Law firms need better resource management to get value from legal AI, BigHand argues

Legal AI adoption requires firms to rethink work allocation to understand their people and how technology reshapes roles. The traditional apprenticeship model needs redesigning because AI now handles much of the manual execution, such as drafting and reviewing. However, AI does not eliminate the need for human oversight, judgment, or contextual understanding. Lawyers must validate AI output, apply judgment to context, and manage hybrid workflows. For sustainable adoption, this work needs allocation based on merit and development needs rather than personal preference. A 2025 resource management report found that nearly 40% of work allocation is still driven by personal preference. Firms need visibility into who is doing what, how matters are resourced, and skill development to create a foundation for intelligent work allocation. With this structure, firms can ensure the right lawyers validate AI work, balance workloads, and surface emerging skills. Womble Bond Dickinson integrated resource management into a real estate practice group and saw utilization rise 10% over two years and staff retention increase 33% in the first year. Firms that succeed will redesign operating models, treat work allocation as a strategic capability, and build development pathways that reflect how work is actually done.

(Source：Complete Ai Training)