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Trademark clearance is essential before launching a brand, product, or service. Nowadays, it requires considerable time and effort, involving a combination of available tools and manual work.
tmLIFT is an innovative AI-powered assistant to trademark professionals designed to help them navigate searches and make accurate legal assessments, drastically cutting time and costs. tmLIFT can also benefit other use cases such as conflict matters, watching, renewals, or competition BI.
Clear a Trademark With Less Time and More Accuracy Than Today!
Are You Interested In Finding Out:
Is the Proposed Name Suitable To Be a Trademark?
- ABSOLUTE GROUNDS CHECK
- Based on AI-driven analysis of the European trademark legislation and case law, including more than 100,000 office actions, decisions of EUIPO, the Boards of Appeal, and CJEU, tmLIFT predicts whether a mark is likely to be refused for registration due to absolute grounds and provides detailed reasoning and arguments for the prediction.
What are the chances in winning the opposition?
- RELATIVE GROUNDS CHECK
- Based on AI-driven analysis of the European trademark legislation and case law, including more than 100,000 oppositions, decisions of EUIPO, the Boards of Appeal, and CJEU, tmLIFT predicts whether the owner of the prior mark selected in the report is likely to succeed in the opposition based on the grounds of likelihood of confusion.
- In addition, if you simply want to know if the prior similar mark is registered for the goods and/or services similar to those of interest, you can get a color-coded table with all goods/services categorized according to the level of similarity (applying EUIPO case law and Cannon principles).
Is the Prior Similar Mark Used For the Goods/Services Of Interest?
- IN USE CHECK
- tmLIFT investigates the use of a particular trademark on a specific territory, anywhere in the world, providing a comprehensive report on the mark's in-use status. The tool searches for online presence and usage of the mark, provides screenshots and highlighted search term snippets, and offers a scoring system to indicate the confidence level of the link/use.
ONE STEP AHEAD
Embrace the Better Way to Clear Trademarks
Built by Trademark Professionals for Trademark Professionals
TmLIFT was devised by experienced trademark professionals working in a law firm who collectively handled thousands of searches, spending tens of thousands of hours searching.
That experience has given them the idea of changing the paradigm and simplifying the clearance process, achieving even more precise results.
Trusted by Trademark Professionals
All tools are available on a single platform that employs industry-standard protection. All customer data are protected and visible only to that very same customer.
TmLIFT alleviates the burden of manual review of trademark hit lists, in-use checks, and legal research.
The measured efficiency level shows that by using tmLIFT, time spent on the trademark search process can be reduced by up to 70%.
Meet the Team
Milan Milojević
Special Consultant & Co-founder
Željko Sredojević
CEO
Jelena Jovanović
Product Owner
Tatjana Stanojević
Business Application Consultant
Igor Jovanović
Senior Developer
Aleksandar Milić
Senior Developer
Aleksandar Milovanović
DevOps
Andrija Petrović
Machine Learning Scientist
Sandro Radovanović
Machine Learning Scientist
FAQs
Trademark clearance is the process of researching and evaluating whether a proposed trademark is available for use and registration and whether it might infringe on existing trademarks. Clearance includes searches of trademark databases and common law sources (e.g., websites, social media, business names, publications) and legal analysis of search results.
tmLIFT’s AI core framework is built on a multi-agent architecture, utilizing LLM OpenAI, Sonet, LlAma, and Qwen. The framework also includes goal-oriented models, segmentations, and small models such as Bert, Law Bert, Leral Bert, Gist, and visual models. The data is refined and collected from many sources, prepared for AI processing, and trained in all European languages.
tmLIFT’s AI-driven tools ensure accurate predictions and analysis using all available European trademark legislation and case law, including more than 100,000 decisions of EUIPO, the Boards of Appeal, and CJEU. The system considers the instance and the time of the decisions.
tmLIFT currently supports European trademark legislation and case law of EUIPO, the Boards of Appeal, and CJEU, leading authorities on trademark matters in Europe. In-Use Search is available worldwide.
The tools can be used by in-house and attorneys and paralegals engaged in trademark clearance and other types of trademark-related work.
No, but it significantly enhances their efficiency and decision-making.
client reviews
Leading Global Trademark Professionals Use tmLIFT
We are happy to be early adopters of tmLIFT. It saves an enormous amount of time when clearing names for pharmaceutical products.
In-House Attorney At a Leading Global Pharma Company
The in-use tool is so essential for TM professionals in a law firm. It is unbelievable that no one has come up with this before.
Attorney At a Leading Italian Law Firm
LET’S WORK TOGETHER
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Milan Milojević
Special Consultant & Co-founder
Milan Milojevic, founder and managing partner of MSA IP, brings 25 years of expertise in intellectual property protection across South-Eastern, Eastern Europe, and globally. Managing cases for leading FMCG, pharma, and apparel firms, he delivers innovative solutions. His trademark insight and specialist collaboration drive a cutting-edge product blending legal expertise with technology.
Željko Sredojević
CEO
Software Product Manager, excels in full-stack web development, mastering front-end and back-end technologies. With deep software expertise, he has led diverse business applications, including AI-powered solutions. Bridging technical and non-technical stakeholders, Zeljko integrates complex systems into workflows, driving innovation through collaborative, user-focused product development.
Andrija Petrović
Machine Learning Scientist
Senior Machine Learning Scientist with extensive experience in both industry and research. He holds two PhDs, one in Process Engineering and the other in Machine Learning, demonstrating his strong interdisciplinary background. He has worked with a wide range of machine learning models and has applied them to various real-world problems. With his deep understanding of both industry practice and research, he is well equipped to develop innovative solutions to complex problems.