Authors : Rotimi E. Ajigboye

Volume/Issue : Volume 11 - 2026, Issue 1 - January

Google Scholar : https://tinyurl.com/3twpndm4

Scribd : https://tinyurl.com/5n7s8sfy

DOI : https://doi.org/10.38124/ijisrt/26jan1338

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Conversational artificial intelligence (AI) is increasingly transforming legal practice by enabling natural language– based reasoning, decision support, and automation of contract-related workflows. This paper examines the role of conversational AI systems in legal reasoning and contract automation, focusing on their capacity to interpret complex legal language, extract relevant provisions, and assist with drafting, review, and compliance monitoring. Advances in large language models, natural language processing, and knowledge representation have enabled these systems to simulate aspects of legal reasoning, such as issue spotting, clause comparison, and risk identification, while operating through intuitive conversational interfaces. In the context of contract automation, conversational AI facilitates end-to-end processes including requirement elicitation, generation of standardized or customized clauses, negotiation support, and lifecycle management, thereby reducing time, cost, and human error. The paper also critically evaluates limitations related to explainability, bias, data privacy, and the challenge of aligning probabilistic language models with the normative and precedent-based nature of legal reasoning. Ethical and regulatory considerations are discussed, particularly the risks of overreliance on automated outputs in high-stakes legal contexts and the need for human oversight. By synthesizing current developments and challenges, this review highlights how conversational AI can augment—rather than replace—legal professionals, supporting more efficient and accessible legal services. The paper concludes by outlining future research directions, including hybrid human–AI frameworks, domain-specific model training, and governance mechanisms necessary to ensure trustworthy deployment of conversational AI in legal reasoning and contract automation.

Keywords : Conversational Artificial Intelligence; Legal Reasoning; Contract Automation; Natural Language Processing; Legal Technology.

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