Intellectual Property Archives

ANI Media v. OpenAI: Reconciling Copyright Protection with AI Innovation

Insights & Updates | August 25, 2026 | Practice Area: Data, Intellectual Property, Regulatory, Technology; Media and Telecommunications

This note analyzes the Delhi High Court’s decision to dismiss the interim application filed by ANI Media Private Limited against OpenAI OPCO LLC on copyright infringement arising from both the training of large language models and their output generation.

The decision carries important implications for content owners (who should consider implementing technological barriers, strengthening contractual protections and entering into licensing arrangements with AI developers), AI developers (who should ensure training practices are structured around internal use and implement safeguards against verbatim reproduction) and companies deploying third-party AI tools (who should secure appropriate vendor representations and indemnification for IP-related claims). While the decision provides an indicative framework and a level of business certainty, it was rendered at the interim stage and is unlikely to be the final word, with several important issues awaiting determination at trial.

The Impact of India’s Data-Related Laws and Policies on AI Development and Deployment

Insights & Updates | July 23, 2025 | Practice Area: Competition/Antitrust, Data, Intellectual Property, Mergers and Acquisitions, Private Equity, Regulatory, Technology; Media and Telecommunications

The rise of Artificial Intelligence (“AI”) and Machine Learning (“ML”) promises both opportunities and risks. To address such risks while leveraging the power of AI/ML for new areas of growth, stakeholders need to remain attentive to an evolving regulatory landscape. Unlike the European Union, India is yet to enact an overarching law on AI. Nevertheless, AI developers, deployers, investors, and other relevant entities in the AI supply chain must stay informed about existing and emergent regulatory initiatives across several industries, sectors, and legal regimes. Given India’s ongoing policy and legislative attempts to govern AI, especially with respect to addressing deployment-related concerns and potential harm, the outcome of such processes is likely to emerge soon, even if in fragmented fashion.
Since AI model training relies heavily on data, India’s fast-developing data protection framework warrants special attention. Balancing compliance with innovation will remain crucial for organizations as they aim to thrive under India’s regulatory ecosystem on digital data and AI.

Addressing Legal Challenges on AI Development and Use

Insights & Updates | December 23, 2024 | Practice Area: Data, Intellectual Property, Litigation and Arbitration, Regulatory, Technology; Media and Telecommunications

The recent lawsuit by Asian News International against OpenAI in the Delhi High Court mirrors global trends involving allegations that large language models (“LLMs”) are being trained on copyrighted material without authorization or licenses, leading to copyright infringement. For the purpose of balancing innovation with compliance, artificial intelligence (“AI”) developers in India must take proactive measures to navigate the complex interplay of copyright, data protection and liability issues. By securing licensing agreements, clarifying the scope of ‘fair use’ under copyright law, offering indemnities to users, and preparing for court-directed compliance actions, AI developers can mitigate risks and build legally compliant AI systems.

Investing in AI in India (Part 1): Key Considerations

Insights & Updates | July 22, 2024 | Practice Area: Data, Intellectual Property, Mergers and Acquisitions, Private Equity, Regulatory, Technology; Media and Telecommunications

While investments in the AI sector in India present significant opportunities, they also present a unique set of risks within an evolving legal and regulatory landscape.
Before making an investment decision, investors should consider IP issues, data-related rights and compliance, any industry-specific concerns, the then-applicable regulatory framework as well as potential developments in AI regulation. In addition, investors should evaluate operational and contractual arrangements, undertake a technical due diligence, and assess potential liabilities and risks. Such risks include product and professional liability, algorithmic bias and discrimination, cybersecurity and data breaches, market and reputational risks, along with concerns related to transparency and explainability.

AI-Generated Inventions: New Questions for Patent Regimes

Insights & Updates | May 29, 2024 | Practice Area: Intellectual Property, Technology; Media and Telecommunications

Since patent regimes around the world are primarily designed to reward “human” innovation, such norms may need to be revisited for the purpose of protecting inventions that are generated by artificial intelligence (“AI”).
In most jurisdictions, existing patent laws contemplate an “inventor” to (only) mean a natural person. Further, recent authoritative interpretations have been reluctant to extend the concept of inventorship to AI systems.
However, with the growing use of AI, modern technology has arrived at an inflection point where an AI algorithm can play a determinative role in the inventive process. Accordingly, the question of granting patents to AI-generated inventions has assumed additional importance, including in terms of incentivizing innovation and investments into future AI models.
Subject to new developments and priorities, legislators may want to consider options such as amending extant patent regimes, introducing a bespoke framework especially for AI-generated inventions, allowing human beings to be named as inventors to the extent of their involvement in the use or development of the AI system concerned, or even doing away with the requirement of naming an inventor for AI-generated inventions.