Music liability insurance is only underwritten by a small number of markets, very few of whom can match Beazley’s experience and expertise.
From songwriters to record labels, Beazley understands the risks associated with doing business in this industry.
Coverage highlights:
- Unintentional breach of contract while composing or supplying music for an ad campaign
- Breach of scope of a music license
- Breach of written hold harmless or indemnity agreement when supplying music
- Breach of an NDA (non-disclosure agreement)
Optional covers:
The Beazley Music Liability product offers seamless cover for a variety of risk categories, including:
Subject to Canadian law.
Freedom lies in being bold. We dare to be different and seek bold possibilities to create more innovative, fair and satisfying outcomes for our clients, brokers and employees. From insuring the highest building in thea world, to the first commercial lunar vehicle to operate on the moon - we boldly go where others won’t.
Good is a start, but we go all-out for better. A driven community of individuals relentlessly push the needle and creating value. From launching the market’s first dedicated ESG syndicate to the establishment of our business unit focusing on designing digital insurance solutions, we pride ourselves on always going above and beyond. Simply put, at Beazley we go to 11.
Acting with integrity in a straightforward, decent way is instinctive. Open and honest with others, we show respect and empathy however challenging the situation – demonstrated by our multi-award winning claims team. Doing the right thing makes for a fair-minded, rewarding environment and makes work and life better for all.
Montreal, Canada
+1 (514) 350 0172
Email Veronique
Toronto, Canada
+1 (416) 777 7935
Email NadiaArtificial Intelligence (AI) and Large Language Models have now evolved to a point where it is difficult to distinguish their output from works created by humans. An author’s style and output can now be impersonated with increasing accuracy in seconds.
Many generative-AI platforms are trained on insights from a range of data sources including pre-published information on the internet and beyond. By their nature, they are creating content, advice, and material that is likely to be generated from multiple sources.
Social media platforms like X (formerly known as Twitter), Instagram, TikTok, and YouTube have provided individuals with a publishing reach far beyond that of traditional media.
In our increasingly online world, the ease with which anyone, regardless of expertise, can publish articles, podcasts and videos, creates new risks for content creators and publishers, particularly the risk of being held liable for another’s reliance on their content, potentially regardless of whether they intended for their audience to rely on it.
