AI Powered Patent Intelligence and IPR Assistance System for Legal Compliance and Entrepreneurial Support

Abstract

In today’s rapidly evolving innovation environment, students, developers, and growing startups often encounter significant difficulties in protecting and commercializing their ideas due to inadequate awareness of intellectual property frameworks, complicated patent procedures, and restricted access to government support services. This research proposes an Artificial Intelligence-based Patent Intelligence and Intellectual Property Guidance System designed to tackle with this gap by offering a comprehensive and integrated platform for refining raw ideas into legally secured and commercially viable assets. The proposed system utilizes advanced Natural Language Processing and ML techniques to assess user-submitted ideas and evaluate semantic similarity analysis against existing available patent databases, allowing users to identify prior art and obtain relevant patent recommendations. Furthermore, the system integrates a Legal Risk and Compliance Checker that determines patent eligibility based on defined legal provisions, identifying constraints such as non-patentable subject matter, novelty concerns, and potential legal conflicts, thereby improving the chances of successful patent approval. In addition, an intelligent Government Scheme Auto-Matching Engine is incorporated to link innovations with appropriate support programs by analyzing eligibility criteria, funding opportunities, and application procedures, thereby improving entrepreneurial accessibility. The platform also enables automated generation of essential patent documentation, including abstracts and claims, significantly reducing procedural effort and time consumption. The results indicate improved efficiency in idea evaluation, enhanced awareness of legal compliance, and improved accessibility to innovation support frameworks. This study shows that integrating patent intelligence, legal validation, and entrepreneurial support into a unified framework can significantly enhance innovation management practices, facilitate informed decision-making, and promote to the development of a more robust, legally compliant, and innovation-driven ecosystem.