The AI Law Professor: When AI makes lawyers work more, not less

· Source: Thomson Reuters Institute · Field: Legal & Regulatory — Legal Technology (LegalTech), Compliance & Risk Management · Depth: Advanced, short

Summary

A recent study by UC-Berkeley researchers Aruna Ranganathan and Xingqi Maggie Ye, published in the Harvard Business Review, challenges the common promise that AI automates drudgery for knowledge workers. Tracking generative AI adoption over eight months at a 200-person technology company, the study found that AI tools intensified work rather than reducing it. Employees worked faster, took on broader responsibilities, extended hours into evenings and weekends, and multitasked more aggressively, often without conscious recognition of increased effort. This "productivity trap" creates a self-reinforcing cycle where AI accelerates tasks, raises expectations, increases reliance, and expands scope, ultimately leading to burnout. The research identifies three forms of intensification: task expansion, blurred work-life boundaries due to AI's conversational interface, and pervasive multitasking.

Key takeaway

For law firm leaders adopting generative AI, your firm should audit actual workload changes, as AI often intensifies work rather than reducing it. Implement governance structures that account for how professionals *actually* behave with AI, not how you imagine they will, to mitigate burnout and ensure ethical practice. Prioritize preserving space for uniquely human tasks like judgment and ethical reasoning.

Key insights

AI often intensifies work and expands responsibilities, rather than reducing workload, leading to potential burnout.

Principles

Method

Legal organizations must implement intentional governance structures and strategic frameworks for AI integration, aligning capabilities with mission, ethics, and human performance.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Legal Professional, Executive, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Thomson Reuters Institute.