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This research explores the crucial challenges influencing the adoption of Artificial Intelligence (AI) in the legal domain, a field facing escalating challenges due to rapid technological advancements. We have comprehensively identified, extracted, and evaluated 11 pivotal factors across legal, technical, and socio-ethical dimensions through a systematic review based on the PRISMA guideline. These factors are categorized into three principal groups. Utilizing an analytic hierarchy process (AHP), our innovative approach assesses the relative importance of these challenges based on data meticulously gathered from eight domain experts in law and AI. Our findings pinpoint legal aspects as the paramount category, with liability as the foremost concern among the analyzed factors. These insights offer robust and actionable guidelines for integrating AI into legal practices and underscore this study’s unique contribution to bridging the gap between legal professionals and technology developers. By highlighting the practical applications of our results, this paper facilitates a deeper understanding and proactive engagement with the essential considerations pivotal for the future adoption and evolution of AI within the legal domain.本研究旨在探究影响人工智能（Artificial Intelligence，AI）在法律领域应用的关键挑战——该领域因技术快速迭代正面临日益严峻的挑战。本研究基于PRISMA指南开展系统综述，全面识别、提取并评估了法律、技术与社会伦理三个维度下的11项关键影响因素，并将其划分为三大核心类别。本研究创新性地采用层次分析法（Analytic Hierarchy Process，AHP），基于从8名法律与人工智能领域专家处精心收集的数据，对上述挑战的相对重要性进行评估。研究结果明确显示，法律维度为最核心的挑战类别，其中法律责任是所有分析因素中最为首要的关切议题。上述研究结论为人工智能融入法律实务提供了坚实且可落地的指导框架，同时凸显了本研究在弥合法律从业者与技术开发者之间认知鸿沟方面的独特价值。本研究通过阐述研究结果的实际应用场景，助力相关群体更深入地理解并主动聚焦法律领域内人工智能未来应用与发展的核心关键考量因素，推动该领域人工智能的落地与演进。