The federal government just published a national roadmap for AI adoption. For Canadian law firms, it raises some important parallel questions.
On June 4, 2026, Prime Minister Carney released “AI for All” — Canada’s new national AI strategy. It is a serious document. It names a dedicated Minister of AI, commits over $3.5 billion in investments, sets a target of raising Canadian business AI adoption from 12% to 60% by 2034, and frames the entire effort around six pillars: trust, empowerment, shared prosperity, sovereign infrastructure, scaling Canadian champions, and global alliances.
It is also a mirror for Canadian businesses and law firms. Hold it up to a typical Canadian law firm and the reflection is pretty uncomfortable.
Pillar 1 — Trust
The federal strategy opens with trust. Public confidence in AI — how it makes decisions, how it handles data, who is accountable when it gets things wrong — is the foundational precondition for everything else. Without it, adoption stalls. Given the negative reactions to AI around so-called “AI slop”, the rapid expansion of data centres for AI compute, and the perceived correlation between AI and youth unemployment, that makes total sense.
Law firms face an identical trust problem with AI, with higher stakes. Your clients are not the general public. They are companies in litigation, individuals in crisis, businesses in the middle of transactions. The information they share with you is privileged. There is expectation of discretion from the client and from the Law Societies.
And yet most firms deploying AI tools today have not established the governance structures that would allow them to say, credibly, that they know what their AI tools do with client data, where that data goes, and who has access to it. Acceptable AI use policies are often a paragraph in a broader IT policy document. Data handling agreements with AI vendors are rarely reviewed.
Trust, in the legal context, is a liability question. Firms that cannot answer basic governance questions about their AI deployments are operating a risk that has yet to be priced.
Pillar 2 — Empower Canadians
The Canadian AI strategy’s second pillar is about access — ensuring that AI literacy and capability are not concentrated in large organizations with resources to invest, but distributed across the workforce and into communities that have historically been underserved by technology transitions.
For law firms, the parallel is access within the firm itself. AI capability that lives only with the IT manager, or with one partner who has taken a personal interest, is not a firm capability. It is a dependency.
Meaningful AI adoption in a law firm requires that lawyers at every level — articling students, associates, senior counsel — understand enough about the tools they are using to use them responsibly. That does not mean everyone needs to understand how a large language model works. It means they need to understand what the tool can and cannot reliably do, what human review is still required, and when not to use it at all.
Firms that skip this empowerment step are likely accumulating silent errors and building a culture where AI output is treated as authoritative rather than as a useful starting point.
Pillar 3 — Shared Prosperity
The economic case in AI for All is very clear: AI adoption should generate nearly $200 billion in productivity gains for the Canadian economy, with the benefits distributed broadly rather than captured by a small number of large enterprises.
In professional services, the productivity gains from AI are already apparent — real but uneven. Firms that have deployed AI thoughtfully — with clear use cases, appropriate supervision, and with a clear-eyed assessment of where the tools actually help — are seeing meaningful time savings on document review, research, first-draft generation, and contract analysis. Firms that deployed tools hastily, without a clear framework, are often discovering that the time saved on drafting is spent on validation.
The question is not whether AI will change the economics of legal work. It will, and it already is. The question is whether the productivity gains accrue to your firm and your clients, or whether they accrue to the firms that moved more deliberately.
Pillar 4 — Sovereign Foundation
This is the pillar that will likely receive the least attention in media coverage and yet deserves the most attention — both from the Canadian public and in parallel, by Canadian law firms.
The strategy is very explicit about Canada’s vulnerability: researchers training models on foreign cloud platforms, sensitive data stored in foreign jurisdictions, the potential for operations of government or federally regulated industries running on infrastructure Canada does not own or control. The policy response involves investment in domestic compute capacity, data residency requirements, and international partnerships designed to reduce dependence on a small number of primarily American technology platforms. True data sovereignty across the entire technology stack may not be achievable in the short-term but this document makes the current risks very clear.
For law firms, the parallels are unavoidable. Every product comes with a data residency question that has immediate, practical implications.
Where does your AI tool process client data? If you are using a consumer or enterprise AI product without reviewing the underlying data processing agreement or related contract terms, you do not know. Data may be processed on servers outside Canada. It may be used to train future model versions. It may be accessible to the vendor’s support staff in jurisdictions with different privacy laws than your home province.
Under PIPEDA, and even more acutely under Quebec’s Law 25, cross-border transfer of personal information requires specific safeguards. Under your Law Society’s professional conduct rules, confidentiality obligations do not have a technology carve-out.
Sovereignty starts with knowing where your data is.
Pillar 5 — Scale Champions
The federal strategy includes $130 million for commercialization at Canada’s National AI Institutes and explicit attention to the problem of Canadian AI companies relocating outside the country. The goal is to build Canadian AI companies that can compete globally rather than exit early to US acquirers.
For law firms, the scaling question is structurally similar: how do you move from ad hoc AI experimentation — one lawyer using a tool, one practice group running a pilot — to firm-wide capability that actually changes how you price and deliver work?
The answer requires related infrastructure that most firms have not yet built: governance policies, approved tool lists, training protocols, end-to-end process and quality reviews, and a way to measure whether AI use is actually improving outcomes. Without that infrastructure, every new AI tool is a one-off experiment. Pockets of capability emerge but never become firm-wide capabilities.
There is a term for this — “digital transformation” — using the technology as the pivot around which to drive related business change. While AI often starts out as being about the tool or tools, it quickly becomes an exercise in people change management.
Pillar 6 — Global Alliances
Since March 2025, Canada has signed AI cooperation agreements with twelve countries, covering safety standards, shared infrastructure, and technology partnerships. The strategic logic is that no single country can develop and govern frontier AI alone.
The parallel here — your AI strategy should not be built on a single vendor, a single platform, or a single set of assumptions about how the technology will develop. The landscape is moving fast enough that concentration in any one direction is a risk. You have to be willing to diversify your vendors and experiment (which means being willing to fail — a 4-letter word rarely uttered). Vendor diversification, contractual flexibility, and regular reassessment of your AI tool stack are the firm-level equivalent of building alliances.
The Actual Question
AI for All is, at its core, a readiness document. It acknowledges that Canada has the research talent, the institutional foundations, and the policy intent to be a serious AI country — and that the gap between that potential and actual adoption is the central problem to solve.
Canadian law firms are in the same position. The research is available. The tools exist. The use cases are well-established. The gap is governance, literacy, and structured deployment. The more immediate question is whether your firm has an AI readiness strategy — and if not, what it would take to build one in the next ninety days rather than the next five years.
Author: Andrew Terrett