AI for law firms
AI for lawyers and law firms in Canada
Practical AI for law firms: faster intake, better follow-up and visibility in AI search, built around your professional duties and your client files staying private.
Canada Create™ helps lawyers put AI where it pays off first: the path from a stranger searching for help to a booked consultation. We plan and build AI-assisted website chat, intake forms, CRM automation in CS+, and content that search engines and AI assistants can understand, with a lawyer in control of every client-facing message.
Plan AI for your law firm
Tell us about your practice and the work you want AI to take on. A strategist replies with a scoped proposal in one business day.
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What AI changes for your law firm
Fewer missed inquiries
Website visitors and callers get a prompt, accurate reply after hours and on weekends, and the details reach your intake team ready to act on.
Cleaner intake
Structured questions capture practice area, urgency, location and conflict details before a lawyer spends time on the file.
Consistent follow-up
CS+ sends reminders, document requests and consultation confirmations on schedule, so no prospective client falls through the cracks.
Visibility in AI search
Your practice pages are structured so Google, AI Overviews and assistants such as ChatGPT can understand who you help and where.
What our AI for law firms service includes
Every engagement starts with a scoping call and a written plan. You choose the pieces that fit your practice today.
- AI readiness reviewWe map your intake, follow-up and marketing workflows and identify the tasks where AI saves the most time with the least risk.
- AI website chat for law firmsA chat assistant trained on your approved practice information that answers general questions, never gives legal advice, and books consultations.
- Intake automationSmart forms and qualification questions that route each inquiry to the right lawyer or clerk with a clean summary.
- CS+ CRM setupPipelines, reminders, consultation confirmations and document request sequences inside CS+, Canada Create™'s CRM.
- Practice page contentPlain-language pages for each practice area, written for prospective clients and reviewed by your lawyers before publishing.
- AI search optimizationStructured data, clear entity information and answer-first content that helps AI assistants describe your firm accurately.
- Firm AI use policy draftA practical starting draft of an internal AI use policy for your team, for your lawyers to review against your law society's guidance.
- Staff training sessionA working session for lawyers, clerks and assistants on safe prompting, checking output and what never goes into a public tool.
How pricing works for AI in a law firm
AI costs fall into three layers: one-time setup, monthly management, and third-party licences you pay the vendor directly. We quote each layer separately so you can see exactly where your money goes.
AI intake starter
Quoted after a scoping call
Sole practitioners and small firms that want to stop missing inquiries
- AI readiness review
- Website chat trained on approved content
- Intake form and routing
- Basic CS+ follow-up sequence
Law firm growth system
Quoted after a scoping call
Firms with several practice areas and an intake team
- Everything in AI intake starter
- Full CS+ pipeline per practice area
- Practice page content and AI search optimization
- Monthly reporting and tuning
SEO and AI visibility
From CAD 1,500 per month
Firms that want to rank in Google and be recommended by AI assistants
- Technical and local SEO
- Practice page and FAQ content
- Structured data and entity work
- Monthly reporting
Third-party AI licences, phone lines and ad spend are billed by those providers and are not part of our fees.
Legal AI guide
The complete guide to AI for lawyers in Canada
Executive summary. AI for lawyers in Canada has moved from experiment to daily practice, and the open question for most firms is where it belongs. The law firms getting real value from artificial intelligence use it for intake, first drafts, research triage, summaries and client communication, keep a lawyer accountable for every output, and choose tools that protect confidentiality and solicitor-client privilege. General tools such as ChatGPT and Microsoft Copilot, and legal platforms built on top of large language models, can save hours on routine work. They can also invent case law, expose client facts and put a lawyer offside the rules of their law society. This guide explains the tools, the professional duties, the history, the costs and a practical rollout plan for managing partners and sole practitioners. Canada Create™ builds the client-facing side of that work for law firms: AI-assisted intake, website chat, CRM automation in CS+ and visibility in AI search, for firms across Canada and the United States.
In this guide
- What AI for lawyers means in a Canadian practice
- AI tools lawyers use today
- Professional duties that govern AI use in Canada
- From ROSS to DoNotPay: lessons from legal AI history
- Will AI replace lawyers?
- The 30% rule and other rules of thumb
- Where AI fits in a law firm’s client journey
- Technical protocol for safe AI in a law firm
- What AI costs a law firm
- Measuring return on AI in legal work
- AI by practice area
- How clients find lawyers through AI search
- Choosing your first AI project
What AI for lawyers means in a Canadian practice
“AI for lawyers” covers three different things, and most confusion about legal AI comes from mixing them up. Generative AI drafts text, predictive AI sorts and classifies, and client-facing AI talks to prospective clients. Each has its own risks, its own buyers inside the firm and its own way of paying for itself.
Generative AI writes, predictive AI classifies
Generative AI produces new text from a prompt. Large language models such as the ones behind ChatGPT, Claude, Gemini and Copilot predict the next word based on patterns in their training data, which is why they write fluent memos and emails and also why they can produce a confident citation to a case that does not exist. Predictive or analytical AI, by contrast, classifies material that already exists: it flags clauses in a contract, groups documents in a review set or scores the relevance of an email. Predictive tools have been used in e-discovery and contract review for more than a decade, so their failure modes are better understood.
Legal platforms sit on top of general models
Most legal AI products are built on a general large language model and add three layers: a curated source of law, retrieval that grounds answers in that source, and security terms written for professional users. The value of a legal platform is the grounding and the contract, not a different kind of intelligence. When a vendor says its tool “cites real cases”, ask how retrieval works, what the source database is and how often it is updated.
Client-facing AI is its own category
Client-facing AI answers website visitors, qualifies inquiries, books consultations and sends follow-ups. It rarely touches privileged material, yet it is the part of legal AI that most directly affects revenue, because it decides how many people who find your firm actually become consultations. It is also governed by your law society’s marketing rules, since anything a chatbot says on your website is your firm speaking.
AI tools lawyers use today
Yes, there are many AI tools for lawyers, and they fall into five groups: general assistants, legal research platforms, drafting and contract tools, practice management add-ons and client intake tools. The right choice depends on the task, the sensitivity of the data and whether the vendor’s terms satisfy your confidentiality duties.
| Category | Examples | Best for | Main caution |
|---|---|---|---|
| General assistants | ChatGPT, Claude, Gemini, Microsoft Copilot | Plain-language drafts, summaries of non-confidential text, emails, brainstorming arguments | Consumer plans may use inputs for training; no grounded source of law |
| Legal research platforms | Lexis+ AI, CoCounsel from Thomson Reuters, Alexi, Blue J for tax | Research memos grounded in case law and legislation, with citations | Coverage of Canadian and provincial sources varies; every citation still needs checking |
| Drafting and contract tools | Kira (now part of Litera), Harvey, Spellbook, Copilot in Word | Clause extraction, due diligence, first drafts from precedents | Output quality depends on your precedent bank and review process |
| Practice management add-ons | AI features inside Clio and other matter management systems | Time entry, matter summaries, document search inside your own files | Check where data is processed and what the add-on can access |
| Client intake and marketing AI | Website chat, AI phone answering, CRM automation such as CS+ | Answering inquiries after hours, qualifying leads, booking consultations | Must never give legal advice; marketing rules apply to every message |
Is there a ChatGPT for lawyers?
Several products position themselves as a “ChatGPT for lawyers”, and they are usually a large language model connected to a legal database. The difference that matters is grounding: a general chatbot answers from patterns in its training data, while a legal research tool retrieves actual authorities first and then writes an answer around them. A general assistant on a business or enterprise plan, with training on your data switched off, is still useful for work that does not require legal authority, such as rewriting a client letter in plain language.
Which AI is better for law?
No single AI is best for law; the better tool is the one grounded in the jurisdiction you practise in and covered by terms your firm can defend. For Canadian research, test each shortlisted platform on questions from your own recent files where you already know the answer, and score it on accuracy, citation quality and whether it admits uncertainty. For drafting, the deciding factor is usually how well the tool works with your existing precedents and Word templates.
Is AI useful for lawyers?
AI is useful for lawyers when the task has a clear input, a checkable output and a real time cost today. Summarizing a long transcript, producing a first-draft chronology, comparing two versions of an agreement or answering a website inquiry at 11 p.m. all fit that pattern. Novel legal strategy, credibility judgments and negotiation do not, because the output cannot be checked against anything except a lawyer’s own judgment.
Professional duties that govern AI use in Canada
No Canadian law society bans AI, but every existing duty applies to it: competence, confidentiality, supervision, candour to the court and the rules on marketing. Several law societies, including those in Alberta, British Columbia and Ontario, have published guidance on generative AI, and the pattern across them is consistent. This section is general information for planning, not legal or ethics advice; your law society’s current rules and practice advisors are the authority.
Competence includes technology
The Federation of Law Societies of Canada’s Model Code includes commentary that a competent lawyer understands and uses relevant technology, and most provincial codes follow it. In practice this cuts both ways: using AI without understanding its limits is a competence problem, and so is ignoring tools that clients and courts increasingly expect firms to use sensibly.
Confidentiality and solicitor-client privilege
Client information typed into an AI tool is disclosed to that tool’s provider. Before any confidential fact goes into a prompt, the firm needs to know whether the provider stores it, trains on it, who can access it and where it is processed. Enterprise agreements with training disabled, data retention limits and access controls are the baseline for any tool that sees client files.
Supervision and delegation
AI output is treated like work from a junior who cannot be held accountable. The lawyer who signs remains responsible for every fact, citation and argument, and firms should write that expectation into their policy for associates, clerks and assistants.
Courts and disclosure of AI use
Several Canadian courts, including the Federal Court, have issued notices or practice directions about AI-generated content in filed documents, some requiring a declaration when AI was used. Requirements differ by court and change over time, so check the current directions of every court you appear before.
Privacy law
Private-sector privacy law in Canada, including PIPEDA and the provincial statutes in Quebec, Alberta and British Columbia, applies to personal information your intake chatbot collects from prospective clients. Quebec’s Law 25 adds specific obligations around automated decisions and privacy impact assessments. The federal Artificial Intelligence and Data Act, part of Bill C-27, did not become law before Parliament was prorogued in January 2025.
Marketing rules
Law society rules on marketing legal services apply to AI-written website pages, ads and chatbot messages. Claims must be accurate and verifiable, and a chatbot must not create the impression that a lawyer-client relationship exists or that legal advice is being given.
From ROSS to DoNotPay: lessons from legal AI history
Legal AI history shows a steady pattern: tools that assist lawyers with defined tasks last, while products sold as a replacement for lawyers run into courts, regulators or both. Several of the most searched names in legal AI illustrate it.
ROSS Intelligence, the “AI lawyer”
ROSS Intelligence was a legal research start-up, launched in the mid-2010s and first built on IBM Watson, that the press often called the first AI lawyer. It answered research questions in plain English. ROSS announced in early 2021 that it was shutting down, citing the cost of copyright litigation brought by Thomson Reuters over the training data behind its product. The lesson for firms is that the source data behind a legal AI tool matters as much as the model.
Kira and the rise of contract analysis
Kira Systems, founded in Toronto, built machine learning tools that find and extract clauses in contracts for due diligence. It became one of the most widely adopted legal AI products in large firms and was acquired by Litera in 2021. Kira’s success came from doing one well-defined task that lawyers could easily check.
DoNotPay and the “robot lawyer”
DoNotPay marketed itself as the world’s first robot lawyer, starting with parking ticket appeals. In 2023 a plan to have its AI coach a defendant through earbuds in a real courtroom was abandoned, and the United States Federal Trade Commission later took action against the company over its claims that its service could replace a lawyer. For Canadian firms the takeaway is simple: never describe an AI tool, including your own website chat, as a lawyer or as giving legal advice.
Invented cases in real courtrooms
Generative AI can produce citations to cases that do not exist, and lawyers have been sanctioned for filing them. The widely reported New York case of Mata v. Avianca in 2023 ended in sanctions, and in British Columbia, Zhang v. Chen in 2024 saw a lawyer ordered to personally pay costs after fictitious cases produced by ChatGPT appeared in an application. Every citation from a general AI tool must be pulled and read before it is relied on.
The Google AI that “asked for a lawyer”
In 2022 a Google engineer claimed that the company’s LaMDA language model was sentient and had asked to retain a lawyer, which produced headlines about Google AI hiring a lawyer. Google rejected the claim and the engineer left the company. The story is still searched today, and it is a useful reminder that fluent language is not the same as understanding.
Will AI replace lawyers?
AI is replacing legal tasks, not lawyers: the work that is changing fastest is drafting, summarizing and first-pass review, while advice, advocacy and accountability stay with licensed professionals. The more useful question for a firm is which of its billable and non-billable tasks will look different in three years, and how the firm will price and staff them.
Tasks change faster than roles
A lawyer’s day is a bundle of tasks with very different exposure to AI. Reading a 200-page disclosure package and producing a chronology is highly exposed. Deciding which facts in that chronology matter, advising the client on risk and standing up in court are not. Firms that break their work into tasks, instead of asking whether AI can “do law”, find practical uses quickly and avoid the hype.
Which jobs will not survive AI?
No reliable list exists of three jobs that will disappear because of AI, and predictions that circulate online are opinions, not findings. What the evidence from legal practice shows so far is a shift inside roles: routine document work is shrinking as a share of time for clerks, assistants and junior lawyers, while client contact, judgment and supervision of AI output are growing. The roles most at risk are those made entirely of repetitive text processing with no client relationship and no accountability attached.
What stays human in legal work
Advocacy, negotiation, ethical judgment and the lawyer-client relationship stay human because they depend on trust and responsibility. A client going through a separation, a criminal charge or a failed business wants a person who is accountable to a law society and who will stand behind the advice. AI can prepare that person better; it cannot take their place.
What this means for billing
Faster work puts pressure on pure hourly billing. Many firms are experimenting with fixed fees for defined matters, where AI efficiency improves margin instead of reducing revenue. Whatever model you choose, clients increasingly ask how AI is used on their file, so a clear, honest explanation belongs in your engagement conversations.
The 30% rule and other rules of thumb
There is no official “30% rule for AI”; it is an informal phrase used online with several meanings, most often that AI should handle only part of a task while a person does the rest. For a law firm, rules of thumb are only useful if they are specific enough to follow on a busy afternoon. These are the ones we see work.
Review everything that leaves the firm
Every AI-assisted document, email or web page that reaches a client, a court or the public is read by a responsible person before it goes out. This single rule prevents most of the embarrassing failures in legal AI.
Pull and read every authority
A citation from AI is a lead, not a source. The lawyer opens the case or statute, confirms it exists, confirms it says what the draft claims and confirms it is still good law.
Nothing identifying goes into a consumer tool
Client names, file numbers, health information and facts that could identify a person stay out of free or consumer AI accounts. Approved enterprise tools with training disabled are the only place for confidential material.
Use AI for the first draft, never the last word
AI performs best at turning a blank page into a rough draft. The final structure, tone and legal position come from the lawyer, which keeps the work product defensible and recognizably yours.
Log what you use
A short record of which tool was used on which task makes it easy to answer a court declaration, a client question or a law society inquiry later.
Where AI fits in a law firm’s client journey
The quickest return on AI for most law firms comes from the client journey, not the research desk: the steps between someone searching for a lawyer and a signed retainer. These steps involve little privileged information, they happen at all hours, and small improvements show up directly in booked consultations.
Search and first impression
Prospective clients now start with Google, Google Maps and AI assistants. Clear practice pages, a complete Google Business Profile and fast, mobile-friendly web design decide whether they contact you or the next firm. AI helps here by drafting plain-language answers to common questions, which your lawyers then review for accuracy and marketing compliance.
Website chat and after-hours inquiries
An AI chat assistant answers general questions from approved content, such as practice areas, office locations, consultation process and fees policy, and collects inquiry details. It is configured to refuse legal advice, to state that no lawyer-client relationship is created and to hand urgent matters to a phone number. On a WordPress site this is a lightweight addition handled through WordPress development without rebuilding the site.
Intake and conflict details
Structured intake asks the questions your intake team would ask: practice area, opposing parties for a conflict check, key dates, location and preferred contact method. AI then writes a short summary for the lawyer. Opposing party names should be handled by your conflict process, and the intake form should explain how information is used.
Follow-up in CS+
Many prospective clients contact several firms and choose the one that follows up clearly. CS+, Canada Create™’s CRM, sends consultation confirmations, reminders, document checklists and a polite follow-up when someone goes quiet, with every template approved by the firm. Nothing depends on a busy lawyer remembering to send an email.
Consultation to retainer
After the consultation, AI can draft a personalized summary of next steps and the engagement letter cover email for a lawyer to edit. The lawyer controls the content; AI removes the blank-page delay that often slows a retainer by days.
Technical protocol for safe AI in a law firm
Safe AI in a law firm rests on five controls: data classification, vendor review, access control, human review and logging. None requires a large IT department, but each needs a named owner.
Classify your data first
Every piece of information in the firm falls into a class: public, internal, confidential client information and highly sensitive material such as health records or information subject to a sealing order. Each class maps to the tools permitted to process it. Public website content can go anywhere; privileged material only goes into approved, contracted tools.
Review vendors like you would a new co-counsel
Before adopting any AI tool, a firm should get written answers to these questions:
- Training: are inputs or outputs used to train models, and can that be switched off by contract?
- Retention: how long are prompts and files kept, and can they be deleted on request?
- Access: which vendor staff or subcontractors can see your data, and under what conditions?
- Processing location: in which countries is data processed and stored, and does that meet your obligations and client expectations?
- Security: what independent security audits or certifications does the vendor hold?
- Breach notice: how quickly will the vendor tell you about an incident?
Control who can use what
Firm accounts with single sign-on, not personal accounts, keep AI use visible and revocable. When a staff member leaves, their access to every AI tool ends the same day as their email.
Build a shared prompt library
A small library of tested prompts for common tasks, such as summarizing a transcript, drafting a demand letter outline or simplifying a client letter, produces consistent results and reduces the temptation to paste confidential details into random tools.
Keep the website layer secure
A chat assistant or intake form is part of your website, so it inherits your site’s security. Updated software, encrypted forms, spam protection and reliable website hosting matter as much as the AI itself, because an intake form is a place where prospective clients share sensitive facts.
Want AI intake and follow-up built around your professional duties? Tell us about your practice and we will send a scoped plan that separates setup, monthly management and third-party costs. Get a proposal in one business day
What AI costs a law firm
AI for a law firm costs money in three separate layers: one-time setup, monthly management and third-party licences, and the total depends mostly on how many tools, users and integrations you need. Keeping the layers separate is the only way to compare quotes fairly, because many proposals bundle licence fees into a single monthly number that hides what you are really paying for.
| Cost layer | What it covers | Who you pay | What drives the cost |
|---|---|---|---|
| One-time setup | Workflow mapping, chat and intake configuration, CRM pipelines, content writing, testing and training | Your implementation partner | Number of practice areas, languages, integrations and approval rounds |
| Monthly management | Conversation review, content updates, tuning, reporting and support | Your implementation partner | Inquiry volume, number of sequences and how often content changes |
| Third-party licences | AI research platforms, enterprise AI assistants, phone systems, practice management add-ons | Each software vendor directly | Number of users, plan level and usage limits |
| Marketing and ad spend | Paid search budget and local visibility work that brings people to your intake | Google for ad spend; your agency for management | Practice area competitiveness and target cities |
Setup costs depend on scope, not on AI
Setup is mostly human work: deciding what the chat assistant may say, writing and approving intake questions, building pipelines and testing handoffs. A sole practitioner with one practice area needs far less of this than a multi-office firm with six practice areas and two intake languages.
Licence costs scale with users
Legal research platforms and enterprise AI assistants are usually priced per user per month, with volume terms for larger firms. Before you buy seats for everyone, run a pilot with the lawyers who will actually use the tool and measure whether they keep using it after the first month.
Visibility is its own budget
AI intake only helps if people reach your website. Canada Create™’s SEO programs start from CAD 1,500 per month, with higher tiers by proposal, and paid search through Google Ads management is quoted separately from the ad spend you pay Google. For other services we do not publish fixed prices, because the scope varies too much between firms; we explain the cost drivers and quote after a scoping call.
Measuring return on AI in legal work
Return on AI in a law firm is measured by comparing a few practical numbers before and after launch: response time, consultation bookings, intake completeness, time spent on defined tasks and retainers signed. Record a baseline before you change anything, or you will be arguing from impressions later.
Client journey metrics
- First response time: minutes from inquiry to first meaningful reply, including evenings and weekends.
- Inquiry to consultation rate: the share of qualified inquiries that book a consultation.
- Consultation to retainer rate: the share of consultations that sign an engagement letter.
- Intake completeness: how often a lawyer has everything needed before the first call.
Internal efficiency metrics
- Time per defined task: for example, hours to produce a first-draft chronology or a contract summary, measured on comparable files.
- Rework rate: how often AI-assisted drafts need major correction, which shows whether prompts and tools are fit for the task.
- Adoption: how many licensed users actually use the tool each week after the pilot period.
Risk metrics
Track near misses as seriously as wins: a citation that did not exist, a chatbot answer that came close to advice, or confidential details pasted into the wrong tool. A short monthly review of these events keeps the program safe and shows your law society, if ever asked, that the firm supervises its AI use.
AI by practice area
The most useful AI project differs by practice area because each area has its own intake questions, urgency and documents. These are the starting points we usually recommend.
Personal injury
Personal injury firms compete on speed of response. AI chat and intake capture accident type, date, location and treatment status at any hour, and route urgent inquiries to a lawyer quickly so limitation issues are not missed. On the file side, AI summaries of medical records and transcripts save time, provided the tool is approved for health information.
Family law
Family law intake calls for careful, calm wording and strong privacy. AI helps with consultation booking, document checklists for financial disclosure and plain-language explanations of process, while every message is reviewed for tone and for any risk of appearing to give advice.
Immigration law
Immigration practices often serve clients in several languages. Multilingual intake, document checklists and reminder sequences reduce missed documents, and AI can help translate general information pages that a lawyer or licensed consultant then reviews.
Real estate law
Real estate files run on dates and documents. Intake that captures the closing date, parties and lender, followed by automated document requests and status updates in CS+, reduces the calls asking where a file stands.
Corporate and commercial law
Corporate practices gain most from contract review and due diligence tools that extract key clauses, alongside intake that qualifies incorporation, shareholder agreement and transaction inquiries before a lawyer’s time is booked.
Criminal defence
Criminal defence inquiries are urgent and often come at night. AI routes them immediately, gives clear directions to call the firm, and avoids any discussion of the facts of the charge in writing.
Employment law
Employment practices benefit from separate intake paths for employees and employers, capturing dates of termination or complaint and key documents at first contact.
Wills and estates
Estate planning intake works well with guided questionnaires that collect family and asset information before the meeting, turning a long first meeting into a focused review.
How clients find lawyers through AI search
AI search is now part of how people choose a lawyer: Google’s AI Overviews and assistants such as ChatGPT and Gemini summarize options and sometimes name firms, based on content they can read and trust. Firms that want to appear in those answers need the same foundations as classic search, done with more care.
Answer-first practice pages
Pages that answer real client questions directly, in plain language, with the lawyer’s review, are easier for AI systems to quote. A page for each practice area and each city you serve, with accurate information and a clear next step, beats a single generic services page.
Consistent firm information everywhere
Your firm name, address, phone number, lawyers and practice areas should match across your website, Google Business Profile, law society listings and directories. Local SEO work keeps these consistent so both Google and AI assistants describe your firm correctly.
Structured data and clear authorship
Structured data tells search engines that your pages describe a law firm, its locations and its lawyers. Clear authorship and review notes on legal content show that a real professional stands behind it.
Reputation signals
Genuine reviews on your Google Business Profile influence both the local map results and how AI assistants characterize your firm. A polite, compliant review request sent from CS+ after a matter closes, where your law society’s rules permit it, keeps that signal current.
Choosing your first AI project
The best first AI project for most law firms is one with low confidentiality risk, measurable results and a clear owner, which is why intake and follow-up usually come before research or drafting. A focused 90-day plan keeps the project manageable.
Days 1 to 30: decide and prepare
Name a partner as owner, record your baseline numbers, draft an internal AI use policy and choose one workflow to improve. Collect the approved content your chat assistant and intake will rely on.
Days 31 to 60: build and approve
Configure the chat assistant, intake form and CS+ sequences, and route every client-facing message through a lawyer for approval. Train staff on the policy and on what never goes into public tools.
Days 61 to 90: launch and measure
Go live, review conversations weekly for the first month, and compare response time and booking rates against your baseline. Then decide whether to expand to another practice area, add a research or drafting tool, or invest in visibility.
Questions to ask before you sign with any AI provider
- Which tasks will this change, and how will we measure the result?
- What client information will the tool see, and what do the terms say about it?
- Who at the firm approves what the tool says to the public?
- Can we leave without penalty if it does not work?
Canada Create™ has built websites and marketing systems since 2008, is a BBB Accredited Business with an A+ rating, and works with businesses across Canada and the United States. If you want AI intake, CS+ follow-up and AI search visibility planned around your professional duties, call our 24/7* toll-free line at +1 (800) 808-9235 or get a proposal in one business day.
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Tell us your goals, budget and timeline. You get a plan, a price and a named strategist, with no long-term contract.
How we bring AI into your law firm
A clear, staged process that keeps your lawyers in control and your client information protected.
- Scoping call Week 1
We learn your practice areas, intake volume, current tools and the problems you want solved.
- Written plan and proposal Within one business day of the call
You receive a scoped plan that separates setup, monthly management and third-party costs.
- Build and content approval Weeks 2 to 5
We configure chat, forms and CS+, and every client-facing message is approved by your firm before launch.
- Testing Week 6
We test real inquiry scenarios, edge cases and handoffs to your intake team.
- Launch and tuning Ongoing
We review conversations and pipeline data monthly and adjust questions, routing and content.
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Why law firms choose Canada Create™
18+ years in digital marketing
We have been building websites and marketing systems since 2008, long before AI chat became mainstream.
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A Better Business Bureau Accredited Business with an A+ rating.
Canada and the United States
We work with businesses across Canada and the United States.
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CS+ CRM included in the workflow
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AI for lawyers: frequently asked questions
Is there any AI tool for lawyers?
Yes. Lawyers use general assistants such as ChatGPT and Microsoft Copilot, legal research platforms grounded in case law, contract analysis tools, AI features inside practice management software, and client intake tools such as website chat and CRM automation.
Is there a ChatGPT for lawyers?
Several legal research products combine a large language model with a database of case law and legislation, which is what most people mean by a ChatGPT for lawyers. The key difference from a general chatbot is that answers are grounded in real authorities, although every citation still needs to be checked.
Is AI replacing lawyers?
AI is replacing tasks, not the professional role. Drafting, summarizing and first-pass review are getting faster, while advice, advocacy, judgment and accountability remain with licensed lawyers.
Can law firms use ChatGPT with client information?
Only with care. Consumer plans may store or learn from inputs, so firms should use business or enterprise plans with training disabled, follow their law society's guidance, and avoid entering identifying client details unless the terms and controls support it.
Can an AI chatbot on a law firm website give legal advice?
It should not. A law firm chatbot should share general information, collect inquiry details and book consultations, with clear wording that no lawyer-client relationship is created.
What is the 30% rule for AI?
There is no official 30% rule. The phrase circulates online with different meanings, often that AI can handle a portion of a task while a human does the rest. For lawyers, the better rule is that a lawyer reviews 100% of anything that leaves the firm.
Which AI is better for law?
The better tool is the one grounded in your jurisdiction, covered by acceptable data terms and accurate on your own test questions. Test shortlisted tools on files where you already know the answer.
How much does AI cost for a law firm?
Costs depend on the number of tools, users and integrations. Expect separate one-time setup, monthly management and third-party licence costs. We quote each layer after a scoping call.
How long does it take to set up AI intake for a law firm?
A focused intake project usually follows a staged plan of scoping, build, content approval and testing over several weeks, depending on how quickly your firm approves messages.
Do you work with law firms outside Toronto?
Yes. Canada Create™ works with businesses across Canada and the United States.
Every missed inquiry is a client who called the next firm
People looking for a lawyer often contact several firms at once. AI-assisted intake and follow-up make sure your firm answers first and follows up properly.
