In the era of technological advancement and generative AI and deep learning, the authors of the paper focused on the research study that addresses the research problems including lawful unreliability encircling authorship, possession, potential for exclusive rights, and violation driven by contents and inventions generated by AI. The authors’ research objective aims to assess the legal frameworks for intellectual property specifically in relation with patent law and Indian copyright frameworks. Through this analysis, adequacy is measured in regulation of algorithmically generated content and solutions in the lack of AI regulations. The scope of the study is restricted to copyright and patent involvement of Generative AI with deep learning technologies, that integrates the use of licensed and confidential data in the process of training of AI, acknowledgement of works that are AI generated, industry wide administrative responses. The authors adopted doctrinal and analytical method approach as the research methodology involving the statutory provision’s examination, judicial rulings, policy papers, scholarly articles, and sector practices are used to discover areas lacking regulation and difficulties in interpretation. The key findings and analysis of the paper indicate that present intellectual property regulations are highly aimed at humans and are not enough prepared to manage outputs from autonomous AI, as AI systems lack juristic personality, which results in ongoing hurdles regarding proprietorship, responsibility, and safeguard. Additionally, the research shows that using licensing content to train AI models carries major risks of infringement, leading to overreliance on contractual safeguards and self-regulatory mechanisms by online platforms. The document concludes that the rapid development of generative AI requires updates to legal frameworks, clearer policy directions, and a new understanding of creativity and originality to safeguard human intellectual efforts while promoting responsible tech growth.