JOURNAL ARTICLE
'It's Me, Hi, I'm The Problem, It's Me': Re-recording as an alternative to statutory copyright reversion.
Published In: Journal of Intellectual Property Law & Practice, 2024, v. 19, n. 12. P. 884 1 of 3
Database: Legal Source 2 of 3
Authored By: Yuvaraj, Joshua 3 of 3
Abstract
This article analyzes the practice of re-recording music as a strategy for artists to regain control and financial benefit from their work, using Taylor Swift's high-profile re-recordings as a central example. It contrasts re-recording with statutory reversion mechanisms—particularly the U.S. Copyright Act's termination rights under sections 203 and 304—which allow creators to reclaim copyright after about 35 years but face significant procedural, temporal, and legal challenges, including uncertainty over whether sound recordings are covered. The article explains that re-recording offers a more immediate and legally clearer alternative, provided artists comply with contractual waiting periods and hold or license the underlying musical composition rights, though it carries risks such as market competition with original recordings and increasing contractual restrictions by record companies. It also discusses potential legal avenues, like common law restraint of trade and unfair contract terms legislation, that might limit excessively long re-recording restrictions, but notes these remain largely untested in courts across the U.S., UK, Australia, Canada, and New Zealand. Overall, while re-recording has proven lucrative for superstars like Swift, most artists face uncertain legal and commercial landscapes in pursuing this path.
Additional Information
- Source:Journal of Intellectual Property Law & Practice. 2024/12, Vol. 19, Issue 12, p884
- Document Type:Article
- Subject Area:History
- Publication Date:2024
- ISSN:17471532
- DOI:10.1093/jiplp/jpae091
- Accession Number:181970490
- Copyright Statement:Copyright of Journal of Intellectual Property Law & Practice is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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