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82 P E E R T O P E E R : I L T A ' S Q U A R T E R L Y M A G A Z I N E | W I N T E R 2 0 2 4 are using AI always or often in the management of projects." The PMI framework emphasizes adaptability and flexibility, recognizing that projects rarely follow a linear path. Adaptability is critical for AI-powered tools in the legal sector, where projects may involve iterative development, continuous learning, and adaptation to new data and insights. By adopting the PMI framework, legal teams can ensure that their AI projects are well-managed, aligned with strategic goals, and deliver tangible results. For example, consider a law firm implementing a new AI-powered ediscovery solution. The PMI framework can guide the project from the initial assessment of needs and selection of the right tool to the implementation, training, and ongoing monitoring of the solution's effectiveness. The framework can also help manage the risks associated with AI projects, such as data security, ethical considerations, and the need for ongoing human oversight. PMI certification can be valuable for legal professionals managing AI and data-driven projects. It demonstrates their expertise in project management principles and enhances their career prospects by showcasing their ability to apply them in a complex and evolving technological landscape. Furthermore, professionals with PMI certification can play a crucial role in fostering a data-driven culture within their organizations, acting as champions for adopting AI and data analytics in legal THE PMI FRAMEWORK: A FOUNDATION FOR SUCCESS The Project Management Institute (PMI) framework provides a structured approach to project management, guiding projects through key phases: initiating, planning, executing, monitoring and controlling, and closing. This framework is particularly relevant in the age of AI, as it provides a solid foundation for managing complex projects that involve emerging technologies and data-driven decision-making. A 2023 PMI Annual Global Survey on Project Management says, "21% of respondents say they executing, and monitoring projects in a data- driven way. This article explores key principles and practical applications of data-driven project management in the legal field, providing a roadmap for legal technologists to leverage AI and data analytics, including generative AI. We delve into the types of data analytics and AI transforming legal practice, examine the implementation challenges, and highlight the strategic advantages of embracing this data- centric approach. First, we will consider the widely recognized Project Management Institute (PMI) framework.

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