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AI Watch: Global regulatory tracker

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Keeping track of AI regulatory developments around the world.

The global dash to regulate AI

Artificial intelligence (AI) has made enormous strides in recent years and has increasingly moved into the public consciousness.

Increases in computational power, coupled with advances in machine learning, have fueled the rapid rise of AI. This has brought enormous opportunities, as new AI applications have given rise to new ways of doing business. It has also brought potential risks, from unintended impacts on individuals (e.g., AI errors harming an individual's credit score or public reputation) to the risk of misuse of AI by malicious third parties (e.g., by manipulating AI systems to produce inaccurate or misleading output, or by using AI to create deepfakes).

Governments and regulatory bodies around the world have had to act quickly to try to ensure that their regulatory frameworks do not become obsolete. In addition, international organizations such as the G7, the UN, the Council of Europe and the OECD have responded to this technological shift by issuing their own AI frameworks. But they are all scrambling to stay abreast of technological developments, and already there are signs that emerging efforts to regulate AI will struggle to keep pace. In an effort to introduce some degree of international consensus, the UK government organized the first global AI Safety Summit in November 2023, with the aim of encouraging the safe and responsible development of AI around the world. 

Most jurisdictions have sought to strike a balance between encouraging AI innovation and investment, while at the same time attempting to create rules to protect against possible harms. However, jurisdictions around the world have taken substantially different approaches to achieving these goals, which has in turn increased the risk that businesses face from a fragmented and inconsistent AI regulatory environment. Nevertheless, certain trends are becoming clearer at this stage:

  1. "AI" means different things in different jurisdictions: One of the foundational challenges that any international business faces when designing an AI regulatory compliance strategy is figuring out what constitutes "AI." Unfortunately, the definition of AI varies from one jurisdiction to the next. For example, the draft text of the EU AI Act adopts a definition of "AI systems" that is based on (but is not identical to) the OECD's definition, and which leaves room for substantial doubt due to its uncertain wording. Canada has proposed a similar, though more concise, definition. Various US states have proposed their own definitions, which differ from one another. And many jurisdictions (e.g., the UK, Israel, China, and Japan) do not currently provide a comprehensive definition of AI. Because several of the proposed AI regulations have extraterritorial effect (meaning more than one AI regulation may apply simultaneously), international businesses may be forced to adopt a "highest common denominator" approach to identifying AI based on the strictest applicable standard.
  2. Emerging AI regulations come in different forms: The various emerging AI regulations have no consistent legal form – some are statutes, some are executive orders, some are expansions of existing regulatory frameworks, and so on. The EU AI Act is a "Regulation" (which means that most of it will apply directly in all EU Member States, without the need for national implementation in most cases). The UK has taken a different approach, declining to legislate at this early stage in the development of AI, and instead choosing to task existing UK regulators with the responsibility of interpreting and applying five AI principles in their respective spheres. In the US, there is a mix of White House Executive Orders, federal and state initiatives, and actions by existing regulatory agencies, such as the Federal Trade Commission. As a result, the types of compliance obligations that international businesses face are likely to be materially different from one jurisdiction to the next. Many other jurisdictions have yet to decide whether they will issue sector-specific or generally applicable rules and have yet to decide between creating new regulators or expanding the roles of existing regulators, making it challenging for businesses to anticipate what form their AI regulatory relationships will take in the long term.
  3. Emerging AI regulations have different conceptual approaches: The next difficulty is the lack of a consistent conceptual approach among emerging AI regulations around the world – some are legally binding while others are not, some are sector-specific while others apply across all sectors, some will be enforced by regulators while others are merely guidelines or recommendations, and so on. As noted above, the UK approach is to use existing regulators to implement five AI principles, but with no new explicit legal obligations. This has the advantage of meaning that businesses will deal with AI regulators with whom they are already familiar but has the disadvantage that different UK regulators may interpret these principles differently in their respective spheres. The EU AI Act is cross-sectoral and creates new regulatory and enforcement powers for existing bodies, including the European Commission, and also creates entirely new bodies such as the AI Board and the AI Office, while leaving EU Member States to appoint their own AI regulators tasked with enforcing the AI Act. In the US, the Federal Trade Commission, Equal Employment Opportunity Commission, Consumer Financial Protection Bureau, and Department of Justice issued a joint statement clarifying that their existing authority covers AI, while various state regulators are also likely to have competence to regulate AI. International organizations including the OECD, the UN, and the G7 have issued AI principles, but these impose no legal obligations on businesses. In principle, these initiatives encourage consistency across members of each organization, but in practice this does not seem to have worked.
  4. Flexibility is a double-edged sword: In an effort to create AI regulations that can adapt to technological advances that have not yet been anticipated, many jurisdictions have sought to include substantial flexibility in those regulations, either by using deliberately high-level wording and policies, or by allowing for future interpretation and application by courts and regulators. This has the obvious advantage of prolonging the lifespan of such regulations by allowing them to be adapted to future technologies. However, it also creates the disadvantage of uncertainty because it leaves businesses uncertain of how their compliance obligations will be interpreted in the future. This is likely to mean that it is harder for businesses to know whether their planned implementations of AI will be lawful in the medium-to-long term and may make it harder to attract long-term AI investment in those jurisdictions.
  5. The overlap between AI regulation and other areas of law is complex: A substantial number of laws that are not directly focused on AI nevertheless apply to AI by association within their respective spheres, meaning that any use of AI will often trigger compliance issues and legal challenges even where there is not (yet) any enforceable AI-specific law. These areas of overlap include: IP (e.g., IP infringement issues with respect to AI model training data, and questions about copyright and patentability of AI-assisted inventions); antitrust; data protection (which adds restrictions to processing of personal data, and in some cases imposes special compliance obligations for processing carried out by automated means, including by AI); M&A (where AI innovation is driving dealmaking in many markets); financial regulation (where financial regulatory requirements may limit the ways in which AI can lawfully be deployed); litigation; digital infrastructure; securities; global trade; foreign direct investment; mining & metals; and so on. This overlap will mean that many businesses need to understand not just AI regulations in general, but also any rules that affect the use of AI in the context of the relevant sector or business activity.

Businesses in almost all sectors need to keep a close eye on these developments to ensure that they are aware of the AI regulations and forthcoming trends, in order to identify new opportunities and new potential business risks. But even at this early stage, the inconsistent approaches each jurisdiction has taken to the core questions of how to regulate AI is clear. As a result, it appears that international businesses may face substantially different AI regulatory compliance challenges in different parts of the world. To that end, this AI Tracker is designed to provide businesses with an understanding of the state of play of AI regulations in the core markets in which they operate. It provides analysis of the approach that each jurisdiction has taken to AI regulation and provides helpful commentary on the likely direction of travel.

Because global AI regulations remain in a constant state of flux, this AI Tracker will develop over time, adding updates and new jurisdictions when appropriate. Stay tuned, as we continue to provide insights to help businesses navigate these ever-evolving issues.

Articles

Australia

Voluntary AI Ethics Principles guide responsible AI development in Australia, with potential reforms under consideration.

Australia

Brazil

The enactment of Brazil's proposed AI Regulation remains uncertain with compliance requirements pending review.

Sao Paulo

Canada

AIDA expected to regulate AI at the federal level in Canada but provincial legislatures have yet to be introduced.

Canada

China

The Interim AI Measures is China's first specific, administrative regulation on the management of generative AI services.

China

Council of Europe

The Council of Europe is developing a new Convention on AI to safeguard human rights, democracy, and the rule of law in the digital space covering governance, accountability and risk assessment.

European Union

European Union

The EU introduces the pioneering EU AI Act, aiming to become a global hub for human-centric, trustworthy AI.

 

European Union

France

France actively participates in international efforts and the EU AI Act negotiations, and proposes sector-specific laws.

Paris

G7

The G7's AI regulations mandate Member States' compliance with international human rights law and relevant international frameworks.

G7 flags

Germany

Germany evaluates AI-specific legislation needs and actively engages in international initiatives.

Germany

India

National frameworks inform India’s approach to AI regulation, with sector-specific initiatives in finance and health sectors.

India

Israel

Israel promotes responsible AI innovation through policy and sector-specific guidelines to address core issues and ethical principles.

Israel

Italy

Italy plays a prominent role in EU AI Act negotiations and engages in political discussions for future laws.

Milan

Japan

Japan adopts a soft law approach to AI governance but lawmakers advance proposal for a hard law approach to generative AI foundation models.

Tokyo

Kenya

Kenya's National AI Strategy and Code of Practice expected to set foundation of AI regulation once finalized.

Kenya
Kenya

Nigeria

Nigeria's draft National AI Policy underway and will pave the way for a comprehensive national AI strategy.

Nigeria
Nigeria

Norway

Position paper informs Norwegian approach to AI, with sector-specific legislative amendments to regulate developments in AI.

Norway

OECD

The OECD's AI recommendations encourage Member States to uphold principles of trustworthy AI.

country flags

Saudi Arabia

Saudi Arabia is yet to enact AI Regulations, relying on guidelines to establish practice standards and general principles.

Riyadh_Hero_1600x600 Saudi Arabia

Singapore

Singapore's AI frameworks guide AI ethical and governance principles, with existing sector-specific regulations addressing AI risks.

Singapore

South Korea

South Korea's AI Act to act as a consolidated body of law governing AI once approved by the National Assembly.

Korea

Spain

Spain creates Europe's first AI supervisory agency and actively participates in EU AI Act negotiations.

Madrid

Switzerland

Switzerland's National AI Strategy sets out guidelines for the use of AI, and aims to finalize an AI regulatory proposal in 2025.

Switzerland

Taiwan

Draft laws and guidelines are under consideration in Taiwan, with sector-specific initiatives already in place.

Taiwan city

Turkey

Turkey has published multiple guidelines on the use of AI in various sectors; Turkish government expected to enact AI-specific regulation in the near future.

Türkiye

United Kingdom

The UK prioritizes a flexible framework over comprehensive regulation and emphasizes sector-specific laws.

London hero image

United Nations

The UN's new draft resolution on AI encourages Member States to implement national regulatory and governance approaches for a global consensus on safe, secure and trustworthy AI systems.

United Nations

United States

The US relies on existing federal laws and guidelines to regulate AI but aims to introduce AI legislation and a federal regulation authority.

New York city photo

Contacts

Tim Hickman
Partner
London
Erin Hanson
Partner
New York
Dr. Sylvia Lorenz
Partner
Berlin
Canada

AI Watch: Global regulatory tracker - Canada

AIDA expected to regulate AI at the federal level in Canada but provincial legislatures have yet to be introduced.

Insight
|
14 min read

Laws/Regulations directly regulating AI (the “AI Regulations”)

Canada is expected to regulate AI at the federal level, through the Artificial Intelligence and Data Act (AIDA), which forms part of Bill C-27, a bill that also includes the Consumer Privacy Protection Act (an update to the current federal privacy law) and the Personal Information and Data Protection Tribunal Act.1

At the provincial level, provincial legislatures have yet to introduce laws to directly regulate AI. The Innovation Council of Quebec, a body mandated by the government of Quebec, has however, recently recommended the adoption by the provincial legislature of a law to regulate AI specifically.2

Status of the AI Regulations

AIDA was introduced in June 2022 and successfully passed its second reading, and was referred to the Standing Committee on Industry Science and Technology ("the Committee") on April 24, 2023.3 The original version of AIDA contained limited substantive content as it left most key elements of the legal regime to be set out at a later date in regulations (including the main compliance obligations and the definition of "high-impact systems," which are the primary focus of the Bill). The Minister of Innovation, Science and Industry, François-Philippe Champagne, subsequently presented the Committee with proposed amendments on November 28, 2023 ("the Proposed Amendments") which are substantial and have addressed some of the concerns regarding the first iteration of AIDA.4 The Proposed Amendments have not yet been officially adopted.

It is unclear when AIDA will come into effect; it is yet to be voted out of committee, and there is some doubt whether it will pass before October 2025 (the deadline to hold a federal election).5 Others have called for AIDA to be stripped out of Bill C-27 and overhauled.6

Other laws affecting AI

There are various laws that do not directly seek to regulate AI, but that may affect the development or use of AI in Canada, whether federal, provincial or territorial. A non-exhaustive list of related laws affecting AI includes: 

  • At the federal level, the Privacy Act and the Personal Information Protection and Electronic Documents Act (PIPEDA).7
  • At a provincial level, the Personal Information Protection Act, SA 2003 (in Alberta); the Personal Information Protection Act (in British Columbia); and the Act Representing the Protection of Personal Information in the Private Sector (in Quebec). Amendments to the Quebec Act that entered into force in September 2023 now regulate automated decision-making based on the processing of personal information, and require disclosure of the occurrence of processing and the provision of information about the reasons and factors that have led to a decision. This new obligation is inspired by Article 22 of the GDPR.
  • Intellectual property laws may affect several aspects of AI development and use.
  • Competition law may have influence over the structure of the AI market in Canada. In March 2024, the Competition Bureau of Canada has launched a call for comments on the intersection of AI and competition law. 
  • Although no specific changes have been proposed at this moment, the Innovation Council of Quebec has recommended amending Quebec labor law to account for the impacts of AI.8
  • Existing human rights and anti-discrimination laws (including the Canadian Human Rights Act) regulate discriminatory outcomes and practices, such as those that may result from biased outputs and decisions from AI systems.

Definition of “AI”

Further to the Proposed Amendments, AIDA currently adopts the following definitions:

  • "Artificial intelligence system" means a "system that, using a model, makes inferences in order to generate output, including predictions, recommendations or decisions".9
  • "General-purpose system" means an "artificial intelligence system that is designed for use, or that is designed to be adapted for use, in many fields and for many purposes and activities, including fields, purposes and activities not contemplated during the system's development".10
  • "Machine-learning model" means a "digital representation of patterns identified in data through the automated processing of the data using an algorithm designed to enable the recognition or replication of those patterns".11

The Proposed Amendments clarify that an AI system may be a general-purpose system and a high-risk system at the same time.12

Territorial scope

AIDA has a wide territorial scope. Per the Proposed Amendments, Part 1 of AIDA applies in respect of: (i) AI systems or machine learning models made available in the course of international or interprovincial trade and commerce (cross-border trade); and (ii) the management of the operations of AI systems used in the course of cross-border trade.13

In the event a provincial legislation would adopt its own AI law, it remains unclear to what extent AIDA would apply to activities inside this province. Per the Canadian Constitution, federal and provincial government have specific fields of competence where they have authority to legislate. It is possible that the AI law may follow the same path as privacy law: Where some provinces (like Quebec, Alberta and British Columbia) have adopted their own privacy laws, PIPEDA does not apply in their field of competence (but may regulate sectors under federal jurisdiction, like banking). However, in provinces with no general privacy laws (like Ontario), PIPEDA fully applies.

Sectoral scope

While "high-impact systems" (see below) are defined by reference to their potential use in certain classes (some of which relate to sectors), AIDA does not generally adopt a sector-specific approach. Instead, AIDA imposes different obligations on certain persons depending on: (i) the type of AI system they are involved with (i.e., general-purpose, machine-learning models, or high-impact systems); and (ii) their position along the AI value chain.14

Compliance roles

As per the Proposed Amendments, obligations are tailored to each organization's role in the AI value chain. Specifically, the following persons have obligations under AIDA:

  • In relation to general-purpose AI systems15 and high-impact systems16 – persons who manage such systems; persons who make such systems available; and persons who make such systems available for the first time in the course of cross-border trade. 
  • In relation to machine-learning models17 – persons who first make a machine-learning model available, for incorporation into a high-impact system, in the course of cross-border trade.

Core issues that the AI Regulations seek to address

AIDA's stated purposes are: (i) to regulate cross-border trade in AI systems by establishing common requirements applicable across Canada, for the design, development and use of those systems; and (ii) to prohibit certain conduct in relation to AI systems that may result in serious harm to individuals or harm to their interests (in particular, biased outputs).18

Risk categorization

If an AI system's intended use(s) falls within one of seven classes identified in the Proposed Amendments, that AI system will be considered to be a "high-impact system."19 Specifically, an AI system will be considered "high-impact" if it is used:

  1. To determine employment matters (i.e., to determine employment, recruitment, referral, hiring, remuneration, promotion, training, apprenticeship, transfer or termination). 
  2. In matters relating to service access, specifically, AI systems used: (i) to determine whether to provide services to an individual, or the type or cost of services to be provided to an individual; or (ii) to prioritize services to be provided to individuals.
  3. To process biometric information in matters relating to: (i) the identification of an individual, except where such information is processed with the individual's consent to authenticate their identity; or (ii) the assessment of an individual's behavior or state of mind.
  4. In matters relating to content moderation and prioritisation, specifically, AI systems used in: (i) the moderation of content that is found on an online communications platform, including a search engine or social media service; or (ii) the prioritization of the presentation of such content.
  5. In healthcare or emergency services matters, with certain exceptions, pursuant to the Food and Drugs Act.
  6. By a court or administrative body in determinations relating to an individual who is a party to proceedings.
  7. To assist a peace officer, as defined in the Criminal Code, in the exercise and performance of their law enforcement powers, duties, and functions.20

Key compliance requirements

AIDA adopts a detailed approach to compliance requirements.21 Some of these requirements (such as those relating to risk management measures) are specific to particular roles in the AI value chain. For example:

  • Persons who first make a machine-learning model available for incorporation into a high-impact system, in the course of cross-border trade (i.e., developers), must establish measures to identify, assess and mitigate against the risks of biased output before the model is made available.22
  • In contrast, persons who first make high-impact systems available must ensure that risk mitigation measures are in place, and that they have been tested.23 Those who manage the high-impact systems are responsible for actually conducting tests to establish the mitigation measures effectiveness.24

Other AIDA requirements are tailored to the distinct challenges and objectives at each point in the AI value chain:

  • Persons who first make a machine-learning model available for incorporation into a high-impact system, in the course of cross-border trade, must ensure that measures respecting the data used in developing the model have been established in accordance with regulations.25
  • In contrast, high-impact system operators must establish measures that allow for users to provide feedback on the system's performance.26

One of the key obligations introduced by the Proposed Amendments is the establishment and maintenance of written accountability frameworks by persons who make a general-purpose system or high-impact system available, or who manage the operations of such systems. Written accountability frameworks shall include (among other things): (i) a description of the roles, responsibilities, and reporting structure for all personnel who contribute to making the system available or managing its operations; (ii) policies and procedures respecting the management of risks relating to the system and the data used by the system; and (iii) anything else required by regulation.27

Regulators

Under the Proposed Amendments, the Artificial Intelligence and Data Commissioner ("the Commissioner") nominated by the minister in charge of the Act has central responsibility for enforcing AIDA. If the Commissioner is absent or incapacitated, or if no Commissioner is designated, the relevant minister will fulfil the role of the Commissioner.28

Enforcement powers and penalties

The Commissioner has the power to:

  • Compel the provision of an accountability framework, and provide guidance or recommendations as to corrective measures that need to be taken in relation to that framework.29
  • Compel a person who makes available or manages any AI system to provide an assessment as to whether the AI system is one of those subject to AIDA.30
  • Conduct an audit, require any person to conduct an audit, or require any person to engage the services of an independent auditor if the Commissioner has reasonable grounds to believe that a person has contravened or is likely to contravene certain sections of AIDA.31
  • Disclose and receive information to and from other regulators, including (among others) the Privacy Commissioner, the Canadian Human Rights Commission, the Commissioner of Competition, and the Financial Consumer Agency of Canada.32

The penalties available under AIDA were unchanged by the Proposed Amendments, although further revisions will likely be necessary.33 Currently, contravention of sections 6 through 12 and certain other offences are punishable as follows:34

  • On a conviction on indictment, by: (i) a fine of not more than the greater of CAD 10 million and 3 percent of gross global revenues in the preceding financial year for companies; and (ii) a fine at the discretion of the court, for individuals.
  • On a summary conviction, by: (i) a fine of not more than the greater of CAD 5 million and 2 percent of gross global revenues in the preceding financial year for companies; and (ii) a fine of not more than CAD 50,000 for individuals. 

General offenses35 are punishable as follows:36

  • On conviction on indictment, by: (i) a fine of not more than the greater of CAD 25 million and 5 percent of gross global revenues in the preceding financial year for companies; and (ii) a fine at the discretion of the court, or a term of imprisonment of up to five years less a day, or both, in the case of an individual.
  • On summary conviction, by: (i) a fine of not more than the greater of CAD 20 million and 4 percent of gross global revenues in the preceding financial year for companies; and (ii) a fine of not more than CAD 100,000 or to a term of imprisonment of up to two years less a day, or both, in the case of an individual.

1 See here
2 See
here (in French).
3 See
here.
4 See
here
5 See
here and here
6 See
here.
7 Note that if Bill C-27 is adopted, PIPEDA will be replaced by the Consumer Privacy Protection Act and the Electronic Documents Act.
8 See
here (in French).
9 See the
Proposed Amendments, p.17.
10 See the
Proposed Amendments, p.19.
11 See the
Proposed Amendments, p.19.
12 See the
Proposed Amendments, p.19: "For greater certainty, an artificial intelligence system may be a general-purpose system and a high-impact system at the same time".
13 See the section entitled
"Application", on page 19 of the Proposed Amendments.
14 See the
Proposed Amendments, pp.7-8. The Minister explains that the concept of "persons responsible" has been replaced with "distinct obligations based on each organization's role with regard to the system." 
15 See the
Proposed Amendments, p.20, Section 7(1) (persons who make a general-purpose system available in the course of cross-border trade for the first time) and page 21, sections 8(1) (persons who make a general-purpose system available) and 8.2 (persons managing the operations of a general-purpose system).
16 See the
Proposed Amendments, p.23, Sections 10(1) (persons who make a high-impact system available in the course of cross-border trade for the first time) and 10.1(1) (persons who make a high-impact system available), and page 24, section 11(1) (persons who manage operations of a high-impact system).
17 See the
Proposed Amendments, p. 22, Sections 9(1) and 9(3) (person who makes a machine learning model available for incorporation into high-impact system).
18 See
AIDA, Section 4. This remains unchanged by the Proposed Amendments
19 "High-impact system" is a concept originally introduced in
AIDA. The definition was amended by the Proposed Amendments, p.17. The schedule is available at p.38
20 See the
Proposed Amendments, p.38
21 As noted above, obligations vary depending on: (i) the type of AI system that persons are involved with; and (ii) their position along the AI value chain.
22 See the
Proposed Amendments, p.22, Sections 9(1), and 9(1)(b).
23 See the
Proposed Amendments, p.23, Sections 10(1)(b)-(c).
24 See the
Proposed Amendments, p.24, Section 11(1)(c).
25 See the
Proposed Amendments, p. 22, Section 9(1)(a).
26 See the
Proposed Amendments, p.24, Section 11(1)(e).
27 See the
Proposed Amendments, p.25, Sections 12(1)-(5)
28 See the
Proposed Amendments, p.32 ("Administration and enforcement" and "Absence, incapacity or no designation").
29 See the
Proposed Amendments, p.26, Sections 13(1) and (2).
30 See the
Proposed Amendments, p.26, Section 14(1).
31 See the
Proposed Amendments, p.26, Section 15(1).
32 See the
Proposed Amendments, p.31, paragraphs 26(1)(a)-(h).
33 The Proposed Amendments did not change the sections of AIDA related to fines. Under AIDA, certain fines were issuable for certain acts related to "regulated activities" (a defined term, see Section 30(2) of
AIDA). However, the Proposed Amendments have removed the concept of "regulated activities" (see page 10 of the Proposed Activities PDF). It appears that AIDA's provisions related to fines may need to be revised to account for the fact that the concept of "regulated activities" no longer exists.
34 See
AIDA, Sections 30(3)(a) and (b).
35 Under
AIDA, Part 2, Sections 38 and 39, general offences are committed if a person: 
(i) for the purpose of designing, developing, using or making available for use an AI system, possesses – within the meaning of subsection 4(3) of the Criminal Code – or uses personal information, knowing or believing that the information is obtained or derived, directly or indirectly, as a result of (a) the commission in Canada of an offence under an Act of Parliament or a provincial legislature; or (b) the an act or omission anywhere that, if it had occurred in Canada, would have constituted such an offence; or
(ii) (a) without lawful excuse and knowing that or being reckless as to whether the use of an AI system is likely to cause serious physical or psychological harm to an individual or substantial damage to an individual's property, makes the AI system available for use and the use causes such harm or damage; or (b) with intend to defraud the public and to cause substantial economic loss to an individual, makes an AI system available for use and its use causes that loss.
36 See
AIDA, Sections 40(a) and (b).

White & Case means the international legal practice comprising White & Case LLP, a New York State registered limited liability partnership, White & Case LLP, a limited liability partnership incorporated under English law and all other affiliated partnerships, companies and entities.

This article is prepared for the general information of interested persons. It is not, and does not attempt to be, comprehensive in nature. Due to the general nature of its content, it should not be regarded as legal advice.

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McCarthy Tétrault contributors

Charles S. Morgan

Charles S. Morgan
Partner, McCarthy Tétrault
+514 397 4230
cmorgan@mccarthy.ca

Christine Lng

Christine Ing
Partner, McCarthy Tétrault
+1 416 601 7713
christineing@mccarthy.ca

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Francis Langlois
Associate, McCarthy Tétrault
+514 397 4168
flanglois@mccarthy.ca

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