Meet Huski TM Copilot’s Trademark Gap Analysis: AI-Driven Insights to Strengthen Brand Protection
March 7, 2025 | ⌛ 4-minute read
Introducing Trademark Gap Analysis, the latest feature in Huski.ai’s Trademark Copilot. Designed for trademark attorneys, legal counsels, and marketing professionals, this AI-powered tool helps brands close gaps in trademark class and goods coverage, ensuring comprehensive brand protection. By identifying potential gaps before they become liabilities, this feature strengthens brand protection, enhances client strategy, and offers actionable marketing insights to position businesses ahead of the competition.
“AI-driven trademark portfolio gap analysis is revolutionizing how brands manage their registrations. By understanding the semantic relationships between over 60,000 dynamically changing Goods & Services subclasses, our AI pinpoints potential gaps—areas where a brand might be under-protected. Much like how Netflix recommends movies, our AI identifies top-related subclasses based on co-registration patterns and industry trends, delivering an instant, data-backed analysis. What once took teams months can now be done in minutes, empowering brands to proactively safeguard their trademarks with unprecedented efficiency.”
– Dr. Guan Wang, CTO at Huski.ai
Product History: The Evolution of Trademark Gap Analysis
Trademark Portfolio Gap Analysis was developed as a direct response to a growing demand from clients who needed deeper insights into their trademark coverage and potential oversights. They needed a tool that could precisely identify both their strengths and vulnerabilities within the broader space of law, AI, and brand strategy.
When we first envisioned this feature, our goal was simple yet impactful: to equip businesses and lawyers with the legal intelligence they need to make smarter, data-driven decisions. Today, we’re proud to introduce Trademark Portfolio Gap Analysis, a solution that provides a 360-degree assessment of your portfolio. Trademark Portfolio Gap Analysis will not only be able to detect gaps but also pave the way for strategic growth and stronger brand security.
Assessing Your Portfolio With an AI-Powered Gap Analysis
Trademark Gap Analysis provides a comprehensive, data-driven view of your trademark portfolio. It presents a clear, color-coded breakdown: red for critical gaps, yellow for new goods, green for fully covered classes, and grey for unregistered classes. This intuitive system enables quick portfolio assessment and strategic action.
Unlike traditional portfolio analysis, Trademark Gap Analysis also delivers a granular breakdown of covered goods and services, using the NICE classification system to categorize your registrations to bring to you the smallest details of your portfolio with the ability to review beyond word marks, but also design marks**.
Our AI-powered design mark analysis delivers whole-image evaluation, key region analysis, and advanced text-in-image detection. This cutting-edge approach ensures that every element of your design marks is thoroughly examined and analyzed to safeguard your trademarks and strengthen your portfolio with precision-driven insights.
Leverage AI-Driven Insights for Smarter Trademark Registration
Using advanced AI analysis, the tool ranks the top five unregistered goods and services critical to your trademark strategy, uncovering critical gaps in your trademark coverage. Additionally, it quantifies the risk reduction percentage your portfolio achieves by addressing these gaps, enabling smarter, data-driven trademark decisions.
With AI-powered analytics, Trademark Gap Analysis turns trademark protection into a proactive, data-driven strategy. It enables faster, cost-effective filings while mitigating risk. Instead of guessing vulnerabilities, you gain actionable intelligence to stay ahead of conflicts, competitors, and legal threats.
Technical Spotlight: So, How Does It Work?
Trademarks are categorized into 45 NICE classes, each containing detailed “Goods & Services” descriptions—also known as subclasses. With over 60,000 such subclasses in constant flux, managing them is a challenge. Many are duplicated, outdated, or newly emerging.
This is where our AI steps in. Our advanced AI technology is trained to:
Comprehend the semantic meanings of all subclasses and their connections to e-commerce goods and services.
Dynamically track duplications, newly emerging Goods & Services subclasses, and outdated listings.
Analyze each trademark in portfolios, examine its Goods & Services descriptions, and identify relevant subclasses.
Generate a list of “top-related” subclasses for each entry–those with strong semantic correlations or commonly co-registered by other brands.
Compile a comprehensive gap analysis by identifying areas where protection may be lacking.
The entire process functions much like how Netflix recommends movies–leveraging data-driven insights to pinpoint the most relevant associations.
For brands, understanding where their trademark registrations stand is critical. Traditional gap analysis methods are time-consuming—companies might dedicate multiple analysts for months to map out potential vulnerabilities. With AI, that process now takes just a few clicks.
This is the first solution of its kind on the market.
The Result: A 360-Degree Assessment That Empowers Action
Trademark Gap Analysis delivers a comprehensive evaluation of your trademark portfolio, equipping you with the insights needed to act with confidence.
This analysis equips you with the insights needed to act by covering both word and design marks, ensuring complete brand protection. Start using Trademark Gap Analysis to strengthen your trademark strategy.
*Questions? Contact a Huski member: Gwyneth Lewis at Gwyneth.l@huski.ai
**Design mark analysis is currently only available for USPTO registered marks.