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@article{189649,
        author = {N KAFEEL AHMED and Dr.N.Fathima Thabassum},
        title = {AI Powered Client Support and Client Contentment in Legal Digital Marketing a Conceptual Review and Frame Work},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {6790-6793},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189649},
        abstract = {The rapid diffusion of artificial intelligence (AI) technologies has fundamentally reshaped client engagement strategies in professional service industries, particularly within legal services. Law firms increasingly deploy AI-powered client support systems—such as chatbots, virtual assistants, and automated intake tools—across digital marketing platforms to enhance responsiveness, scalability, and operational efficiency (Susskind, 2017; Katz et al., 2014). Despite growing adoption, scholarly understanding of how AI-mediated client support influences client contentment in legal digital marketing contexts remains fragmented. Drawing upon the Technology Acceptance Model (Davis, 1989), service quality theory, trust theory, and human–AI interaction research, this study synthesizes prior literature to identify key determinants of client contentment, including perceived usefulness, personalization, trust, and human support availability (Schoefer, 2008; Schmidt et al., 2020). Based on this synthesis, a conceptual framework is proposed to explain the relationships among AI-powered client support, mediating mechanisms, and client contentment. The study contributes by integrating fragmented research streams and offering theoretical and managerial insights for legal service firms.},
        keywords = {artificial intelligence; legal services; digital marketing; client contentment; human–AI interaction; conceptual framework},
        month = {December},
        }