AI And Trademarks The Future of Brand Protection in India’s Evolving Digital Economy
AI tools/platforms can continuously monitor trademark journals and e-commerce listings, which previously required manual review
I. Introduction
India’s rise to become a major player in Intellectual Property around the world is no longer just a guess, it is a fact. According to World Intellectual Property Organization1’s (WIPO) IP Facts and Figures 2025, India was the fourth largest country in the world to file trademarks, with 532,900 class counts and a 7.4% increase from the previous year.2 In India, FY 2024-25 set an unparalleled record with 5,52,190 trademark applications being filed. Moreover, India witnessed a 44% increase in IP filings over the past five years.3 India now ranks as having the second-most active trademark registrations in the world.4
The sheer scale of today’s digital marketplace exposes the limits of a legal system designed years ago for a brick and mortar economy. A Surat textile brand competes with fast-fashion sites on Instagram, and a Hyderabad biotech startup has to protect a drug name in several countries within weeks of launching. Trademarks are no longer just legal names, in fact, they are now an important part of a brand’s digital identity. AI is quietly but fundamentally changing how those assets are created, searched, monitored, and enforced.
II. AI-Powered Trademark Creation
Generative AI has made the process of transforming a business idea into a brand identity considerably easier. Namelix, Looka, and Designs.ai are some of the tools that let a founder enter in a short prompt and get a list of names, taglines, and logos in seconds. This is a real step toward democracy for India’s rapidly growing small and medium-sized business sector. Branding timelines go from weeks to hours, and costs go from millions to a small fraction of that.
There are immediate implications on trademark law. Section 9 of the Trade Marks Act, 1999, says that a mark must be unique in order to be protected.5 AI-produced outputs, while visually sophisticated, usually lack actual originality, they reassemble patterns from existing datasets rather than introducing unique notions. Current Indian law does not acknowledge AI as a legal author,6 therefore innovators are increasingly documenting their prompts and editing decisions as evidence of human creative direction, a process Courts may soon explicitly consider.
III. Revolutionising Search and Registration
Trademark search and registration stage is where AI’s operational impact is most readily apparent. In September 2024, Union Minister Shri Piyush Goyal7 presented India’s AI/ML-based Trademark Search Technology and the IP Saarthi Chatbot- bringing India with Australia, the European Union (EU), and Norway as jurisdictions with institutionally deployed AI search capabilities.8 The said technology supports phonetic, visual, and semantic analysis across all 45 Nice Classification classes, with ambitions to expand to official Indian languages.9
Pre-filing clearance search is further supported by third-party AI-powered platforms, which lower opposition filings and legal expenses. Additionally, predictive analytics systems that predict rejections by cross-referencing precedent databases offer a significant reduction in litigation risk for Small and Medium-sized Enterprises (SMEs), which make up the majority of India’s yearly filers.10 Seamless international filing via API-linked Madrid Protocol integration, which is currently undergoing pilot, is the next frontier.
IV. AI in Trademark Monitoring and Enforcement
Business does not stop once the trademark has been adopted/registered. Control of a business’s statutory rights is crucial so that the brand’s rights and the owner’s rights are protected. In this respect, AI has not only taken hold of trademark searches and registration but has also become a trademark monitoring body at work. AI tools/platforms can continuously monitor trademark journals and e-commerce listings, which previously required manual review. With that, e-commerce platforms in India have led to increasing vigilance and enforcement (both digital and offline) on trademark, including regional and global companies like Amazon and Flipkart, Meesho and others.
And with the use of automated detection tools, as well as takedown methods more quickly, infringement problems can now be solved, much faster, within days of detection. Fashion companies use these methods to detect massive logo counterfeiting and pharmaceutical companies use them on the misleading drugs ads. Hindi scripts and regional dialects are being handled by specific tools in India for greater enforcement in Tier-2 & Tier-3 markets and as brand dilution is becoming more common.
V. AI-Driven Litigation and Dispute Resolution
With thousands of oppositions waiting before the Trade Marks Registry, India’s trademark dispute ecosystem is under intense structural pressure. By analyzing decades of trademark precedent to predict case outcomes, predictive litigation tools, allow practitioners to advise clients on the business viability of pursuing or resolving disputes before incurring significant expenditures.
In fresh territories, Courts in India have started dealing with AI-driven legal challenges, establishing new jurisprudence. On Trade Mark Registry front in India, the same is under intense structural pressure. The trademark opposition disputes, currently place a disproportionate administrative burden on the Registry, which could be expedited with the help of AI-driven tools. Furthermore, India could take reference from Singapore International Arbitration Centre (SIAC) which deploys AI tools for extensive document review, case management, and procedural efficiency. This model could be used by India’s Arbitration Act framework to gradually implement machine assisted trademark dispute resolution mechanisms.
VI. Challenges in Protecting AI-Generated Trademarks
Three problems are especially critical. First, ownership and authorship ambiguity: whether rights belong to the user, the developer, or the underlying model is still up for debate because the Trade Marks Act, 1999, does not consider non-human authorship.11 Businesses that rely on AI-generated brand identities face significant uncertainty as Indian courts have emphasized that protection requires verifiable human competence and judgment.12.
Second, originality risk: AI systems optimize for visual appeal but rely on pre-existing datasets, which means that outputs often match previous marks and result in Section 11 refusals.13 This is a legal risk that many SMEs might not be aware of. Third, compliance costs: sophisticated monitoring tools carry substantial subscription cost, which is a real barrier to entry, and AI-driven platforms put significant brand data under the purview of the Digital Personal Data Protection Act, 2023.14
Notwithstanding these difficulties, hybrid workflows, in which human designers refine AI-generated outputs are yielding quantifiably more robust trademark applications. By removing Western aesthetic bias, locally trained datasets that incorporate Indian visual languages like Madhubani patterns and Devanagari fonts could provide Indian brands with a really unique competitive edge.
VII. India’s Path Forward: Policy, Reform, and Global Leadership
Targeted action is required in three areas. An AI Evidence Guidelines framework would allow courts to assess algorithmic evidence using uniform criteria, and Section 2 of the Trade Marks Act, 1999, should be updated to recognize “AI-assisted authorship” as a distinct category. The IP Saarthi ecosystem should be institutionally expanded by DPIIT into a full SME assistance program with multilingual interfaces in all 22 scheduled languages and subsidized tools. India is well-positioned to transfer AI-driven IP enforcement frameworks to ASEAN and Global South economies because of its combination of legal infrastructure, market size, and AI competence.
Future brands must have a legal ecosystem for them, that keeps up with the speed of global internet trade
VIII. Conclusion
India is indeed at a turning point. The conditions for revolutionary transformation have been established by record filings, an AI search system in place, and a business community with advanced digital skills. What lies ahead is the more difficult work, which is judicial competence to rigorously analyse algorithmic evidence to produce algorithmic evidence, an increase in investment in institutions that democratise access, and legislative reform that aligns well with technological change too. Future brands must have a legal ecosystem for them, that keeps up with the speed of global internet trade. Developing a strategy and system that enables AI is both India’s challenge and opportunity. The groundwork’s laid. Whether India should take the lead in this direction is the question.
Disclaimer – The views expressed in this article are the personal views of the authors and are purely informative in nature.
1. WIPO is the United Nations agency that serves the world’s innovators and creators, ensuring that their ideas travel safely to the market and improve lives everywhere. The organization provides services that enable creators, innovators and entrepreneurs to protect and promote their Intellectual Property (IP) across borders and acting as a forum for addressing cutting-edge IP issues.
2. WIPO IP Facts and Figures 2025
3. https://www.pib.gov.in/PressReleasePage.aspx?PRID=2146928®=3&lang=2
4. Office of the Controller General of Patents, Designs & Trade Marks, Annual Report 2024-25
5. Trade Marks Act, 1999, Section 9: Absolute grounds for refusal of registration.
6. The Copyright Act, 1957, as amended, does not confer authorship on AI systems. See also the Report of the Parliamentary Standing Committee on Commerce on IPR (2021).
7. 13th Minister of Commerce and Industry since 2019.
8. Press Information Bureau, Government of India, ‘Minister Piyush Goyal launches AI/ML-based Trademark Search and IP Saarthi Chatbot’, 18 September 2024
9. Department for Promotion of Industry and Internal Trade (DPIIT), IP Office Modernisation Programme, 2024.
10. Office of the Controller General of Patents, Designs & Trade Marks, Annual Report 2024–25
11. Office of the Controller General of Patents, Designs & Trade Marks, Annual Report 2024–25
12. Hon’ble Bombay High Court’s observations in Pidilite Industries Ltd. v. S.M. Associates 2003 SCC OnLine Bom 143, emphasising the requirement of human creative skill in trademark design.
13. Trade Marks Act, 1999, Section 11, Relative grounds for refusal of registration
14. Digital Personal Data Protection Act, 2023. See also MEITY Draft Rules on Data Fiduciaries, 2025.