[International IP Briefing] US, KR

 

US

USPTO Announces Return to In-Person Hearings for all Patent Trial and Appeal Board (PTAB) Hearings

 On July 23, 2025, the United States Patent and Trademark Office (USPTO) announced that starting September 1, all Patent Trial and Appeal Board (PTAB) hearings will be held in person unless there is a showing of good cause.

(Overview) 

Under the America Invents Act (AIA), parties to a trial and appellants in a patent appeal may request an oral hearing to present their arguments before the PTAB.

The Oral Hearing Guide, published on August 31, 2023, added an all-virtual hearing option for trials, allowing participating parties to present their oral arguments remotely. Accordingly, parties can choose their method of attending a hearing from the following options: ① appearing at a designated hearing location, ② appearing in person at a USPTO office, ③ appearing via video conference, or ④ appearing by phone. In addition, for non-confidential hearings, the PTAB allows the public to observe the hearing proceedings, and they can choose between ① attending in person at a designated hearing location or ② watching remotely via video conference.

(Key Points) 

The key points of the announcement, effective September 1, 2025, are as follows:

·         In-person attendance requirement – All parties involved in a PTAB proceeding must attend the hearing in person unless there is a showing of good cause.

·         Good cause – Parties may be granted an exception to attend a hearing remotely if there is a showing of good cause, such as financial hardship, medical emergency, or other similar obstacles to in-person attendance.

·         Individualized remote attendance approval – The approval for one party to attend remotely does not automatically constitute good cause for other parties to also attend remotely.

·         Hearing locations – Hearings will be held at one of the USPTO's offices, and parties may request a specific USPTO office location.

·         Public proceedings – The public, who are not parties, may attend hearings remotely as before and must submit a request by email at least three business days before the scheduled hearing date to attend either remotely or in person.

 

Link to the original text of the guide: https://www.ptab.info/PDFS/230800-G-ROHG.pdf

USPTO Headquarters (Alexandria, VA), Southwest Regional Outreach Office (Dallas), Rocky Mountain Regional Outreach Office (Denver), Elijah J. MaCoy Midwest Regional Outreach Office (Detroit), Western Regional Outreach Office (San Jose, CA) (Source: USPTO)

(Sources: https://www.uspto.gov/about-us/news-updates/uspto-returning-person-ptab-hearings )

 

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KR

KIPO Shortens Opposition Period Following Trademark Publication

On July 22, 2025, the Korean Intellectual Property Office (KIPO) announced that a revised Trademark Act, which shortens the opposition period, has gone into effect.

(Key Details)

 KIPO stated that the revision is expected to speed up the process for applicants to obtain trademark rights by shortening the opposition period from two months to 30 days. KIPO also explained the trademark opposition system and the background for shortening the opposition period.

Overview of the Trademark Opposition System

▪The trademark registration process consists of: application, publication, and finally, a decision on registration after the opposition period.

·     ▪The trademark opposition system allows anyone to file an opposition within the specified period from the publication date of a trademark application that a trademark examiner found no grounds to refuse. This system enables public participation in the examination process.

Background for Shortening the Opposition Period

▪As of June 2025, it took approximately 12.8 months to begin the examination of a domestic trademark application and 10.5 months for an international one. There have been requests to shorten the opposition period to allow for faster acquisition of rights.

·     ▪Even though oppositions were filed for only about 1% of all published applications, the remaining 99% of trademark applications still had to wait for two months.

 Application and Expected Effects of Shortening the Opposition Period

▪The revised Trademark Act applies to trademark applications published on or after July 22, 2025. It is expected that the registration decision for the majority of published trademarks will be expedited.

▪Even with the shortened opposition period, information about a trademark application is disclosed upon filing. This means third parties can still submit opinions on the applied-for trademark at any time through the Information Submission System.

▪Additionally, the period for amending the grounds for opposition has been extended to 30 days. This means the time available for third parties to submit their opinions will effectively remain at its previous level.

▪KIPO emphasized that it will continue to operate the trademark examination system in a balanced manner, ensuring sufficient opportunities for public examination while also reducing the processing time for examinations. They also highlighted that information about the new system will be provided in the decision notice for publication.

(Source:  WWW.kipo.go.kr 2025.7.22)

 

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50 Jurisdictions! One Platform! Unlimited Possibilities!

 

 We’re thrilled to announce a significant leap forward in providing our clients with unparalleled global patent data coverage, keeping pace with the ever-evolving landscape of technological innovation.

 WIPS Global, which previously offered comprehensive patent search services with 16 countries' full-text data, will now expand its reach. Effective this September, we are adding full-text data from 34 additional jurisdictions, bringing our total full-text data coverage to an impressive 50 jurisdictions!

 Why Does 50-jurisdictions Full-Text Data Matter?

▪Gain a Competitive Edge: Quickly identify global technology trends and competitor patent activities to solidify your market position.

▪Minimize Risks: Proactively pinpoint and develop strategies to avoid potential patent infringement, preventing unnecessary disputes.

▪Accelerate Innovation: Access a vast repository of global patent data to spark new ideas and guide R&D, thereby accelerating innovative technological development.

▪Global Market Entry Strategy: Meticulously analyze patent landscapes in specific countries to gain essential insights for successful international market entry.

What Makes the 50-jurisdictions Full-Text Data Unique?

▪Unrivaled Coverage: We boast global-leading data coverage, encompassing patent data from major technological powerhouses as well as rapidly emerging economies.

▪Accurate and Reliable Data: We provide the most up-to-date patent information directly from the original sources in each country, ensuring accuracy and reliability.

▪Powerful Search and Analysis Features: When combined with WIPS Global's unique and powerful search and analysis capabilities, this extensive data provides even more profound insights.

What core tasks can be performed with expanded coverage?

▪In-depth competitor analysis and technology trend identification: Analyze which technology sectors your main competitors are investing in to predict their R&D direction and market strategy.

▪Building and managing a robust patent portfolio: Identify technological gaps in specific fields and proactively file patents to build a strong patent portfolio.

▪Discovering new business opportunities and developing market entry strategies: When considering entering a new country, you can analyze its patent system, key technology trends, and competitor patent status to formulate a successful market entry strategy.

Let's take a closer look at the new and innovative WIPS Global, with data from 50 countries.

< the New 34 jurisdictions full-text >

**The images below are screenshots taken from the WIPS Global test server. The new 34 jurisdictions will be available in early September.**

wipsglobal.com> Field Search

wipsglobal.com> Search result

wipsglobal.com> View Details> PDF

wipsglobal.com> View Details> PDF

 This expansion to 50-country full-text data coverage is more than just an enhancement to our solution; it means providing patent practitioners with a powerful tool that maximizes your work efficiency and ultimately contributes to your company's success.

 No longer worry about missing critical information due to limited data. Experience the panorama of global patent information with our solution and open new horizons in your patent work.

 

Leading the coexistence with true AI: Multi-modal technology and patents

 

 Samsung Electronics recently made headlines by announcing its plan to build a "personalized AI ecosystem" that reflects user habits, centering on "multimodal AI," which unifies and recognizes various forms of information, such as voice and visual data.

 Samsung's ultimate goal is to implement a "customized AI assistant" that understands the user's intent and context through all electronic devices and peripherals within Samsung's AI ecosystem, not just AI confined to smartphones. Today, let's explore the technologies hidden within the AI assistants that are becoming a part of our daily lives.

New Galaxy Fold7 equipped with multi-modal AI features
(source: Samsung Newsroom, https://bit.ly/3GzlsWc)

"Who did you call?" – Interaction between voice command devices and AI assistants

With the advancement of technology, the number of voice recognition-enabled devices is steadily increasing, and the importance of "intelligent assistants" is also growing. In the past, voice recognition was limited to merely "pressing a button with your mouth" as it couldn't recognize commands not pre-learned. However, today, it exhibits sophisticated and advanced recognition capabilities, allowing it to converse with people.

wipsglobal.com
KR10-2023-7034829, Multi-modal interaction with intelligent assistants in voice command devices

 Samsung Electronics recently registered a patent titled "Multi-Modal interaction with intelligent assistants in voice command devices." This technology is applicable to a wider range of electronic devices, including Samsung's home appliances and cars, in addition to devices belonging to the "Galaxy ecosystem" such as smartphones, tablets, and watches manufactured by Samsung.

 This technology can be described as one that identifies which device a user used to call an intelligent assistant in an environment with multiple voice recognition-enabled devices, and then determines how the assistant will interact on that particular device.

 Considering the current trend where multiple devices are aiming for integration into a single "intelligent assistant," this technology can enable AI to perform commands accurately and intelligently. As a secondary benefit, it can also prevent the so-called "chorus phenomenon," where all surrounding devices respond simultaneously when the smartphone's AI assistant is called.

"How Multimodal AI Becomes Smarter" – Multimodal Data Learning Method

Multimodal AI often requires the ability to process complex information compared to simpler, traditional AI methods (e.g., text-to-text AI). This is because it needs to simultaneously recognize information from two or more different domains, find correlations between the data, and provide appropriate answers.

wipsglobal.com
KR10-2018-0029403, Method and device for learning multimodal data

 According to a patent disclosed by Samsung, multimodal AI's data learning method involves processing different signals in their respective networks, then understanding the context of these signals, analyzing their correlations, and training the process to deduce the user's hidden intent.

 Let's imagine showing a wardrobe with a dress and training clothes and saying, "Pick an outfit for a party." The AI understands the contexts: "something needs to be found in the wardrobe that meets the conditions" and "an outfit for a party is needed." It then analyzes their correlation to deduce the intent: "the user wants to find a formal outfit for a party." Based on this deduced intent, the AI concludes, "A dress would be good."

 The learning method of multimodal AI aims to equip AI with broader problem-solving capabilities, enabling it to be used in any situation by cultivating its ability to understand the context of multi-party information and extract hidden information.

"Multimodal AI that Sees Like a Real Person?" – Multi-Object Visual Search Technology

As mentioned earlier, the ultimate goal of multimodal AI is to implement an "intelligent assistant that understands intent and context and executes commands accurately." Despite its advancement to the point where it can process information by sharing the current situation like conversing with a friend, compared to conventional AI, there's still a long way to go as it requires prior learning to know where to find visual information to execute a given command.

wipsglobal.com
KR10-2023-0104283, Multi-modal deep learning model for multi-object visual search task

 However, Korea University's patent, "Multi-modal deep learning model for multi-object visual search task", might enable the implementation of sophisticated AI when combined with multimodal AI. This patent concerns a method of predicting the user's intended focus based on information about objects related to a given image, by simultaneously utilizing text and image analysis technologies.

 For example, let's assume the command is "Find the oven and refrigerator in this kitchen." Conventional methods might take an inefficient focus path, such as scanning the ceiling first and then moving to other areas if no focus path is specified. However, if this model is applied, it can extract features like "located on the floor or wall" from the semantic properties of "refrigerator" and "oven," allowing it to adopt an efficient focus path, such as scanning the walls or floor first and then moving to their surrounding areas.

 If such technology is combined with real-time multimodal AI services like Google's "Gemini Live," it could facilitate the implementation of AI that truly "sees and speaks" like a human, by quickly processing information transmitted from the user.

Solving "I couldn't find a suitable answer for OO" – Proper Noun Learning Method

A drawback of traditional speech recognition AI was its inability to correctly recognize user utterances if the words were not pre-learned (e.g., Samsung's Bixby misinterpreting "Huoguo" as "capture"), or its tendency to inaccurately deduce words, leading to incorrect answers. These shortcomings can be a fatal weakness in the recent trend aiming for AI that naturally communicates with humans.

wipsglobal.com
KR10-2011-0079586, Apparatus and method for adding new proper nouns to language model in a continuous speech recognizing system

 This patent, filed by ETRI, is a technology that, when encountering a proper noun not present in the existing learning model, compares and contrasts it with existing learning data to filter out appropriate sentence candidates, thereby acquiring new information about the proper noun. When this technology is integrated with multimodal AI, the AI can learn new proper nouns by combining them with other information when encountering unfamiliar objects or unheard proper nouns. Through this, we can expect more natural interaction from AI.

Multimodal Technology: Accelerating True Coexistence with AI

 Today, we've explored multimodal AI technology. As AI development rapidly advances, its presence in our daily lives is also increasing. The development of multimodal AI not only makes our lives more convenient but also allows us to dream of coexistence with AI, making these technologies worthy of our attention.

Catch the bugs that ruin summer! Pest eradication and patents

 

 Summer is the peak season for crop growth, but it’s also when pests and diseases thrive the most. Especially in countries like South Korea, where summers are hot and humid, fungal diseases and pests proliferate, severely affecting both daily life and the crops that should be maturing.

Swarms of lovebugs in Gyeyang Mountain, Incheon, South Korea
(source: https://n.news.naver.com/mnews/article/003/0013339892?sid=102 )

 To counter these issues, various fields are actively developing and deploying patented technologies and devices to eradicate pests. In this issue, we explore innovations in pest control and their related patents.

 Multi-Wavelength Light Emission Devices

 Insects are naturally attracted to light, which is why we often see them gather around streetlights and lamps at night. Leveraging this behavior, many household insect traps already use light to attract bugs. Now, the industry has taken it a step further by developing devices that use multi-wavelength light for pest attraction and extermination.

 Let’s start with a pest-attracting trap. This device consists of a security light and LEDs that emit light preferred by pests, along with a collection unit where the attracted insects are automatically captured.

wipsglobal.com
KR10-2779162, Multi-wavelength light-emitting trap for attracting pests

 Another device utilizes both cyclone technology and multi-wavelength lighting. According to the patent, this invention includes an intake fan and air inlets to suck insects into a cyclone chamber, combined with multi-wavelength LEDs that attract pests toward the suction area for efficient capture.

wipsglobal.com
KR10-2823302, Apparatus for removing bugs using a cyclone and multi-wavelength light

 There’s also a pest-attracting lamp that uses electric shock and adhesive sheets. When insects are drawn to the light, they stick to the adhesive sheet and are electrocuted. The lamp features multiple heating wires that silently kill insects with heat and hygienically incinerate their remains.

wipsglobal.com
KR10-2795037, Pest attracting light

In-Vehicle Pest Control Devices

 Pests like mosquitoes don’t just invade our homes and streets—they can also enter our cars. Due to their small size, they can easily slip into tight spaces like the engine room.

 To combat this, a technology uses cameras to detect and eliminate pests inside vehicles. This invention involves a camera installed inside the car to detect pest movement. Once a pest is detected, a control unit activates a sprayer or fumigator. The pest control device operates for a set period and reactivates after one hour if pests are detected again via the camera.

wipsglobal.com
KR10-2024-0078448, Pest extermination apparatus and method for vehicle

 Another device uses ultrasound to repel mosquitoes in the car. This system actively adjusts the output and sensitivity of ultrasonic waves to emit sound frequencies that mosquitoes and other pests dislike, effectively driving them away.

wipsglobal.com
KR10-2025-0015500, Mosquito repellent apparatus and method for operating the same

From Robot Vacuums to Labyrinth Traps: Creative Technologies

 The devices mentioned so far may already be familiar or even in use today. But some technologies take a more creative approach.

 Have you ever thought of using a robot vacuum to get rid of pests? Robot vacuums, which clean hard-to-reach corners, can now detect hidden pests and even spray insecticide directly. Linked with a mobile app, they can notify the user of the pest's location and type in real-time.

wipsglobal.com
KR10-2024-0154412, Pest control system including robot cleaner and pest control method

 Another clever invention uses a maze-like trap. This device creates a compartmentalized labyrinth that traps insect larvae. Once inside, they can’t escape and eventually die due to oxygen deprivation. It’s particularly effective against mosquito larvae and can be installed in water containers, flower pots, manholes—essentially any moist environment.

wipsglobal.com
KR10-2024-0152827, Labyrinth for capturing and destroying mosquito larvae

Smart Tech vs. Pests: The New Paradigm

With the scorching summer heat already making us irritable, pests only add to the misery. But with the rise of smart technologies and patented devices, we’re seeing a shift in how we prevent and deal with pest outbreaks. Hopefully, these smart solutions will help us enjoy a more comfortable and pest-free summer!

gettyimagesbank.com

 

[International IP Briefing] US, KR

 US

The New York Times Strikes Content Licensing Deal with Amazon for AI Services

 May 29, 2025 – The New York Times announced today that it has entered into a licensing agreement with Amazon, allowing Amazon to utilize The New York Times' content for its artificial intelligence (AI) services.

In December 2023, The New York Times became the first major U.S. media outlet to file a copyright infringement lawsuit against OpenAI and Microsoft in the U.S. District Court for the Southern District of New York1). The lawsuit alleged that its copyrighted works were used without authorization in the training of generative AI models.

In connection with that lawsuit, The New York Times asserted that OpenAI and Microsoft were responsible for illegally reproducing and using its copyrighted works for generative AI training. It demanded the deletion of AI chatbot models and training data, and the relevant lawsuit is currently ongoing.

The New York Times has signed an agreement with Amazon to allow Amazon to use New York Times content for training its own large language models (LLMs) in the process of developing Amazon's AI models. This marks the first official licensing agreement between The New York Times and a generative AI company. The specific terms and conditions of the agreement with Amazon have not been disclosed.

Through this agreement, Amazon will be able to leverage New York Times article content for its AI training. It is expected that New York Times content summaries and real-time information will be provided through Amazon products and services such as Alexa.

Furthermore, the agreement includes not only New York Times news content but also content from "NYT Cooking," which focuses on recipes, and "The Athletic," a sports website.

Meredith Kopit Levien, CEO of The New York Times, emphasized in an internal memo to employees, "This agreement aligns with the principle that high-quality journalism is worth paying for." She further added, "This agreement is part of The New York Times' approach to ensuring its work is appropriately valued, whether through commercial agreements or intellectual property protection."

Major media2) outlets and other sources have noted that this agreement comes amidst the ongoing copyright infringement lawsuit filed by The New York Times against OpenAI and Microsoft. This suggests that The New York Times is exploring various strategies related to copyright with AI companies.

gettyimagebank.com

1) U.S District Court Southern District of New York. 

2) For related reports, please refer to the following link: https://www.ft.com/content/bc73404e-6f01-4b9e-9563-1a5f055d2c98

 

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KR

The Korean Society of Composers, Authors and Publishers (KOSCAP) Signs Music Copyright Royalty Settlement Agreement with TikTok

May 7, 2025 – The Korean Society of Composers, Authors and Publishers (KOSCAP) announced today that it has signed a music copyright royalty settlement agreement with TikTok, the global short-form video platform.

KOSCAP emphasized the significant implications of this agreement, noting that it covers not only future music usage but also past music usage. KOSCAP highlighted the following points:

(1) TikTok's Influence

TikTok is a leading entertainment platform serving over 150 countries worldwide. Through its algorithm-based recommendation system, TikTok has a substantial impact on the global music industry. It shapes new music trends, discovers hidden artists and songs, and promotes the spread of diverse music content.

(2) KOSCAP's Efforts to Strengthen Copyright Settlement Systems

KOSCAP has consistently engaged in discussions with TikTok to protect the copyrights of its members' works used on the platform. With the signing of this KOSCAP-TikTok music copyright royalty settlement agreement, the copyright protection system will be further solidified, and compensation for past music usage will also be provided.

KOSCAP has recently been collaborating with various platforms to strengthen copyright settlement systems. It's actively responding to changes in the digital environment to ensure a transparent and reliable settlement environment. As platforms become more diverse, the rights of music creators must be respected everywhere. Therefore, KOSCAP plans to prioritize protecting its members' rights by fostering win-win relationships with platforms and expanding cooperation with global copyright organizations in line with the evolving digital environment.

(3) Future Royalty Settlement Schedule

Detailed schedules for copyright royalty settlement and payment will be announced to members by KOSCAP at a later date.

gettyimagebank.com

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Essential, Not Optional!, AI-powered Summary and Real-time Translation

 Various AI technologies are now being actively utilized in the field of intellectual property (IP) services. In particular, applying AI to patent search systems has become a key element that significantly enhances both the efficiency and accuracy of patent searches. AI plays a crucial role in areas such as search, summary, translation etc. Let’s take a closer look at several key applications:

Processing Vast Amounts of Data and Extracting Highly Relevant Information

Every day, countless patents are filed and granted worldwide. It is virtually impossible for humans to manually review all of this massive data. AI leverages machine learning algorithms to rapidly analyze millions of patent documents and accurately identify the ones most relevant to the user's needs. Going beyond keyword matching, AI understands context and detects similar concepts, playing a critical role in discovering important patents that might otherwise be overlooked.

Improved Search Accuracy and Efficiency

Traditional search methods based on keywords and boolean operators often lead to missed relevant patents or retrieval of excessive irrelevant results, due to users' limited domain knowledge. AI-powered search, on the other hand, uses natural language processing (NLP) to understand complex queries and automatically expands them to include similar concepts, synonyms, and related technical fields. This increases search precision, reduces unnecessary effort, and helps users identify key patents more quickly and efficiently. AI also supports the automatic classification and visualization of results, enabling analysts to grasp overall technology trends at a glance.

Fast and Accurate Patent Summary

Patent documents are highly technical and voluminous, requiring considerable time to understand their core content. AI-based summary tools can automatically extract and concisely present key claims, invention features, and technical effects from full-text patents. This is essential for rapidly scanning large volumes of patent data and selecting important documents, greatly reducing analysis time. With these summaries, analysts can quickly assess a patent’s value and determine whether further in-depth review is necessary.

Overcoming Language Barriers and Enhancing Global Accessibility

Since patents are filed in various languages, language-restricted searches limit access to global technology insights. AI-powered translation tools can accurately and quickly translate patent documents from around the world, breaking down language barriers. This significantly enhances access to non-English patent information and is indispensable for tracking global research trends or competitor developments. Beyond basic translation, AI systems provide more accurate outputs by understanding domain-specific terminology and context within the patent field.

Support for Strategic Decision-Making

AI functionalities go beyond simple information retrieval and assist analysts in making strategic decisions. For example, AI can help identify promising technologies by analyzing patent trends in a specific field or assess competitors’ patent portfolios to guide R&D direction. It can also provide insights for evaluating potential infringement risks or analyzing the patent landscape when entering a new business area. Such AI-generated insights are increasingly being used to support various aspects of business strategy.

AI features have become indispensable tools for patent search professionals, enabling more precise and efficient analysis of complex and extensive patent data. Ultimately, these tools support better strategic decision-making. AI is reshaping the paradigm of patent work and its importance will only continue to grow in the future.

At WIPS Global, we're at the forefront of patent search innovation, offering advanced AI-powered summary and real-time NMT (Neural Machine Translation) features. Let's explore how these capabilities empower patent professionals. 

wipsglobal.com> View Details> AI Summary

Our AI Summary built on generative AI, simplifies complex patent documents by translating intricate technical jargon into easy-to-understand language. This allows you to quickly and efficiently comprehend vast amounts of patent literature.

The summary process is intelligently structured, considering the typical components of a patent specification. It distills the core essence of the invention, providing key details on- Technical Field, Tech problem (to be solved), Tech Solution, Key Features and Effects. This comprehensive yet concise approach enables a quick and intuitive understanding of an invention's core, both from a holistic and a detailed perspective. This feature is currently available for documents in English and Chinese.

wipsglobal.com> View Details> Claims

WIPS Global also offers real-time Chinese translation for full-text documents originally provided in English and Japanese. This real-time translation capability is activated for critical sections of patent documents, including ‘Title (of Invention)’, Abstract, Claims and Description of Invention. This invaluable feature extends to a wide range of our supplementary tools, ensuring seamless understanding across various features: View Details, Easy Viewer, Dual Viewer, Claim Analysis, Invalidation Advisor and Insight Plus.

wipsglobal.com> View Details> Claims

JP patent document- a real-time translation

wipsglobal.com> View Details> Claims

✔NMT (Neural Machine Translation) leverages Artificial Neural Networks to perform machine translation. This advanced AI technology uses deep learning to comprehend context and sentence structure, generating remarkably natural translations.

Unlike traditional methods that translate words or phrases in isolation, NMT offers superior accuracy and flexibility by better understanding the nuances of context. This results in more fluent and precise translations that truly capture the original meaning.

wipsglobal.com> Claim Analysis

Claim Analysis: English-Chinese Real-time Translation

wipsglobal.com> Insight Plus

Insight Plus > View Details > Real-time Translation

As we've seen, WIPS Global's AI Summary and real-time NMT translation features are indispensable tools in the patent search landscape. They empower you to:

·        Rapidly grasp the core essence of extensive patent information.

·        Overcome language barriers to understand global technology trends.

·        Make more accurate and timely decisions.

These AI-driven capabilities go beyond mere convenience; they significantly boost your work productivity and analytical capabilities, taking your patent research to an entirely new level.