The Future of Legal Knowledge Management

Legal knowledge management (KM) used to mean vast law firm libraries, filing cabinets stocked with briefs, and decades of professional experience and institutional knowledge locked in senior partners' minds. As digital transformation swept through the legal industry, these evolved into document management systems and searchable databases. Although these tools represented a significant improvement, fundamental limitations remained in their ability to extract meaning from data and make connections across different sources of information. As artificial intelligence (AI) becomes increasingly embedded in law firm operations, KM professionals and teams find their role evolving, moving beyond pure practice support into a more strategic function that directly impacts firm profitability, operational efficiency, and competitive differentiation. KM professionals will play a critical role moving forward in the era of AI.

However, this shift can only be achieved when KM practitioners are equipped with the right tools, skills, and resources. The Future of Legal Knowledge Management: Harnessing Artificial Intelligence provides innovative and robust solutions to some of the most pressing issues facing KM practitioners today, including the ways in which knowledge managers can build a strong data foundation for AI application; how to develop the AI-empowered lawyer; gaining organizational and partner support for AI-augmented legal KM; modernizing existing KM architecture in the age of AI; and navigating the implementation of agentic AI.  

Written by KM experts, technologists, and industry leaders, The Future of Legal Knowledge Management: Harnessing Artificial Intelligence serves as a comprehensive handbook for KM professionals seeking to develop their skills, broaden their expertise, and overcome the challenges presented by modern legal practice. It will equip readers with the data-driven insights and actionable strategies needed to navigate a rapidly evolving profession, embrace AI's potential, and harness its power to shape the future of KM.