This study presents a comparative technical analysis of legal and ethical frameworks in AI-enhanced procurement processes. The research evaluates existing legal and ethical frameworks governing AI use in procurement and identifies best practices for ensuring transparency, accountability, and ethical decision-making. A mixed-methods approach was used, combining quantitative surveys and qualitative interviews with procurement professionals and legal experts. The study found growing recognition of the need for clear guidelines and regulations to govern AI in procurement. While AI offers benefits like efficiency and cost savings, concerns about algorithmic bias, data privacy, and transparency remain. The study recommends strategies such as developing clear AI deployment guidelines, providing training for procurement professionals, and establishing mechanisms for monitoring AI systems. It emphasizes the importance of integrating legal and ethical considerations into AI deployment to ensure transparency, accountability, and ethical decision-making. The findings contribute to AI governance literature and provide practical insights for policymakers, procurement professionals, and stakeholders. Legal frameworks ensure compliance with data protection and anti-discrimination laws, while ethical frameworks guide AI development to ensure fairness, transparency, and accountability. Comparative analysis shows variations in legal and ethical frameworks across jurisdictions and industries, highlighting the need for cohesive strategies. Recommendations include international cooperation, regulatory updates, ethical impact assessments, and stakeholder collaboration to enhance AI deployment in procurement. The study underscores the importance of transparency and accountability in AI use to ensure legal compliance and ethical standards in procurement processes.This study presents a comparative technical analysis of legal and ethical frameworks in AI-enhanced procurement processes. The research evaluates existing legal and ethical frameworks governing AI use in procurement and identifies best practices for ensuring transparency, accountability, and ethical decision-making. A mixed-methods approach was used, combining quantitative surveys and qualitative interviews with procurement professionals and legal experts. The study found growing recognition of the need for clear guidelines and regulations to govern AI in procurement. While AI offers benefits like efficiency and cost savings, concerns about algorithmic bias, data privacy, and transparency remain. The study recommends strategies such as developing clear AI deployment guidelines, providing training for procurement professionals, and establishing mechanisms for monitoring AI systems. It emphasizes the importance of integrating legal and ethical considerations into AI deployment to ensure transparency, accountability, and ethical decision-making. The findings contribute to AI governance literature and provide practical insights for policymakers, procurement professionals, and stakeholders. Legal frameworks ensure compliance with data protection and anti-discrimination laws, while ethical frameworks guide AI development to ensure fairness, transparency, and accountability. Comparative analysis shows variations in legal and ethical frameworks across jurisdictions and industries, highlighting the need for cohesive strategies. Recommendations include international cooperation, regulatory updates, ethical impact assessments, and stakeholder collaboration to enhance AI deployment in procurement. The study underscores the importance of transparency and accountability in AI use to ensure legal compliance and ethical standards in procurement processes.