AI for your firm: Part 5 of 8. A short series for law firm leaders on getting AI right, from the risks you can’t see to the policy, tools and plan that fix them.
Quick answer: The best AI use cases for law firms by practice area are narrow, repeatable tasks with a lawyer’s check after them: document summaries and chronologies, intake questionnaires and checklists, key-date extraction, document comparisons and first drafts of routine client updates. The risks are the same in every practice group: confidentiality, invented or wrong information, and supervision.
Every vendor says AI will “transform your practice.” Your family law group wants to know what it does for them on Tuesday. Your litigators want to know whether it’ll embarrass them in front of a judge. Your real estate team wants to know if it can touch a closing file.
Fair questions. The honest answer is that AI helps most when you match it to a specific task in a specific practice area, and put a human check after it.
This guide covers ten practice areas. For each: three or four realistic starting uses, the main risk to watch, and the review step that keeps a lawyer in control. It’s a menu for your first pilot, not a promise of results. For how to run that pilot, see How to implement AI in a law firm.
Every practice area shares the same three risks
Before the list, three rules that apply everywhere:
- Confidentiality. Client information should only go into tools your firm has approved. The Law Society of BC’s guidance says client confidential information, including anything identifying the client, should ideally be omitted from what you give a generative AI tool.
- Privilege. The Law Society of BC also flags the question of whether using an AI tool could put privilege at risk, including arguments about waiver, and says the law here is at an early stage.
- Accuracy. Generative AI can produce confident, wrong answers, including cases that don’t exist. The Law Society of Ontario’s guidance says verification should be completed by a human being, not the AI system itself.
Two more habits help. Check whether the court or tribunal you appear before has an AI notice; the Federal Court of Canada, for example, expects a declaration in the first paragraph of litigation documents that contain content generated directly by AI. And remember that clients can have their own rules: ABA Opinion 512 notes that a client’s engagement agreement or outside counsel guidelines may require disclosure of AI use.
AI use cases for law firms by practice area: at a glance
| Practice area | Starter use cases | Main risk to watch | Human-review step |
|---|---|---|---|
| Family law | Document summaries, chronologies, plain-language explainers, intake checklists | Highly sensitive personal and child-related information; fake authorities | Lawyer checks every authority and client-facing explanation |
| Wills & estates | Intake questionnaires, document comparisons, administration checklists, follow-up letters | Vulnerable clients; drafting that drifts from instructions | Lawyer checks every clause against instructions and law |
| Real estate / conveyancing | Key-date extraction, document comparison, client update drafts | Fraud and impersonation; wrong dates or amounts | Verify every date and figure against the source |
| Litigation | Chronologies, transcript summaries, discovery outlines | Invented citations; court AI notices; privilege | Verify every citation in a primary source; check notices |
| Personal injury | Medical-record timelines, demand-letter drafts, client updates | Health information; summaries that omit key facts | Compare each summary to the underlying records |
| Immigration | Document checklists, evidence organization, cover-letter drafts | Misstated facts; translation errors | Lawyer confirms every fact with the client; verify translations |
| Corporate / commercial | First-pass contract review, agreement summaries, closing checklists | Confidential deal information; missed clauses | Test on a sample; lawyer reads key clauses |
| Employment | Policy first drafts, interview-note timelines, client explainers | Bias; jurisdiction-specific rules | Check against local statute; no decisions about individuals |
| Criminal defense | Disclosure summaries, timelines, plain-language letters | Extremely sensitive data; bias in outputs | Review source material; scrutinize outputs for bias |
| Notaries (BC) | Client explainers, document checklists, data extraction | Member remains fully responsible; privacy | Notary reviews and signs off every output |
🧠Which of these should your firm try first?
Get a snapshot of your readiness, your top three opportunities and the guidance that applies to you.
Advisory and client-facing practices
Family law
Where AI can help:
- Summarize long financial disclosure and organize it into a draft schedule
- Build a timeline from emails, texts and documents
- Turn a lawyer’s advice into a plain-language client explainer
- Draft intake checklists and document request lists
Watch for: The information is among the most sensitive any firm holds, and a fake authority can sink your credibility. Zhang v. Chen, 2024 BCSC 285, was a parenting dispute: two cases invented by ChatGPT ended up in a notice of application.
Review step: A lawyer reads every client-facing explanation before it’s sent, and every authority is checked in CanLII or your research platform.
Wills & estates
Where AI can help:
- Draft client intake questionnaires
- Compare existing wills or trust documents in a side-by-side table
- Produce administration checklists and beneficiary update letters from your own precedents
- Turn meeting notes into follow-up letters
Watch for: Clients may be elderly or vulnerable, and a draft can drift away from what the client actually instructed. AI can’t assess capacity or spot undue influence for you.
Review step: The lawyer compares every provision to the signed instructions and the governing law.
Immigration
Where AI can help:
- Generate document checklists by application type
- Organize and index supporting evidence
- Draft first-pass cover letters from facts the client has confirmed
- Produce rough translations for internal understanding
Watch for: Misstated facts in an application are serious, and machine translation can change meaning. The Office of the Privacy Commissioner of Canada lists immigration among the highly impactful contexts where AI can lead to discriminatory outcomes and calls for additional oversight and review of outputs.
Review step: The lawyer confirms every fact with the client, and translations are checked by a qualified person. Check the Federal Court notice if you file there.
Notaries (BC)
Notaries public in BC are regulated by the Society of Notaries Public of BC, not the Law Society of BC. The Society’s Rules (July 2025) say a member is completely responsible for all business entrusted to them and must supervise tasks delegated to staff and assistants. Check with the Society for any current AI guidance.
Where AI can help:
- Plain-language explainers for clients
- Document checklists for conveyancing, wills and other matters
- Extracting names, dates and amounts into a review sheet
- Drafting routine client emails
Watch for: Responsibility stays with the notary, and privacy obligations apply to client information.
Review step: The notary reviews and signs off every output before it reaches a client.
Transactional and business practices
Real estate and conveyancing
Where AI can help:
- Pull key dates, conditions and parties from purchase agreements into a checklist
- Compare two versions of a document and summarize the differences
- Draft client updates on closing steps
- Flag inconsistencies between documents for a human to check
Watch for: Fraud. The Law Society of BC’s guidance warns that generative AI can be used to create deep fakes to get around security screening. AI also gets dates and numbers wrong.
Review step: Every date and amount is verified against the source document. Never use AI to verify identity or direct trust funds.
Corporate and commercial
Where AI can help:
- First-pass review and clause extraction in contracts
- Plain-language summaries of agreements for clients
- Comparison of drafts
- Closing checklists and minute-book summaries
Watch for: Confidential deal information and missed clauses. ABA Opinion 512 describes contract analytics for due diligence as an established use of AI, and says verification depends on the tool and task.
Review step: Test the tool on a sample you’ve already reviewed manually, then have a lawyer read every key clause.
Employment law
Where AI can help:
- First drafts of policies and handbooks from your precedents
- Timelines from investigation interview notes
- Draft response letters
- Client FAQs on workplace rules
Watch for: Bias, and rules that differ by province or state. The Office of the Privacy Commissioner of Canada lists employment among high-impact contexts where biased AI outcomes are a particular concern.
Review step: Check every statement against the local statute. Don’t use AI to make or recommend decisions about individual employees.
Dispute and defence practices
Litigation
Where AI can help:
- Summarize transcripts and productions
- Build chronologies from large document sets
- Draft discovery outlines and brainstorm cross-examination questions
- Stress-test your own argument for weaknesses
Watch for: Invented citations, and court rules. The Law Society of Alberta notes the Alberta Courts’ notice calls for “meaningful human control” and cross-referencing reliable legal databases.
Review step: A person verifies every citation in a primary source and keeps a record of the verification steps, as the Law Society of Ontario recommends.
Personal injury
Where AI can help:
- Turn medical records into a treatment timeline
- Draft demand-letter narratives from facts a lawyer has reviewed
- Write regular client updates
- Organize intake information
Watch for: Health information is some of the most sensitive data you handle, and a summary can leave out a diagnosis or date that matters.
Review step: A lawyer or trained paralegal compares each summary to the source records before anyone relies on it.
Criminal defense
Where AI can help:
- Summarize disclosure or discovery and build timelines
- Transcribe and summarize recorded material in an approved tool
- Draft plain-language letters to clients
- Brainstorm lines of cross-examination
Watch for: Extremely sensitive data, and bias. The Law Society of BC’s guidance gives the example of a tool asked to draft sentencing submissions based on past sentences, which may reproduce bias in the underlying data.
Review step: The lawyer reviews source material for every material fact and checks outputs for bias.
Rules for human review that work in any practice area
- Treat every output as a first draft. The Law Society of Alberta suggests treating it like work from a law student who needs supervision.
- Verify against primary sources. Citations, dates, amounts and names.
- Test before you trust. Compare the tool’s output to work you’ve already checked.
- Mark AI-assisted work in the file. ABA Opinion 512 suggests marking materials produced by AI tools when they’re stored, so later users know they may be fallible.
- Keep a record. Note what was used, for what, and who reviewed it.
FAQ
Which practice area benefits most from AI?
There’s no single answer. Practices with large volumes of documents, such as litigation, personal injury and corporate work, have obvious summarization and review tasks. Others benefit mostly from drafting and client communication. Start with a task your team does often and can check quickly.
Can we use AI on client files in any practice area?
Only in tools your firm has approved and vetted (our secure AI tools checklist shows how), and only for tasks your policy permits. Regulators including the Law Society of BC and Law Society of Ontario say to consider redacting identifying information and, where confidentiality can’t be protected, to consider informed client consent.
Do we need different AI rules for each practice group?
Usually one firm-wide policy with practice-specific sections works best: the same core rules, plus extra steps where the risk is higher, like court filings or health records. Our law firm AI policy starter outline shows how to structure it.
Not sure where your practice groups should start? Our free AI readiness assessment shows where your firm stands, ranks your top three opportunities by effort and impact, and lists the guidance that applies to your jurisdiction. We work with law firms in every province and territory across Canada and throughout the United States.
Ready to pick your first use case? Get your free AI readiness assessment · Learn about AI implementation for law firms
This article is general information, not legal or ethics advice. Consult your law society or Bar Association’s practice advisors about your specific obligations.
