Using AI to save on legal costs — without the risks

Legal fees are one of those costs small businesses either overspend on or avoid entirely, and neither is good. Used well, AI lets you do more of the groundwork yourself and pay a lawyer only for the part that actually needs one. Used badly, it quietly creates the problem you were trying to avoid. Here’s the practical version.

Where AI actually saves you money

The savings are real and specific. AI is genuinely useful for producing a first draft of a routine document (an NDA, a simple services agreement, a policy, a demand letter), for translating dense legalese into plain English so you understand what you’re signing, for summarizing a long contract into its key points, and for building checklists or organizing your thoughts before a meeting. That last one matters more than people realize: if you walk into a lawyer’s office already clear on what you want, you pay for advice instead of paying them to figure out your question.

Which models to use

For most small businesses, the practical tools are the leading general-purpose assistants: ChatGPT (OpenAI), Claude (Anthropic), Google Gemini, and Microsoft Copilot. They’re broadly capable, and any of them can handle drafting and plain-language explanation well. There are also legal-specific tools built for contract review, but for a typical small business a general assistant is the sensible starting point.

One rule matters more than which brand you pick: for anything confidential, use a paid Business, Team, or Enterprise tier, not the free consumer version. The paid business tiers generally commit, in writing, not to train their models on your data — the consumer tiers often don’t. If you’re going to put real business information in, that difference is the whole ballgame. (More on that in what you give away when you paste a contract into AI.)

The risks — where it costs you instead

• It’s confidently wrong. AI invents plausible-looking clauses, misstates the law, and occasionally cites cases that don’t exist. It reads as authoritative whether it’s right or not — and it doesn’t know Canadian law the way it knows American law.
• Confidentiality and privilege. Pasting a contract into a public tool can breach an NDA and weaken privilege before anything “goes wrong” — see our AI contract review guide.
• It doesn’t know your facts or your jurisdiction. It gives you the generic, often U.S.-flavoured answer, not the one that fits your deal, your province, and your risk.
• No accountability. If the AI is wrong, you wear the loss. A lawyer carries professional duties and insurance; a chatbot carries neither.

This isn’t a fringe concern — even lawyers are now formally guided on responsible AI use. The Law Society of Ontario has published guidance for licensees on generative AI, which tells you how seriously the profession takes the accuracy and confidentiality risks. If the people trained to spot these problems are being cautioned, it’s worth being careful yourself.

The smart division of labour

Here’s the setup that actually saves money without creating risk: let AI do the drafting and the explaining, and have a lawyer review anything you’re going to sign or rely on. You’ve done the expensive-looking part yourself, so the lawyer’s job shrinks to what only they can do — is this enforceable, does it protect you, what did the draft miss. That’s exactly the idea behind our AI document review service: bring the AI-generated agreement, get a fixed-scope lawyer’s review. Cheaper than drafting from scratch, and far safer than signing what a chatbot produced.

Use AI to get 80% of the way there on your own. Just don’t let it be the one who tells you the document is safe to sign — that part is still worth a real lawyer, and it’s cheaper than you think. See how we work with small businesses.