Mentorship has long been recognized as a cornerstone of personal and professional development. With the advent of technology, especially in the fields of artificial intelligence (AI), machine learning, and digital platforms, the landscape of mentorship is rapidly evolving. This paper presents a comprehensive review of current mentorship practices, with a particular focus on the integration of technology in enhancing the effectiveness and accessibility of mentoring relationships. We examine a wide range of studies exploring e-mentoring, AI-driven mentorship tools, virtual mentorship platforms, and the use of technology to support both mentors and mentees in diverse settings, including education, healthcare, and business. By synthesizing findings from 46 peer-reviewed articles, we highlight key trends, benefits, challenges, and the emerging role of technology in mentoring. Furthermore, we identify critical gaps in the literature, emphasizing the need for more research on the scalability, equity, and personalized nature of tech-enabled mentorship programs. Finally, we propose future directions for the development of more effective and inclusive mentorship models, underscoring the potential of technology to foster deeper connections, improve learning outcomes, and bridge gaps in access to mentorship. This review aims to provide insights for practitioners, researchers, and organizations seeking to leverage technology to enhance mentorship practices and foster more impactful mentoring experiences.