Publication
Cannabis’ legalization and what it means for regulatory regimes worldwide
Cannabis has been considered an illegal substance globally since the creation of the Single Convention on Narcotic Drugs (The Convention) in 1961.
Cannabis
Global | Publication | October 2020
Our global Food and Agribusiness team has a deep understanding of the existing and emerging issues surrounding the global cannabis industry. Cannabis is a sector in a state of rapid transition globally, as numerous countries and states have legalized its use for either recreational or medicinal purposes in recent years. This creates a myriad of opportunities and challenges for companies considering investment in the sector, particularly in relation to investments across multiple jurisdictions. Find out what’s new in this developing industry sector.
Thought leadership
Publication
Cashing out: What private producers and retailers should know and do when they receive an offer or find a buyer
The maturation of the cannabis sector is presenting an array of opportunities to private producers and retailers.
Publication
Canadian cannabis companies come under fire
In the 12 months leading to legalization in October 2018, Canadian public companies already in the medical cannabis space experienced “jaw-dropping growth” in their market capitalizations, notwithstanding that many reported negative earnings.
Publication
Agri-tech developments in the cannabis sector
The cannabis sector is a growing and exciting sector.
Senior Advisor
Email
keira.brennan@nortonrosefulbright.com
Head of Amsterdam
Email
saskia.blokland@nortonrosefulbright.com
Partner, Norton Rose Fulbright US Consultores em Direito Estrangeiro
Email
charles.johnson@nortonrosefulbright.com
Director: Global Head of Consumer Markets
Email
rosalind.lake@nortonrosefulbright.com
Recent publications
Publication
Two US decisions find that reproducing works to train large language models is fair use – Part 3: Comparing the Anthropic and Meta decisions
In Part 1 and Part 2 of this series, we discussed two recent US decisions (Anthropic and Meta), which found that the unauthorized use of copyright-protected books to train large language models (LLMs) was fair use.
Publication
Two US decisions find that reproducing works to train large language models is fair use – Part 2: Kadrey v Meta
In Part 1 of this series on fair use in training large language models (LLMs), we discussed Judge Alsup’s decision of Bartz v Anthropic, which found that copying books to train an LLM was fair use, but using pirated books to create a central library was not.
Publication
The AMF proposes a framework for using AI in financial services: obligations for financial institutions
According to a joint report by the Office of the Superintendent of Financial Institutions and the Financial Consumer Agency of Canada, some 70% of federal financial institutions expect to be using AI by 2026.
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