日本語 
LegalTech Co., Ltd. has begun offering an “AI-powered pre-investigation workflow” for development work involving encapsulating materials, conductive materials, insulating materials, etc., targeting the research and development and intellectual property departments of electronic materials manufacturers.
This service addresses practical challenges faced by companies in the field of electronic materials, such as missed searches due to a mix of material names, product names, and abbreviations, scattered formulation conditions and evaluation items, and inconsistencies in the level of detail among different personnel, by reducing the workload and stabilizing the quality of pre-search preparation.
Background: Structural challenges in information organization in electronic materials development
In the field of electronic materials, there are a wide range of material categories, including encapsulants, conductive pastes, insulating films, adhesives, and heat dissipation materials, each with its own unique formulation design and evaluation processes.
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In the research and development department, formulation study history, experimental data, and evaluation reports are managed in a scattered manner across multiple systems and personal folders, making it difficult to refer to past study content across different systems.
In particular, with regard to electronic materials, it is common for the same material to be referred to by a mixture of chemical names, trade names, abbreviations, and grade names. This makes it easy for omissions to occur when searching for prior art or competitor information using only trade names.
For example, with epoxy encapsulants, the raw material manufacturer’s product name, generic name, chemical name, and higher-level concept are all listed in different ways in laboratory notes and patent specifications. Unless these are organized from a unified perspective, it is difficult to ensure comprehensiveness of the investigation.
Furthermore, in organizing the examples and comparative examples, the test conditions (curing temperature, curing time, mixing ratio) and evaluation items (heat resistance, adhesion, dielectric properties, thermal expansion coefficient, etc.) are recorded in different formats for each document, requiring considerable effort to compare multiple experimental data across them.
Furthermore, tasks such as invention extraction and research preparation tend to depend heavily on the experience of specific individuals, and there is a high risk that past review processes will be lost due to personnel changes or resignations. In many cases, it is difficult to reproduce the reasoning and background of the previous person’s decisions when handing over a research theme, making the creation of knowledge transfer mechanisms a common challenge in the industry.
SOURCE: PRTimes
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