🧠 AI & Injury Law Canada Post Issue #2

Welcome to this comprehensive edition of our newsletter, your essential briefing on the dynamic interplay between technological innovation and the evolving legal and regulatory landscape across Canada. We stand at a pivotal moment where artificial intelligence is no longer a futuristic concept but a tangible force reshaping numerous sectors, and this issue provides critical insights into these transformations. Our lead story focuses on Canada’s Drug Agency’s highly anticipated 2025 Watch List, which meticulously outlines the emerging AI technologies poised to revolutionize healthcare in Canada. This in-depth analysis not only highlights the remarkable potential of AI to enhance efficiency, improve patient outcomes, and boost accessibility through innovations like AI for notetaking, clinical training, disease detection, treatment, and remote monitoring, but also delves into the crucial ethical, legal, and social dilemmas that must be carefully navigated, including privacy, data security, liability, and data governance.

In this exciting edition of the AI Letterhead newsletter, we dive deeper into the fascinating intersection of AI and the legal landscape! We highlight a groundbreaking case, Zhang v. Chen, from the British Columbia Supreme Court, which underscores the potential pitfalls of AI, particularly concerning “legal hallucinations.” This serves as a powerful reminder of the necessity of human oversight and professional accountability in our ever-evolving legal field.

We also delve into the ethical considerations and the current absence of mandatory AI disclosure in BC courts, contrasting it with the practices in Federal Court. Our exploration is enriched by valuable insights from the Law Society of British Columbia, guiding us in these pioneering times.

Additionally, don't miss the thought-provoking interview clip with the CEO of Harvey AI, shedding light on how AI is revolutionizing legal services and unlocking tremendous economic opportunities in text-heavy, high-stakes environments. Join us as we navigate this exciting terrain together!

Furthermore, this edition keeps you abreast of key regulatory updates impacting various industries. We examine Health Canada’s finalized pre-market guidance for Machine Learning-Enabled Medical Devices, outlining the classification, change control requirements, bias considerations, and post-market monitoring necessary to ensure the safety and effectiveness of these technologies in our healthcare system. We also cover Alberta's proposed overhaul of its auto insurance system with Bill 47, introducing a "care-first" model aimed at reducing litigation and costs. Lastly, we detail the recent updates to the Workers' Compensation Board (WCB) Alberta's policies regarding medical diagnostic and evaluation manuals, ensuring alignment with the latest editions of key reference materials.

This newsletter is designed to provide you with a holistic understanding of these interconnected developments, offering not only a snapshot of the present but also a glimpse into the future of technology and regulation in Canada. By exploring these critical topics, we aim to equip you with the knowledge necessary to navigate this rapidly changing environment, whether you are directly involved in these sectors or simply seeking to understand the forces shaping our society. Dive in to gain valuable insights and stay ahead of the curve.

🔍 Top Story

2025 Watch List: Artificial Intelligence in Health Care:

 Overview:

The 2025 Watch List from Canada’s Drug Agency unveils a landscape of emerging AI technologies and critical issues poised to redefine the future of health care in Canada.

As artificial intelligence makes its mark on the medical field, it offers revolutionary opportunities to enhance efficiency, improve patient outcomes, and boost accessibility. However, this transformative potential comes with a set of ethical, legal, and social dilemmas that must be navigated carefully.

Why AI in Health Care Matters

AI is not just a distant future concept; it is actively being woven into the fabric of the Canadian healthcare system. From improving patient experiences to streamlining clinical workflows, the integration of AI is increasingly prevalent.

Innovative tools like Chatgpt are being adopted by patients and clinicians alike, often in ways that extend beyond official training or guidelines. This organic usage highlights a growing enthusiasm for technology that can assist in overcoming traditional barriers in health care.

AI has the capacity to revolutionize medical practice by automating complex cognitive tasks, alleviating the heavy administrative burden on healthcare professionals, and addressing critical workforce shortages that plague the system.

Key Technologies to Watch

- AI for Notetaking:

These technologies reduce administrative tasks, making documentation efficient and allowing healthcare professionals to focus more on patient care.

- AI Tools for Clinical Training:

 Designed to accelerate medical education, these tools enhance the training of future healthcare providers, ensuring they are equipped with the necessary skills and knowledge at a faster rate than traditional methods allow.

- AI for Disease Detection & Diagnosis:

 These technologies employ sophisticated algorithms to improve the accuracy of identifying various health conditions, enabling earlier interventions and potentially saving lives.

- AI for Disease Treatment:

These innovative systems support the development of personalized and optimized treatment plans, tailoring therapies to patients' individual needs for more effective outcomes.

- AI for Remote Monitoring:

 Leveraging technology to monitor patient's health outside of clinical settings, these tools facilitate ongoing observation, ensuring timely responses to any health changes and fostering a more proactive approach to patient care.

Key Issues to Watch

-Privacy and Data Security:

Safeguarding patient information must be treated with the utmost seriousness in healthcare. The confidentiality and security of sensitive data are not merely best practices; they are foundational principles that healthcare providers are legally and ethically bound to uphold.

-Liability and Accountability:

The intersection of artificial intelligence and medical decision-making presents a landscape fraught with ambiguity regarding liability. As we navigate this uncharted territory, it is imperative to scrutinize the allocation of responsibility when AI systems render recommendations that could result in adverse outcomes, thereby raising pertinent questions about accountability.

-Data Availability, Quality, and Bias:

The integrity of AI applications in the healthcare sector is intrinsically linked to the quality of data on which these systems are trained. Ensuring that datasets are comprehensive and devoid of bias is not just a technical requirement; it is a legal obligation to mitigate discriminatory outcomes and enhance the reliability of AI technologies.

-Data Sovereignty and Governance:

The governance of health data generated by AI systems poses significant legal challenges. The complexities surrounding data sovereignty are critical to establishing control mechanisms that respect both individual rights and regulatory frameworks.

-Canadian Legal Implications: 

In Canada, the healthcare AI framework is largely delineated by established legislation, particularly the Personal Information Protection and Electronic Documents Act (PIPEDA). This statute sets forth the legal standards for data privacy and is essential for navigating the challenges posed by AI technologies.

-Liability and Accountability in Medical Decision-Making:

The legal ramifications of AI-assisted medical decisions are evolving and remain ambiguous. Healthcare practitioners must exercise heightened vigilance regarding the medico-legal risks associated with reliance on AI tools, particularly in instances where these systems may produce inaccurate clinical recommendations.

-Automated Decision-Making Regulations:

Presently, Canada lacks comprehensive legislation specifically regulating AI-driven decision-making processes. Nonetheless, Quebec’s Law 25 stands as an important legislative advancement, emphasizing the necessity for transparency and the empowerment of individuals to rectify inaccuracies in personal data utilized in automated frameworks.

-Medical Device Regulation:

AI-enabled medical devices must rigorously comply with Canadian health regulations. These regulations are designed to safeguard patient safety and ensure AI systems' efficacy in clinical environments.

-Ethical and Legal Risks:

The incorporation of AI in healthcare brings forth a spectrum of ethical and legal challenges. Issues ranging from potential breaches of privacy to intellectual property disputes and human rights considerations necessitate a thorough examination of the ethical landscape in which these technologies operate.

Implications:

The Watch List is an invaluable resource in shaping health system planning. It is meticulously crafted to optimize advantages while diligently minimizing associated risks. Systematically analyzing emerging trends and potential pitfalls provides a comprehensive framework for decision-makers.

Moreover, ongoing research and the development of robust policies are imperative for the thoughtful and responsible incorporation of artificial intelligence into healthcare. This process supports innovation and prioritizes patient safety and ethical considerations, ensuring that the deployment of AI technologies aligns with best practices and societal values. The Watch List functions as a critical instrument in informing health system planning, expertly designed to optimize benefits while minimizing associated legal and operational risks. Thoroughly assessing emerging trends and potential liabilities provides a robust framework supporting sound healthcare decision-making.

Additionally, ongoing legal research and the formulation of comprehensive policies are imperative for the prudent and ethical integration of artificial intelligence in healthcare practices. This framework not only fosters innovation and compliance with regulatory standards but also prioritizes patient safety and ethical responsibilities, ensuring that the implementation of AI technologies adheres to established best practices and protects the interests of all stakeholders involved.

📈 Quick Bytes

🏥Health Canada’s Pre-Market Guidance for Machine Learning-Enabled Medical Devices (MLMDs), finalized in February 2025, outlines:

Regulation: MLMDs are classified under Class II, III, and IV, and they require safety and effectiveness evidence.

- Change Control: Predetermined Change Control Plans (PCCPs) allow for streamlined updates.

- Bias and Transparency: Manufacturers must address algorithmic bias and incorporate Sex and Gender-Based Analysis Plus (SGBA Plus).

- Monitoring: Continuous post-market monitoring is required to manage risks.

- Compliance: Strong programs are needed to meet regulatory obligations while fostering innovation.

This guidance aims to ensure MLMD safety and effectiveness in Canada’s healthcare sector.

📝 New legislation proposes changes to Alberta's auto insurance system

Alberta's Bill 47, effective January 1, 2027, introduces a "care-first" auto insurance model to reduce litigation and costs. It covers medical expenses, rehabilitation, and death benefits. An independent tribunal will handle claims appeals. While supported by the Insurance Bureau of Canada, some lawyers argue it limits accountability for negligent drivers and may lead to significant job losses in the legal sector.

🧠 History of changes to the Policies and Information Manual

The Workers' Compensation Board (WCB) Alberta recently updated its policies regarding medical diagnostic and evaluation manuals. As of April 1, 2025, the latest editions of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5-TR) and the American Medical Association Guides for the Evaluation of Permanent Impairment (Sixth Edition, 2024) are now in use. These updates are consistent with WCB policies, ensuring new editions are applied as soon as practicable. Any changes to policies are indicated by shaded text or margin shading within the documents. The WCB Alberta page also provides information on claims procedures, benefits, employer services, medical treatment guidelines, and return-to-work strategies.

⚖️ Canadian Case Watch

Zhang v. Chen, 2024 BCSC 285– BC Supreme Court

Here are the key points:

AI-Generated Fake Legal Authorities:

A legal practitioner recently made an error by submitting a notice of application with fake legal citations. This mistake happened because the practitioner used a generative text tool that could produce incorrect legal references. Such errors are significant since accurate legal citations are crucial for the credibility of any legal document. This incident highlights the importance of attorneys carefully checking all sources and citations in their documents, ensuring they maintain professional diligence and precision in their work.

Court Ruling:

In reviewing the case, it is evident that Justice Masuhara expressed significant concern regarding the conduct of the lawyer involved. The characterization of the lawyer's actions as “alarming” indicates a level of disapproval, yet it is noteworthy that the court did not classify those actions as reprehensible. This distinction suggests a nuanced understanding of the circumstances surrounding the case.

Moreover, while special costs were not ordered, it is essential to highlight that the lawyer was held personally liable for the ordinary costs incurred. This ruling underscores the importance of maintaining accountability within the legal profession, ensuring that practitioners uphold the standards expected in their duties. It serves as a reminder that while not every misstep may warrant punitive measures, there remains an expectation of professionalism that must be adhered to in all legal proceedings.

Ethical Implications:

The present case highlights the fundamental obligation of attorneys to uphold a standard of competence in their practice. It is imperative that legal professionals engage in diligent verification of any outputs generated by artificial intelligence. This duty extends beyond mere utilization; it requires a thorough understanding of the tools at our disposal and an unwavering commitment to ensuring the accuracy and reliability of information that may impact legal outcomes. As the use of AI becomes increasingly prevalent in the legal field, the necessity for attorneys to critically evaluate these technologies becomes ever more pronounced. Failure to do so jeopardizes the integrity of the legal profession and the interests of the clients we serve.

Disclosure of AI Use in BC Courts:

In the recent court proceedings, the presiding judge indicated that it would be "prudent" to disclose AI-generated content. However, it is important to note that, in contrast to other jurisdictions within Canada that impose a formal obligation for such disclosure, the courts in British Columbia currently do not have an official requirement in place. As such, practitioners should carefully consider the implications of AI-generated materials in their submissions, notwithstanding the lack of a statutory mandate for disclosure in this province.

Legal Community Response:

The Law Society of British Columbia has provided ongoing guidance concerning the utilization of artificial intelligence within the legal profession. Practitioners must thoroughly verify the requirements set forth by the courts regarding the disclosure of AI-generated materials. Adhering to these guidelines not only ensures compliance with legal standards but also upholds the integrity of the legal practice. Lawyers must remain vigilant and informed about the evolving landscape of AI technology and its implications for their responsibilities to clients and the court.

Federal Court Approach:

In accordance with recent directives from the Federal Court, it is now mandated that parties must provide a declaration indicating whether artificial intelligence (AI) was utilized in the preparation of relevant materials. Notably, this requirement does not extend to the necessity of disclosing the specific methods or extent of AI application in the creation of such materials. This evolving legal standard reflects an increasing recognition of the role that AI technologies may play in legal proceedings while balancing the need for confidentiality concerning the intricacies of their use. Counsel should ensure compliance with this requirement to mitigate any potential implications for the admissibility of evidence or other judicial considerations.

Risks of AI in Legal Contexts:

Recent studies have demonstrated that inaccuracies in legal analyses generated by artificial intelligence are alarmingly common. This underscores the critical importance of maintaining human oversight in the use of AI within legal practice. As the complexities of the law continue to evolve, reliance solely on AI-generated outputs can lead to significant consequences, including misinterpretations of legal statutes and misapplications of precedent. Therefore, it is imperative that legal professionals remain engaged in the review and validation of any AI-assisted work to ensure accuracy and adherence to ethical standards. In doing so, we can leverage AI's efficiency while safeguarding our legal system's integrity.

Why this matters:

The Zhang v. Chen ruling underscores the critical role of ethical responsibility in legal practice, particularly when using AI tools for research. It highlights the growing concern over AI-generated hallucinations, emphasizing the risks of relying on unverified AI outputs. The case demonstrates the importance of human oversight and the duty of competence in legal proceedings, reinforcing that professionals must verify AI-generated content to maintain the integrity of court submissions. While British Columbia has not mandated AI disclosure in legal filings, this decision raises questions about whether courts will adopt formal policies similar to other Canadian jurisdictions. As regulatory bodies, such as the Law Society of British Columbia, continue to refine their stance on AI use, lawyers may face increasing scrutiny over how they integrate AI into their work. Additionally, the Federal Court’s balanced approach—requiring a declaration of AI use without specifying details—sets a potential precedent for broader implementation. As AI technology continues to evolve, this ruling signals a need for cautious integration, ensuring accuracy while balancing innovation and professional responsibility.

🧠 Key takeaway:

Legal Hallucinations:

 AI-generated legal citations may be fictitious, necessitating human verification before court submissions.

Professional Responsibility:

Lawyers must exercise diligence in using AI, understand its limitations, and verify outputs to uphold ethical standards.

Unclear AI Disclosure in BC:

British Columbia lacks official guidance on AI disclosure in legal filings, creating uncertainty for professionals.

Federal Court's Approach:

The Federal Court requires a declaration of AI use but does not mandate detailed disclosure, balancing transparency and solicitor-client privilege.

Evolving Regulation:

The ruling indicates that courts and legal bodies like the Law Society of British Columbia are adapting to AI's increasing presence.

This case highlights the risks of AI and the need for cautious integration of these tools in legal processes.

🎙️ Expert Voices

Interview: How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg

Hosted by: Sonya Huang and Pat Grady, Sequoia Capital

Winston Weinberg: “ I think one thing that when people are talking about agents they're talking about these tasks that are like quite simple and don't have massively high economic value when we're talking about building workflows and putting kind of agents in those we're talking tasks that cost hundreds of thousands of dollars right I mean one reason the legal industry is so good for LLMS is if you kind of think of this is the industry text-based and then how valuable is a token right and a token is incredibly valuable in legal and professional services if you look at like a merger agreement like a 50-page word agreement the token in there like at each piece of a word is worth so much money if you think about how much it cost to produce so this is all to say I think the end state are you keep building these agents and workflows and then you chain them together as much as you can ”

Interpretation:

When people talk about AI agents today, they usually refer to systems that complete relatively simple, low-value tasks like scheduling meetings, summarizing emails, or pulling data from websites. While useful, these tasks don’t have a significant economic impact on their own.

But when you start thinking about embedding agents into workflows, especially in high-value domains like law, you shift to a completely different scale of impact. Workflows in these industries can cost hundreds of thousands of dollars to complete. In law, for example, a single legal process—say, due diligence or contract review—might involve dozens of professionals working for many hours.

One of the reasons the legal industry is such a fertile ground for large language models (LLMS) is that it checks two key boxes:

It’s highly text-based.

Each “token” of text has immense value.

A “token” in LLM-speak is just a small chunk of text (a word or part of a word), and in legal documents, every token is expensive. For instance, a 50-page merger agreement isn’t just a block of words—it’s the output of legal expertise, negotiation, and risk management, often costing tens or even hundreds of thousands of dollars to produce. So, if an AI agent can help interpret or generate even a fraction of that document, it’s creating real economic value.

The vision is to build more capable agents to handle more complex steps in high-value workflows. Eventually, you can chain these agents together—linking their outputs and inputs—to automate entire workflows end-to-end. That’s where agents' truly transformative potential lies: completing simple tasks and coordinating multiple complex, valuable actions that traditionally required significant human labour.

In conclusion, the insights presented in this newsletter underscore a pivotal moment for Canada as it navigates the increasing influence of artificial intelligence across healthcare, the legal system, and other vital sectors. The opportunities for innovation and progress are significant, but they must be balanced with careful attention to ethical considerations, legal frameworks, and the need for ongoing adaptation. As we move forward, proactive planning, continuous learning, and robust policy development will be essential to harnessing the full potential of these advancements while mitigating potential risks and ensuring a future ¹ that prioritizes safety, accountability, and the well-being of all Canadians.

📩 Stay Smart, Stay Ahead

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