Legal Tech Launches AI IPGenius on IDX Deployment

LegalTech Inc. has launched the full-scale launch of “AI IPGenius on IDX,” a next-generation intellectual property AI platform that supports intellectual property operations in the manufacturing industry. This service integrates generative AI and RAG (Retrieval-Augmented Generation) technology to provide a wide range of support, from patent applications and prior art research to contract management and intellectual property strategy planning.

Intellectual property issues in the manufacturing industry

The strategic use of intellectual property (IP) is essential for the manufacturing industry, which supports Japanese manufacturing.

Intellectual property system cannot keep up with development speed

It is difficult to assess the risk of conflict with other companies’ patents

Personal knowledge is scattered and not utilized

It takes a huge amount of time to search for similar specifications and prior art

There are a lot of challenges such as:

To address these challenges, “AI IPGenius on IDX” provides high-speed AI search, generation, and decision-making support functions, transforming the intellectual property capabilities of the manufacturing industry from “protection” to “offense.”

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“AI IPGenius on IDX” provides comprehensive support for investigations, applications, knowledge management, and regulatory compliance in any industry. Based on the characteristics of each industry, the following uses are expected:

In the machinery and electrical industries, it is particularly effective in improving the efficiency of research and applications during new product development; in the automotive industry, it is effective in managing intellectual property by module and linking contract knowledge; in the chemical and materials industry, it is effective in checking consistency with past applications and creating claims; in medical devices, it is effective in AI-based checking of regulatory documents; and in precision equipment, it is effective in cross-knowledge searches and educational data generation.

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