China’s Supreme People’s Court announced on April 20 that it is actively drafting guidelines for the adjudication of disputes involving artificial intelligence, a development that signals the Chinese legal system is moving to formalize its approach to AI-related litigation at the highest judicial level. The announcement came alongside the release of the court’s annual intellectual property judicial protection report, which revealed that Chinese courts concluded 908 cases related to data ownership and transactions in 2025, a 25.6 percent increase year-over-year, and accepted 552,600 new intellectual property cases in total, concluding 539,600, according to Xinhua’s reporting via KuCoin.
What the Supreme Court Is Drafting
The guidelines under development are intended to provide courts across China with a consistent framework for handling disputes that involve AI-generated content, AI model parameters, data ownership, and related issues. The Supreme People’s Court stated that its goal is to “promote the healthy and orderly development of AI in a beneficial, secure, and fair direction”, language that reflects the Chinese government’s dual emphasis on accelerating AI adoption while managing its social and legal risks.
The drafting of these guidelines is significant because it represents a move from ad hoc judicial decision-making to systematic legal framework development. Chinese courts have been handling AI-related cases for several years, but without consistent guidelines, rulings have varied across jurisdictions and case types. The Supreme Court’s intervention will establish precedents that shape how AI disputes are resolved across the entire Chinese legal system.
The guidelines are expected to address several specific areas: the ownership of AI-generated content (who owns a work created by an AI model?), the legal status of AI model parameters (are they protectable intellectual property?), liability for AI-generated misinformation or harmful content, and the admissibility of AI-generated evidence in legal proceedings. Each of these areas has generated significant litigation in China and internationally, and the lack of clear legal standards has created uncertainty for companies developing and deploying AI systems.
The 2025 Data Ownership Litigation Surge
The 25.6 percent increase in data ownership and transaction cases in 2025 reflects the growing commercial importance of data as an asset and the disputes that arise when data rights are contested. As AI models have become more valuable, the data used to train them has become a source of significant legal conflict. Companies have sued each other over unauthorized data scraping, data licensing disputes, and the use of proprietary data in AI training without consent.
The 908 cases concluded in 2025 represent a significant caseload for a relatively new area of law. Chinese courts have been rapidly developing expertise in data law, and the Supreme Court’s guidelines will build on the jurisprudence that has emerged from these cases. The 34.1 percent year-over-year increase in foreign-related intellectual property cases, reaching 11,066 new first-instance cases in 2025, reflects the international dimension of these disputes, as foreign companies increasingly bring IP claims in Chinese courts and Chinese companies defend against foreign IP assertions.
The State Council’s AI-in-Grid Directive
On the same day as the Supreme Court announcement, the State Council held its 19th special study session, focused on energy security and green transition. Premier Li Qiang’s remarks included a directive to leverage artificial intelligence to drive the “digital and intelligent transformation of the grid”, framing AI as a tool to make China’s power infrastructure more efficient, resilient, and capable of managing the complexity of integrating large volumes of renewable energy.
This directive connects AI development to one of China’s most pressing infrastructure challenges: transitioning to a power grid capable of accommodating the intermittent output of wind and solar generation at scale. AI-powered grid management systems can optimize generation dispatch, predict demand fluctuations, and maintain grid stability as variable renewable sources become increasingly prevalent. The State Council’s endorsement of AI for grid transformation signals that AI infrastructure investment will continue to receive government support even as the focus of AI policy shifts toward regulation and governance.
China’s Emerging AI Legal Architecture
The Supreme Court’s drafting initiative is one piece of a broader AI legal architecture that China has been assembling since 2022. The Cyberspace Administration of China has implemented rules on algorithmic recommendation systems, deep synthesis (deepfakes), and generative AI services. The National Information Security Standardization Technical Committee has been developing technical standards for AI safety. And now the Supreme Court is working on the judicial framework that will govern how disputes in this space are resolved.
This layered approach, combining administrative regulation, technical standards, and judicial guidelines, is consistent with China’s general approach to technology governance. It reflects a recognition that AI raises legal and social questions that cannot be addressed by any single regulatory instrument and that effective governance requires coordination across multiple institutions.
For companies operating in China’s AI market, the development of clear judicial guidelines is broadly positive. Legal uncertainty is a high cost for AI companies, particularly in areas such as content generation, data licensing, and AI model development, where IP rights are contested. Clear guidelines reduce that uncertainty and make it easier to structure commercial relationships on a sound legal basis. The Supreme Court’s initiative is, in this sense, as much a pro-AI development measure as it is a regulatory one.