AI for Law Firms in Canada
Remolda helps Canadian law firms choose and set up AI for contract review, due diligence, precedent search and drafting, in line with law society guidance on confidentiality and supervision. The two-week AI Opportunity Audit costs $2,900 CAD + HST.
In short
- Price: AI Opportunity Audit $2,900 CAD + HST, fixed, two weeks; invoice from Innova Consulting Group Inc., Ottawa.
- The LSO's April 2024 white paper says licensees should not input confidential or privileged information into generative AI tools without adequate security measures.
- Federal Court: documents filed with AI-generated content need a Declaration in the first paragraph (notice of May 7, 2024).
- Data location differs by tool: Azure OpenAI can process in Canada East for some models; OpenAI and Amazon Bedrock offer storage at rest in Canada with processing elsewhere.
- Lawyers review every AI output; the firm policy and supervision rules are part of the setup.
When law firms call us
This page is for managing partners, practice group leads and firm administrators. Their first question is which AI work is safe to start, and in what order. Typical situations:
- Lawyers already use ChatGPT or Claude on their own. The firm needs a policy that meets law society guidance before client information leaks into a public tool.
- Contract review and due diligence eat associate time. The deal team wants first-pass extraction it can verify.
- The firm is choosing between legal AI products. Partners want an independent comparison on accuracy, data location and cost.
- Precedents are hard to find. Good past work sits in the document management system where few people can find it.
- Clients are asking about AI in their outside counsel guidelines. The firm needs a written answer.
What we automate for law firms
Contract review. AI extracts parties, dates, amounts, obligations, termination and assignment clauses into a review table and flags deviations from the firm's standard positions. A lawyer verifies each item against the document. See document processing.
Due diligence. AI sorts a data room by document type and pulls the terms the checklist asks for. Associates review the extraction and write the issues memo.
Precedent and knowledge search. Lawyers ask questions of the firm's own precedents and memos in iManage, NetDocuments or SharePoint. Answers cite the source document, and access follows matter permissions.
First drafts. AI drafts routine letters, NDAs and standard agreements from the firm's templates. The responsible lawyer edits and approves.
Intake and conflicts preparation. AI turns intake emails into a structured summary with party names for the conflicts search. Staff run the search and a lawyer decides.
Professional rules that shape legal AI
Law Society of Ontario white paper (April 2024). Licensees stay fully responsible for their practice, whether help comes from staff or technology. Confidential or privileged information should not go into a generative AI tool without adequate security measures. Hourly billing covers only time actually spent. Legal workplaces should have clear AI policies, so a staff AI policy is part of the first phase.
Law Society of BC guidance. Client-identifying information should ideally be left out of what a public tool receives. Lawyers should consider whether a tool could put privilege at risk. Tool selection must respect records rules 10-3 and 10-4.
Barreau du Québec. Its practical guide on generative AI, announced October 25, 2024, stresses professional secrecy, confidentiality and personal information. From April 1, 2026, a two-hour course on generative AI is mandatory for all members, to be completed by April 1, 2027.
Courts. The Federal Court's notice of May 7, 2024 requires a Declaration in the first paragraph when a filed document contains AI-generated content, and urges verification. In Ontario's Superior Court, a factum must certify the authenticity of every authority cited. Verification steps are built into any drafting workflow.
Where the data is processed. Azure OpenAI Standard deployments in Canada East keep processing in Canada for some models. Microsoft has said in-country processing in Canada for Microsoft Copilot (formerly Microsoft 365 Copilot) is expected in 2027. OpenAI offers storage at rest in Canada for eligible customers, with inference elsewhere. Vendor selection sets these side by side.
Which package fits
Most firms start with the AI Opportunity Audit: it ranks use cases by practice group and produces the policy basis. A firm that has chosen its tool can go straight to a pilot on one practice area.
| Option | Price (CAD + HST) | Time | Best for |
|---|---|---|---|
| AI Readiness Review | $490 | 1 week | A small firm that needs a position and a policy outline |
| AI Opportunity Audit | $2,900 | 2 weeks | Ranked use cases by practice group and a 12-month roadmap |
| AI Pilot Sprint | $9,800 | 6 weeks | One workflow, such as contract review for a single practice |
Full scope of each package is on the pricing page.
How the work runs
The engagement follows the Remolda Cycle: Audit → Strategy → Implement → Empower → Evolve.
- Audit. Interviews with 6–10 people: partners, associates, clerks, the firm administrator and IT. We look at matter types, document volumes and current systems. Client files stay out of the audit.
- Strategy. Use cases ranked by lawyer time, risk and client sensitivity, with the policy and supervision steps each one needs.
- Implement. A six-week pilot on one practice area, with closed matters or test documents until the firm approves live use.
- Empower. Training for lawyers and staff on verification and the firm policy.
- Evolve. Results reviewed with the practice lead and the next workflow chosen.
In our experience partner schedules and the firm's risk review usually set the pace. It depends on the number of practice groups involved. Privacy law questions are covered on the compliance page.
Typical scenario
Scenario: AI-Assisted Contract Review in a Mid-Size Law FirmA worked scenario of how this engagement would run. It describes a typical situation with no named client.Read the scenarioFrequently asked questions
What does the Law Society of Ontario say about generative AI?
Its April 2024 white paper encourages licensees to try the tools while mitigating risk. It covers competence, confidentiality, supervision and fees: licensees stay fully responsible for AI-assisted work, should not input confidential information without adequate security, and can bill hourly only for time actually spent.
Do we have to tell clients we use AI?
The LSO white paper asks licensees to consider whether to disclose AI use to clients and lists factors, such as whether client personal or proprietary information goes into the tool. One practical place for it is the engagement letter, and we draft wording for your review.
Does using AI put solicitor-client privilege at risk?
The Law Society of BC guidance says lawyers should consider whether a generative AI tool could put privilege at risk, including waiver arguments, and notes the law is at an early stage. Tool choice, contract terms and settings are selected with that risk in mind.
Do we need to declare AI use in court filings?
In the Federal Court, yes, when a filed document contains AI-generated content: a Declaration goes in the first paragraph. In Ontario's Superior Court, a factum must include a signed statement certifying the authenticity of every authority cited.
Where is client data processed?
It depends on the tool and plan. Azure OpenAI Standard deployments in Canada East process prompts in Canada for some models. OpenAI and Amazon Bedrock offer storage at rest in Canada with processing outside Canada. Anthropic's own API offers US or global processing.
Can AI connect to iManage, NetDocuments or Clio?
Often, through their supported integrations or through exported documents. The audit checks what your document management system and licence allow before any build.
How long does it take?
The audit is two weeks and a pilot is six weeks. In our experience partner availability and the firm's risk review usually set the pace; it depends on the number of practice groups involved.
Sources
- Law Society of Ontario — Licensee use of generative artificial intelligence (white paper, April 2024)
- Law Society of British Columbia — Guidance on Professional Responsibility and Generative AI
- Barreau du Québec — L'intelligence artificielle générative : guide pratique pour une utilisation responsable
- Federal Court — Notice to the Parties and the Profession: The Use of Artificial Intelligence in Court Proceedings (May 7, 2024)
- Ontario Superior Court of Justice — Consolidated Civil Provincial Practice Direction, Part 12
- Microsoft Learn — Azure OpenAI deployment types
- OpenAI — Enterprise privacy and data residency
Facts checked:
Related services
Approach phases
Related insights
LLM Integration into Existing CRM and ERP Software in Canada: Architecture, Data Residency and Cost
AI for Canadian Municipalities: Where It Works in 2026
Measuring ROI of AI Agent Deployment: A Practical Framework
Talk to an AI transformation consultant
A 30-minute call: you describe the situation, we tell you what to do first and what it would cost.
Book a 30-min call30 minutes. English or French.