IP-RoBo List of Products and Services

Following the previous section on "1. Issues with Existing Databases," this time we will provide a detailed overview of the "Trademark Search" functionality. In our trademark search, we conduct similarity searches between the trademarks being investigated and the applied or registered trademarks through the following steps. In the "Trademark Search," AI provides powerful support across multiple stages, conducting detailed analyses and quantifying the results. As a result, investigators can simply input the "investigated trademark and designated goods/services" and, by clicking according to the AI's instructions, reach the final results. *For detailed content of the column, please refer to the related links. For more information, feel free to contact us.

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In the following series of articles, we will provide a detailed introduction to the "Trademark Search," which is the greatest feature of TM-RoBo. Our "Trademark Search" allows you to simply input a trademark as it is written, including kanji and alphabetic characters, to search for the existence of similar pending or registered trademarks. This time, we will discuss the background of how our "Trademark Search" was developed by considering the challenges faced by existing services of trademark databases used for investigating word trademarks. *For more details on the column, please refer to the related links. Feel free to contact us for further information.

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We are currently in the midst of the third AI boom, but there was a previous AI boom around 1990 that coincided with the bubble economy. During my university (graduate school) days, I belonged to a research lab that was famous for AI research at the time. While rule-based expert systems were mainstream, I was attracted to the high versatility and technical challenges of machine learning, which was not as mainstream at that time. Specifically, I researched how to efficiently acquire attributes when performing machine learning. *For more details on the column, you can view it through the related links. Please feel free to contact us for more information.*

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We are delivering the sequel to "The Basics of Trademark Research," which was distributed in five parts. In the previous series, we learned about the fundamentals of trademarks, from the differences between patents and trademarks to the benefits of obtaining trademark rights, taught by our Chief Trademark Management Officer, Nakamura, who is also a patent attorney. Based on this content, what discussions will unfold this time? This is a must-read not only for beginners in trademarks but also for those in the intellectual property department and business units involved with trademarks. Additionally, anyone looking to establish their own brand should definitely take a look. *You can view the detailed content of the column through the related links. For more information, please feel free to contact us.

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This time, I would like to talk about the "Revision of the Examination Standards for Similar Goods and Services." The "Examination Standards for Similar Goods and Services" is a document published by the Patent Office that organizes the relationships of similarity between goods and services. It is primarily used as a unified standard for examining the similarity of designated goods and services, particularly in relation to conflicts with prior trademark registrations of others. This "Examination Standards for Similar Goods and Services" can be downloaded from the official website of the Patent Office, including past versions. *For more detailed information, you can view it through the related links. Please feel free to contact us for further inquiries.

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In the previous sessions, we introduced "Name Search" in several parts. This time, we will introduce "Similarity Group Code Search," which allows you to quickly and easily find the "Similarity Group Code," which is essential for all trademark searches. I would like to explain this content while looking at the actual search screen of TM-RoBo. If you have never used TM-RoBo or are curious about what the UI looks like, please take a look. It may serve as one of the materials for your consideration. *You can view the detailed content of the column through the related links. For more information, please feel free to contact us.*

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This is the final installment of the "Basics of Trademark Research" series. We will discuss the changes in the quality of research as seen from the number of trademark applications and the number of registration examinations. Please stay tuned until the end. As mentioned in the previous installment, we talked about how the number of applications from Chinese companies, small and medium-sized enterprises, and individuals has increased, leading to longer examination periods. Let's take a look at this trend using a table. *For detailed content of the column, please refer to the related links. For more information, feel free to contact us.*

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Last time, I introduced the basic mechanism of "phonetic search." This time, I would like to explain the specific usage of phonetic search using an actual search screen. First, the input screen for phonetic search will be displayed, so please enter the phonetic representation of the trademark you wish to investigate at the top, and then specify the "similarity group code" and "classification code." You can freely specify both the "similarity group code" and "classification code," specify only one of them, or not specify either, and you can also specify multiple codes for each. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.*

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The fourth installment of the "Basics of Trademark Research" series. This time, we are looking a bit overseas to discuss "Trademark Issues in Japan and China." Based on that, we asked Attorney Nakamura about two main themes: "The process, costs, and duration of trademark registration." This series is now nearing its conclusion, with the next episode being the final one. Please be sure to watch until the end. *You can view the detailed content of the column through the related links. For more information, feel free to contact us.

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In the previous installment, we introduced the background issues of existing trademark database services that led to the creation of TM-RoBo's phonetic search. This time, we will explain "the mechanism of phonetic search." As mentioned previously, the results of phonetic searches in existing trademark database services either randomly list trademarks that hit the search or only arrange them according to generally known formal rules (such as a one-sound difference indicating high similarity), so they are not ordered in a correct similarity sequence. As a result, it was necessary for researchers to carefully make similarity judgments for all search results themselves. *For more detailed content of the column, please refer to the related links. If you have any questions, feel free to contact us.*

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The third installment of the "Basics of Trademark Research" series. This time, we will deliver a discussion with Attorney Nakamura mainly about the benefits of acquiring trademark rights. We are also considering the effects that extend beyond the realm of legal affairs. Please take a look. *You can view the detailed content of the column through the related links. For more information, feel free to contact us.

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In the previous sessions, we discussed the benefits of introducing TM-RoBo (such as "two-stage surveys," "naming support," and "shortening of human resource development"). From this session onward, we will introduce the various functions of TM-RoBo over several sessions. First, I will explain the "name search" feature of TM-RoBo, specifically focusing on "name search" among the "name search" and "trademark search" options. Before explaining the function, I would like to examine the background issues that led to the creation of the "name search," specifically the problems associated with existing trademark database services. *For detailed content of the column, please refer to the related links. If you have any questions, feel free to contact us.*

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Following the first installment of this series, "Basics of Trademark Research 01 - What is Trademark Rights," we present the second installment. This time, we will discuss mainly "the scope of protection of patent rights and trademark rights" in a dialogue format between Mr. Nakamura, a patent attorney, and our staff who are studying trademark research. It has become commonplace now, but did the first manufacturer to attach a camera to a mobile phone not apply for a patent? Why is it that now, regardless of the manufacturer, every product comes with one? *For more details on the column, please refer to the related links. For further inquiries, feel free to contact us.

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We would like to introduce a case study of the implementation of "TM-RoBo," which we handle, at Kobayashi Pharmaceutical Co., Ltd. The impetus for the implementation was the expansion of the business, which led to an increase in the number of trademark applications and investigations. It was becoming difficult to manage operations with the existing personnel alone, making business improvement necessary. After the implementation, the efficiency of investigations significantly improved, with the speed of investigations increasing considerably. The time required for investigations was compressed to about one-third of what it was before implementation, thanks in part to integration with the internal system. 【Case Overview】 ■Challenges - With the expansion of the business, the number of trademark applications and investigations increased, making it difficult to manage operations with the existing personnel alone. - They began considering whether AI could be used for patent clearance investigations. ■Implementation Effects - They have almost completely eliminated the risk of overlooking similar trademarks. - The speed of investigations has significantly increased. *For more details, please refer to the PDF materials or feel free to contact us.

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We would like to introduce a case where our product "TM-RoBo" was implemented at AITM Trademark Design Office. The specific usage involves two aspects: "trademark" and "designated goods/services" for conducting trademark searches. It feels like having a fast, accurate, and highly capable assistant for trademark practice, significantly reducing the burden. In particular, the "PDF output function" produces results that are very refined and of high quality. Thanks to this feature, the time required for preparing reports has been greatly shortened compared to methods using JPP. 【Case Overview】 ■ Usage - Two aspects for conducting trademark searches: "trademark" and "designated goods/services" ■ Results - Fast and accurate, significantly reduced burden - Results produced by the PDF output function are very refined and of high quality - The time required for preparing reports has been greatly shortened *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case study of the implementation of our "TM-RoBo" at the Fukushima Patent Office. Before the implementation, it was difficult to make detailed judgments instantly regarding trademarks outside of our expertise, and we had to conduct several rounds of hearings and investigations with our clients. However, with the introduction of the product, the accuracy and speed of the hearings themselves have significantly improved, and the number of repeated hearings and investigations has drastically decreased, eliminating unnecessary back-and-forth. [Case Overview] ■ Before Implementation - We repeated "hearings" and "investigations" several times with clients. ■ After Implementation - The accuracy and speed of the hearings themselves have greatly improved. - The number of rounds of hearings and investigations has significantly decreased. - There is no longer a need to set up multiple meetings with clients. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case where our product "TM-RoBo" was implemented at Minato Mirai Law Firm. The deciding factor was the management perspective of trying it out if it could find possibilities to improve daily operations. Additionally, it was noted that the ability to check related indicators in a list by similarity, which helps avoid spending excessive time on unnecessary details, is very beneficial. 【Case Overview】 ■ Points of Attraction - The ability to perform "combined trademark searches." ■ Deciding Factors - The potential to find ways to improve daily operations. - The ability to objectively understand the level of technology in trademark research, which can lead to the discovery of new challenges. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case study of the "TM-RoBo" that we handle, implemented at Vega Corporation. While the number of trademark search tasks is not particularly high, there are many other tasks involved, and the challenge of where to allocate human resources has always been a concern. After implementation, we established several rules regarding naming, and if the results did not fall below a certain threshold, we allowed the transition to the next task, contributing to a reduction in man-hours. [Case Overview] ■Challenges - There are many tasks other than trademark searches, and the challenge is where to allocate human resources. ■Results - By establishing several rules regarding naming, and allowing the transition to the next task if the results did not fall below a certain threshold, we contributed to a reduction in man-hours. - The waiting time for research results when overwhelmed with other tasks has been eliminated. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case where our product "TM-RoBo" was implemented at Kobayashi Pharmaceutical Co., Ltd. The main reason for this implementation was the overwhelming number of trademark searches, making it extremely difficult to input each name individually for searches. After the implementation, a feature was added that allows sorting by indicators related to similarity from the top, significantly reducing the number of trademarks that need to be checked, enabling efficient and error-free investigations. 【Case Overview】 ■Challenges - The number of searches was very high, making it extremely difficult to input each name individually for searches. ■Results - The number of trademarks that need to be checked has been significantly reduced. - It has become possible to conduct investigations efficiently and without errors. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case study of the "TM-RoBo" that we handle, which was implemented at Pola Orbis Holdings Inc. Before the implementation, there was a challenge to reduce the enormous number of trademark investigation requests, which totaled around 3,000, in order to improve efficiency. After the implementation, the system provides highly accurate search results with specific numerical data, making daily operations easier and allowing for a different perspective through AI judgment, leading to new "insights." [Case Overview] ■Challenges - Previously, a small team was responsible for investigating all annual trademark requests, which amounted to about 3,000. - Faced with the issue of improving talent development. ■Results - Daily operations became easier due to the provision of highly accurate search results with specific numerical data. - Able to view from a different perspective through AI judgment. *For more details, please refer to the PDF document or feel free to contact us.

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"TM-RoBo" is a trademark search AI service that combines excellent functionality and accuracy to strongly support your company's intellectual property management strategy. By entering the trademark you wish to investigate, the artificial intelligence calculates various indicators in relation to applications and registered trademarks that share a certain degree of commonality. It powerfully supports trademark searches with accuracy comparable to that of experts through sorting and quantification. This significantly reduces not only the specialized knowledge and practical experience required of researchers but also the labor and time burdens associated with assessments. 【Features】 ■ Advanced artificial intelligence that has learned from numerous decisions and rulings ■ Clear numerical display of various indicators ■ Support for combined trademarks that include kanji, alphabets, and more *For more details, please download the PDF or feel free to contact us.

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