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Department of Intellectual Property Moves Toward AI-Enabled Examination and OECD-Aligned Governance Standards

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Department of Intellectual Property Moves Toward AI-Enabled Examination and OECD-Aligned Governance Standards

Recent developments signal a significant shift in the modernization of intellectual property administration, with authorities introducing artificial intelligence (AI) – assisted examination tools, enhanced anti-corruption mechanisms, and governance reforms designed to improve transparency and efficiency. These initiatives reflect broader efforts to strengthen institutional integrity and align administrative practices with international standards associated with the Organization for Economic Co-operation and Development (OECD).

The measures are particularly relevant for businesses, innovators, and intellectual property rights holders, as they may influence the way trademark and patent applications are processed, how enforcement priorities evolve, and how emerging legal questions surrounding AI and intellectual property are addressed.

Governance and transparency reforms:

Transparency and accountability have become increasingly important considerations in public administration, particularly in areas where significant economic interests are involved. Intellectual property registration systems are especially vulnerable to concerns regarding administrative discretion because examination outcomes can have substantial commercial consequences.

To address these concerns, new initiatives have been introduced to strengthen anti-corruption safeguards and improve stakeholder confidence in the intellectual property system. These include increased engagement with private-sector stakeholders and the development of a dedicated Sandbox mechanism intended to serve as a centralized platform for receiving and monitoring complaints relating to alleged misconduct or corruption in administrative processes.

The proposed Sandbox framework appears intended not only to facilitate reporting but also to improve transparency in complaint handling and case monitoring. If implemented effectively, such a mechanism could provide greater visibility into administrative processes while helping identify systemic risks that may affect applicants and rights holders.

The reforms are consistent with international trends emphasizing integrity, accountability, and transparency within public institutions. They also reflect increasing recognition that the effectiveness of an intellectual property system depends not only on substantive legal protections but also on the credibility and predictability of administrative decision-making.

Expanding the use of AI in trademark examination:

One of the most notable developments is the growing use of AI technologies to support trademark examination functions. Authorities have introduced AI-powered image search capabilities that allow preliminary identification of potentially similar or conflicting trademarks before applications are filed.

For applicants, such tools may reduce the risk of filing marks that are likely to face objections based on similarity to existing registrations. Early identification of potential conflicts can help businesses refine branding strategies, reduce unnecessary filing costs, and improve the overall quality of applications submitted for examination.

From a regulatory perspective, AI-assisted searching may also contribute to greater consistency in examination outcomes. Similarity assessments often involve complex factual evaluations, and AI tools may help examiners identify relevant precedents and potentially conflicting marks more efficiently.

Nevertheless, AI-assisted examination does not alter the legal standards governing trademark registration. Questions concerning distinctiveness, likelihood of confusion, descriptiveness, and other statutory requirements remain subject to legal analysis and human review.

AI-assisted patent examination and prior-art searches:

Authorities have also expanded the use of AI technologies in patent examination processes. AI systems are being used to assist with prior-art searches and preliminary analysis of information obtained from international patent databases. These tools can support examiners in evaluating novelty and other patentability requirements by identifying potentially relevant references more efficiently than traditional search methods.

The introduction of AI-assisted patent examination reflects a broader global trend. Patent offices worldwide are increasingly exploring the use of machine learning and data analytics to manage growing application volumes, improve search capabilities, and reduce examination backlogs.

For applicants, improved search efficiency may ultimately contribute to more predictable examination outcomes and potentially shorter processing times. However, the quality of applications remains a critical factor. Authorities have identified deficiencies in patent drafting and claim preparation as continuing challenges, particularly among first-time applicants and smaller enterprises. Poorly drafted applications often require multiple rounds of amendment, increasing both costs and examination timelines.

As a result, businesses seeking patent protection should continue to prioritize high-quality patent drafting and strategic portfolio management despite the increasing availability of AI-assisted examination tools.

Reducing administrative discretion through digitalization:

The modernization effort extends beyond AI. Authorities have continued expanding digital service platforms, including electronic filing systems, online consultations, and electronic payment mechanisms. These initiatives are intended to reduce face-to-face interactions between applicants and officials while improving traceability throughout the application process.

Reducing direct interactions may help mitigate corruption risks and strengthen public confidence in administrative processes. Digital records also create auditable trails that can assist in internal oversight and compliance monitoring.

The increasing integration of digital technologies into intellectual property administration is consistent with broader government efforts to improve service delivery and enhance regulatory efficiency through digital transformation.

AI and copyright: maintaining a cautious approach

The relationship between AI and copyright remains one of the most closely watched issues in intellectual property law globally. While several jurisdictions are considering or implementing exceptions that permit text and data mining for AI training purposes, authorities have signaled a cautious approach that prioritizes the interests of creators and copyright owners.

Current copyright protection remains focused on works created by human authors. Authorities have also emphasized that the use of copyrighted materials for AI training should be subject to appropriate authorization and should strike a balance between technological innovation and the protection of creative industries.

Notably, there are currently no plans to introduce broad copyright exceptions specifically designed to facilitate AI training. This position contrasts with approaches under consideration in some other jurisdictions and suggests that rights holders may continue to enjoy relatively strong protections against unauthorized use of copyrighted materials in AI development.

For technology companies, AI developers, and businesses deploying generative AI systems, this means that copyright clearance strategies and licensing arrangements may remain important risk-management tools.

Growing enforcement challenges in the digital environment:

The rapid growth of online commerce has transformed the intellectual property enforcement landscape. Although overall infringement cases have reportedly declined, online infringement cases have increased dramatically, with authorities reporting a 286 percent increase in online-related violations.

This trend reflects the migration of counterfeit and infringing activities from physical marketplaces to digital platforms. In response, authorities have expanded cooperation with law enforcement agencies and major e-commerce platforms to facilitate enforcement actions against large-scale online infringers and improve mechanisms for removing infringing content and products.

Businesses should expect online enforcement to remain a significant regulatory priority. Rights holders may benefit from enhanced cooperation between government agencies and digital platforms, but they should also continue implementing proactive monitoring and enforcement strategies to identify and address online infringements promptly.

Looking ahead:

The combination of AI-assisted examination, digital transformation, governance reforms, and increased attention to online enforcement suggests that intellectual property administration is entering a new phase of modernization. While many of the announced initiatives remain at an early stage, they indicate a clear policy direction toward greater efficiency, transparency, and technological integration.

For businesses and rights holders, these developments may create opportunities for more predictable and streamlined administrative processes. At the same time, evolving approaches to AI, copyright, and digital enforcement will require continued monitoring as policymakers seek to balance innovation, economic competitiveness, and intellectual property protection.

Key Takeaways:

Author: Panisa Suwanmatajarn, Managing Partner.

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