JOURNAL ARTICLE

The treatment of electronic games copyright protection in Brazil: analysis of copyright law and software law application.

  • Published In: Journal of Intellectual Property Law & Practice, 2024, v. 19, n. 1. P. 32 1 of 3

  • Database: Legal Source 2 of 3

  • Authored By: Cruz, Douglas Aleixo Santos da; Junior, Jucimar Maia da Silva; Freitas, Silvia Regina Sampaio; Oliveira, Raimundo Correa de; Barboza, Ricardo da Silva 3 of 3

Abstract

The article focuses on the legal classification and intellectual property (IP) protection of electronic games in Brazil, a rapidly growing market and the fifth largest globally by number of players. It highlights the ongoing debate over whether electronic games should be legally treated as audiovisual works, computer programs, or a hybrid of both, noting that Brazilian law currently applies multiple IP regimes—Copyright Law (Law No. 9.610/98), Software Law (Law No. 9.609/98), and Industrial Property Law (Law No. 9.279/96)—to different elements of games such as source code, audiovisual content, trademarks, and patents. The article explains that under Brazilian law, copyright ownership of software developed under employment typically vests with the employer, limiting programmers’ moral and economic rights, and that the fragmented registration system for game components complicates legal protection. It concludes by proposing a unified legal framework recognizing electronic games as functional software with integrated audiovisual elements to enhance IP protection and support the domestic gaming industry's growth.

Additional Information

  • Source:Journal of Intellectual Property Law & Practice. 2024/01, Vol. 19, Issue 1, p32
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2024
  • ISSN:17471532
  • DOI:10.1093/jiplp/jpad101
  • Accession Number:175621426
  • 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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