Suzie Suliman (CA)

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How to Effectively Draft Data Processing Agreements to Protect Information Shared with Service Providers – Part 2

In our previous post, we discussed specific considerations for common boilerplate provisions in data processing agreements (DPAs). Due to the sensitivity of data transfers and privacy laws, DPAs require careful drafting to ensure the data processor complies with appropriate privacy obligations and is responsible for any non-compliance. This post takes a closer look at DPA-specific … Continue reading

How to Effectively Draft Data Processing Agreements to Protect Information Shared with Service Providers – Part 1

Modern businesses collect and process personal information about their customers and employees for the benefit of their business – these benefits include identifying opportunities to enhance their products or services, streamlining operations, reducing costs or maximizing profits. Processing such data is often outsourced to a third-party data processing service provider. For example, third parties may … Continue reading

PART II: Legislative advances in the world of artificial intelligence, Canada

On October 5, the Minister of Innovation, Science and Industry (ISED) wrote a letter to the Standing Committee on Industry and Technology proposing amendments to Artificial Intelligence and Data Act (AIDA), which was introduced as part of Bill C-27 in June 2022. Further information on AIDA can be found in our previous update. The letter … Continue reading

Advances in artificial intelligence legislation in Canada (Part I)

On September 27, the Minister of Innovation, Science and Industry released a voluntary code of conduct specific to generative AI. This GenAI code follows the proposed Artificial Intelligence and Data Act (AIDA), which was introduced as part of Bill C-27 in June 2022 but will not likely be in force until 2025. Beyond risk mitigation, … Continue reading

Deal-maker or deal-breaker: the legal ins and outs of using AI in M&A

Deals involving AI bring about specific and unique issues for consideration during the due diligence process. Understanding the specific challenges created by AI is important for companies to ensure that the AI technology holds genuine value and would not raise red flags during the course of a transaction. Some important advice for companies looking to … Continue reading

Autonomous Vehicles – Canada’s Current Legal Framework: Liability in Motor Vehicle Accidents (Part 3)

As autonomous vehicle (AV) technology continues to grow in functionality and sophistication, it is only a matter of time before AVs become commercially available across Canada. The arrival of autonomous vehicles in Canada will raise a number of liability-related questions that touch on the areas of owner liability, product liability, and auto insurance. In this … Continue reading

OSFI’s Technology and Cyber Risk Management Guideline: Part 2

In July of this year, the Office of the Superintendent of Financial Institutions (OSFI) released the final version of its Guideline B-13 (the Guideline), setting out technology and cyber risk management expectations for all federally regulated financial institutions (FRFIs), such as banks, insurance and trust companies. FRFIs will need to ensure that they have taken steps to … Continue reading

OSFI’s Technology and Cyber Risk Management Guideline: Part 1

On July 13, 2022, the Office of the Superintendent of Financial Institutions (OSFI) released its final Guideline B-13 (the Guideline), setting out technology and cyber risk management expectations for all federally regulated financial institutions (FRFIs), such as banks, insurance and trust companies. FRFIs will need ensure that they have taken steps to comply with the requirements … Continue reading

Where data meets IP – Derivative data in M&A transactions

With the growth of the high-tech industry worldwide, it is no surprise that more and more transactions involve the transfer of rights to access or control data and derivative data. In our previous update we discussed protecting business data in a commercial context. In the M&A context, this valuable information is either the driving force of … Continue reading

Where data meets IP – protecting business data in a commercial context

In our previous publication, we discussed how a business’ data can be protected by characterizing it as intellectual property and protecting it as such. One of the most common ways to protect business data in a commercial context is through license agreements that impose contractual controls on the scope of protection of such data, as … Continue reading

Where Data Meets IP

How do you balance sharing and protecting your business’ data? Unlike tangible assets, which can be protected primarily through physical means, intangible assets such as data require additional considerations. One key strategy to protect your business’ data is to characterize, and protect, that data as intellectual property. Data as IP Copyright Original compilations of data … Continue reading
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