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@article{182003,
        author = {Adarsh Kamath and Sanjana Bhagwath and Syed Umair and Krishna Vaddagiri and Dr. Chitra B T},
        title = {Semantic Patent Search Using BERT for Proactive Infringement Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {470-475},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182003},
        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.},
        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.},
        month = {July},
        }