Hitachi Introduces AI Features in Shareresearch: Revolutionizing Patent Research
Hitachi, a leader in the patent information service sector, has recently enhanced its highly regarded service, Shareresearch, by integrating groundbreaking features powered by artificial intelligence (AI). Starting from October 5, users can access new functionalities including "AI Summarization" and "AI Search," designed to streamline the process of patent research and leverage patent information effectively.
The Need for Enhanced Patent Research
As the landscape of research and development evolves, there is an increasing demand for rapid and sophisticated R&D efforts across various industries. Patent research has become crucial in shaping technology developments and formulating business strategies. However, navigating and interpreting the extensive legal jargon often found in patent documents requires specialized knowledge and can be a labor-intensive process.
Hitachi's newly introduced features aim to alleviate these challenges by providing an accessible way for researchers, even those with minimal experience in patent research, to gather necessary information quickly and efficiently.
Key Features of the New AI Integrations
The two new functionalities introduced in Shareresearch are:
1.
AI Summarization: This feature summarizes the content of patent publications by focusing on essential aspects that are particularly relevant to R&D professionals. The generated summaries highlight key components such as the technical field, targeted technologies, problems addressed, and the solutions proposed, presenting them in a structured format that is easier to understand, even for users unfamiliar with patent terminology.
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Benefits: Users can save up to 90% of the time spent on reviewing patent contents, significantly reducing the number of documents that require detailed examination.
2.
AI Search: Users can initiate a patent search simply by entering their ideas or topics into a chat interface. The AI comprehensively organizes the search parameters and refines the results, allowing for a smoother research flow. Furthermore, the AI evaluates the relevance of extracted patents concerning user inputs, ranking them accordingly to streamline the focus on the most pertinent information.
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Benefits: This feature reduces the time researchers spend filtering unrelated results, successfully decreasing the number of patents that require in-depth analysis by up to 80%.
The Impact of AI on Patent Research
Through internal testing, Hitachi has confirmed substantial time savings and efficiency gains realized through these AI-driven features. Both functionalities are expected to empower not only legal and intellectual property departments but also R&D and strategic planning teams, enabling them to access necessary patent information more easily.
Broader Implications and Future Directions
The introduction of these AI capabilities marks a significant step towards enhancing the utilization of patent data within organizations. As patent research demands diversify, Hitachi aims to support broader access to critical patent information by combining high-accuracy databases with innovative digital technologies. This approach is expected to bolster research development and drive business growth comprehensively.
Upcoming Events
Hitachi plans to demonstrate these new functionalities at the "2026 Intellectual Property and Information Fair & Conference," taking place from September 16-18 at Tokyo Big Sight. Attendees will have the opportunity to experience the capabilities of the newly launched AI features before their official release.
Continuing Innovation in Patent Technology
Hitachi is committed to advancing the strategic utilization of patent information, continuously evolving its service offerings to meet the needs of its users, and further contributing to innovation in research and development sectors worldwide.
For more information about Shareresearch, please visit
Hitachi Shareresearch or reach out to Hitachi's Customer Relations Center for inquiries.
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