Semantic Patent Search Using BERT for Proactive Infringement Detection

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Adarsh Kamath; Sanjana Bhagwath; Syed Umair; Krishna Vaddagiri; Dr. Chitra B T

Semantic Patent Search Using BERT for Proactive Infringement Detection

Authors: Adarsh Kamath, Sanjana Bhagwath, Syed Umair, Krishna Vaddagiri, Dr. Chitra B T

Unique Paper ID: 182003
Volume: 12
Issue: 2
PageNo: 470-475

Keywords: Artificial Intelligence Intellectual Property IP Infringement Detection Pre-Launch Risk Assessment AI-Driven Platforms Patent Screening Trademark Analysis Copyright Monitoring IP Due Diligence Product Development Workflow.

Abstract:
Protecting intellectual property (IP) has grown to be a crucial but challenging task for companies, particularly during the stages of product development and launch. Traditional manual checks are no longer enough to guarantee compliance and prevent possible infringements due to the exponential growth in patents, trademarks, and copyrights. The development and use of AI-driven platforms that proactively scan, detect, and flag possible intellectual property conflicts prior to a product’s release are examined in this paper. These systems can compare product features, analyze large IP databases, and offer useful insights by utilizing machine learning, natural language processing, and image recognition. By incorporating automated IP intelligence into the product development lifecycle, the objective is to lower le- gal risks, prevent expensive litigation, and speed time-to-market.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 2
PageNo: 470-475

Semantic Patent Search Using BERT for Proactive Infringement Detection

Available:https://ijirt.org/article?manuscript=182003

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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