LegalTech Inc. began full-scale deployment of its IP AI™ platform, “AI IPGenius on IDX × MyTokkyo.Ai,” to be at the forefront of utilizing generative AI in intellectual property work. Through this initiative, the company aims to advance IP strategies and accelerate digital transformation (DX), which are urgently needed, particularly in the Japanese manufacturing industry.
IP AI™は、生成型AI技術とRAG(Search Augmented and Generative)技術により、特許調査、出願支援、侵害リスク分析、技術戦略立案など、知財業務に不可欠な多層的な業務を革新的に支援する次世代プラットフォームです。これにより、これまで煩雑で個人のスキルに依存していた知財業務の大幅な効率化と再現性の高い意思決定支援が可能となり、企業の研究開発部門や法務部門の知的資産活用能力の飛躍的な向上が期待されます。.
Of particular note are the industry-specific prompt templates and secure VDR (Virtual Data Room) compatible RAG search interface built into “AI IPGenius on IDX.” This allows for instant extraction of highly relevant information from vast amounts of technical documents, papers, and patent specifications, providing expert-level knowledge in real time in response to user questions. Furthermore, by linking with MyTokkyo.Ai, it also enables the centralization of patent management and application data for companies and individuals.
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For Japan’s manufacturing industry, intellectual property competition is intensifying as technology becomes more advanced, and we are now in an era where “establishing a competitive advantage through intellectual property” is the key to growth strategy, rather than simply improving the quality of manufacturing. In this context, IP AI™ is attracting attention as an “aggressive digital intellectual property platform” that will enable Japanese companies to win the international intellectual property competition.
リーガルテック is also accelerating the vertical deployment of industry-specific solutions such as “AI CutleryMaster,” “AI Robotix,” and “AI Mobility,” with an eye toward introducing its solutions to more than 1,000 manufacturing companies and startups over the next three years. The company aims to establish itself as a global IP AI company originating from Japan by forming an industrial IP DX ecosystem centered around IP AI™.
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