The AI Adoption Conundrum: Why Legal Firms Lag Despite Soaring Stakes

The recent Legalweek conference highlighted artificial intelligence (AI) as a dominant topic, yet a central question concerned its low adoption rate among lawyers. The situation in the legal sector mirrors trends observed in technology companies, where AI-driven efficiency gains have been linked to workforce reductions. Billions of dollars have been invested in legal technology based on the expectation that AI will deliver similar productivity increases in professional services. However, AI adoption within law firms remains inconsistent, despite client demands for faster, more cost-effective services and investor expectations for returns.

AI Advancements vs. Slow Adoption

Legalweek showcased significant advancements in generative AI, with improved demonstrations and the prevalence of AI "agents" designed to automate tasks traditionally performed by junior associates.

However, data from the conference indicated a concerningly slow adoption. A Microsoft representative's informal poll revealed that only a small number of attendees used software for automated contract review, a clear application for large language models.

Industry Warnings: Revenue and Reputation at Risk

Industry experts warned that firms failing to integrate AI risk losing clients.

Emma Dowden, Chief Operating Officer at Burges Salmon, stated that "Revenue is at risk."

Derek Morales, an in-house lawyer at Macquarie Capital, indicated that "AI maturity" already influences how companies select outside counsel. He described firms' resistance to legal AI platforms as "cringeworthy."

Unpacking the Resistance: Fear, Finance, and Familiarity

Explanations for the slow adoption include lawyers' concerns about job displacement, the potential impact on traditional hourly billing models, and a general lack of understanding of the technology. Partners may also prefer to pilot new technologies in other practice areas.

Contrary to some assumptions, younger lawyers are not always early adopters. Sarah Eagen, who leads learning and development at Cleary Gottlieb, noted that many associates view automation as a threat to careers built on entry-level work.

The Critical Role of Training

Conference speakers emphasized the paramount importance of comprehensive training. Ian Nelson, who runs Hotshot, a company assisting law firms with training programs, stated that too few firms offer adequate AI training.

Nelson argued that training is often delayed until after a tool is licensed or is too narrow, focusing only on tool-specific demonstrations without providing broader context on risks and firm policies. He cautioned that some lawyers are already using chatbot tools regardless of formal training or firm directives.

The Emerging Question: Is Non-Use Malpractice?

A new and provocative question emerged during the week: If AI can provide better, more cost-effective legal services, at what point does resistance to its use constitute malpractice?

Corporate lawyer Michael Pierson raised this issue, noting that his firm, Pierson Ferdinand, heavily utilizes AI tools and operates without associates. He questioned whether not using AI in the daily delivery of legal services could be considered malpractice, emphasizing that client service requires exploring technologies that lead to excellent work product.