As the AI hype cycle reaches its zenith, Big Law firms are beginning to reassess their expectations concerning generative AI’s potential, a reflection of the broader market sentiment. Law firm leaders and technology experts are tempering their initial optimism, recognizing that today’s AI tools excel more in back-office efficiency than in revolutionary client work handling. This shift diminishes the notion of a future completely devoid of associates.
Ryan McClead, CEO of Sente Advisors, succinctly put it: “We have to cut off the magical thinking that this is the electronic lawyer we’ve been waiting for.” McClead’s sentiment is echoed by Charles Adams, Clifford Chance’s global managing partner, who compared the anticipated AI disruptions to earlier technological shifts like red-lining technology, which drastically changed associate work dynamics. However, both agree that the specific impacts and their timing are still uncertain.
Despite the excitement, data from the Census Bureau indicates that integration of generative AI into professional services is sluggish, with only about 13% adoption. Partners initially pushed for investments, diverging from the usual pattern of tech adoption persuasion, only to now express disappointment as these tools “don’t do what [they] thought it was going to do,” said McClead.
Melissa Sawyer, head of Sullivan & Cromwell’s M&A group, highlighted the current AI tools’ lack of accuracy and utility in complex deal work, arguing that judgement, experience, and creativity cannot be easily automated. This skepticism extends to the return on investment concerns, which McClead anticipates will become more vocal over the next six to 18 months.
Practical applications of AI are being directed towards back-office functions, aiming for tangible returns without the risks associated with client-facing tasks. David Cambria, leader of Epiq’s legal advisory business, sees promise in such applications, suggesting firms focus on leveraging AI for efficiency improvements.
The balance between fear, uncertainty, and doubt (FUD) and the fear of missing out (FOMO) plays a crucial role in AI investment decisions. Cambria recommends a diversified technological approach, spanning from back-office applications to bespoke tools, to navigate this landscape.
Sharis Pozen of Clifford Chance exemplifies early AI adoption through Microsoft CoPilot, using it to enhance communication clarity and efficiency, although noting it still has limitations.
In conclusion, while AI’s potential remains substantial, Big Law firms are adjusting their perspectives, focusing on manageable efficiencies over transformative change, aligning more with practical utility over visionary expectations.
You can read the full article on Bloomberg Law’s website here.