China: Trademark

9月9日、最高人民法院は、模倣による混同、営業秘密の侵害、信用毀損、虚偽・誇大な宣伝、インターネット上の不正競争行為の認定や、反不正競争法の一般条項の適用などに関する重要な法律問題を扱った典型事例9件を公表した。

数据载体型知识产权是指以数据作为信息载体以体现出来的知识产权。常见的包括两类：一是用数据记载的知识产权，二是以数据本身作为知识产权。由于数据载体型知产不稳定，其面临着更为严重的证据排除问题。根据案件类型化实证分析，数据载体型知产的证据排除主要原因是证明力缺

China's trademark opposition procedure offers a strategic opportunity to challenge potentially conflicting trademark registrations during the three-month publication period, before they are formally approved. This procedural mechanism enables prior rights holders and interested parties to resolve disputes at the registration stage, significantly reducing the time and costs associated with post-registration invalidation proceedings or infringement litigation.

中国で人工知能（AI）の「幻覚」を意図的に誘導して虚偽の証拠を作成し、商標権侵害訴訟を起こしたとして、企業に10万元の司法制裁が科された。AIを悪用した証拠捏造に対する司法判断として全国初の事例とされる。（1元は約23.5円）

Understanding the critical importance of trademark maintenance in China, this article examines the legal requirements and procedural steps for updating trademark registrations when business circumstances change. It details the specific documentation needed for various types of trademark modifications and highlights the potential consequences of failing to maintain accurate trademark records.

AFD China's August 2026 newsletter covers China's updated patent priority examination measures, enhanced copyright protection for digital content, IP development goals through 2030, and five landmark cases on malicious intellectual property litigation released by the Supreme People's Procuratorate.

中国の最高人民検察院が全国10か所に知的財産事件専門の検察拠点を設置し、技術革新に伴う複雑化する知財事件への対応能力を強化する。各ৣ

Premium industrial manufacturers, particularly Germany’s Mittelstand, face escalating pressure from low-cost competitors. China’s state-backed “Little Giants” (专精特新 “Little Giants”) are rapidly migrating up the value chain...

China's National Intellectual Property Administration has announced comprehensive reforms to its patent and trademark examination system during the 15th Five-Year Plan period. The reforms will introduce demand-responsive examination mechanisms combining priority, expedited, and delayed review processes, while strengthening substantive examination standards and leveraging AI technologies including multimodal large-scale models to enhance examination efficiency and quality.