the limits. Most incidents come from enthusiastic misuse rather than bad tools.
9. Review quarterly: tools, terms and model versions change.

What to avoid

• Public AI tools as a research engine without verification.
• AI that gives clients legal answers unsupervised.
• Tools that can’t explain where your data goes.
• Billing for hours AI saved without a clear basis in your engagement terms.

Where to start

Pick one administrative bottleneck, such as intake, document collection or status updates. Automate it carefully, and measure the hours saved before moving on to anything that touches legal substance.

At FIT we design legal-sector systems with these duties built in from day one. See AI automation for law firms, or take the free AI audit to see where your firm’s time goes.