AI in Law: More Work or More Efficiency?

The legal profession, long seen as resistant to technological disruption, is now grappling with the profound impact of artificial intelligence. On the latest episode of the Odd Lots podcast, hosts Joe Weisenthal and Tracy Alloway welcomed Gary Wingens, Chair of Lowenstein Sandler, a prominent law firm, to discuss how AI is reshaping legal work, from the mundane tasks of discovery to the strategic thinking behind complex deals.

AI as a 'Thought Partner' for Lawyers

Wingens highlighted that AI is not just about efficiency gains; it's also acting as a crucial 'thought partner' for lawyers. Unlike previous technological advancements that primarily streamlined processes, AI offers a new dimension by assisting in problem-solving and enhancing the quality of work product from the outset. This dual role is transforming how legal services are delivered.

The Enduring Billable Hour and Alternative Fees

A long-standing point of contention in the legal industry is the dominance of the billable hour model, which often draws complaints from both lawyers and clients for its perceived inefficiency. Wingens noted that while there's been a push towards alternative fee arrangements for over 15 years, these haven't fully taken hold. He speculated that a lack of mutual trust between lawyers and clients, coupled with the desire for transparency in billing, contributes to the persistence of hourly rates. However, he acknowledged that clients are increasingly seeking value and solutions rather than simply buying hours.

The full discussion can be found on Bloomberg Podcast's YouTube channel.

The Jevons Paradox in Legal Services

The conversation touched upon the concept of the Jevons Paradox, suggesting that increased efficiency might not necessarily lead to less work, but rather to an expansion of activities. Wingens observed this in the legal field, where reduced costs for certain tasks, like trust agreement reviews, have made previously uneconomical projects viable, thus increasing overall demand for legal services. He also drew parallels to the ballooning costs of e-discovery, which AI has the potential to drastically reduce, thereby changing the calculus for litigation.

Impact on Junior Lawyers and Training

A significant portion of the discussion focused on the implications of AI for early-career lawyers. The fear that AI might displace junior associates is tempered by the argument that tedious tasks are being automated first, freeing up junior lawyers to engage in more complex and interesting work sooner. Wingens admitted that law firms are still figuring out how to train new lawyers without the traditional grunt work, but acknowledged that the focus is shifting towards hands-on training with AI tools.

The Evolving Tech Stack and Security Concerns

Wingens detailed the firm's adoption of AI tools like Harvey and Microsoft Copilot, emphasizing the critical importance of security and ethics. He highlighted that specialized legal AI platforms offer robust security layers that protect sensitive client information, a stark contrast to the potential risks associated with using consumer-grade AI models that might compromise attorney-client privilege. The firm is also exploring how AI can ingest and analyze internal data to create playbooks and improve work product.

The Future of Legal Pricing and AI's True Cost

Looking ahead, Wingens predicted a shift towards project-based or outcome-based pricing, especially as AI makes hourly work more productive. He anticipates a continued increase in hourly rates at top-tier firms, even as the overall cost of solutions for clients decreases due to AI-driven efficiency. However, the true cost structure of AI remains somewhat opaque, with the transition from 'all-you-can-eat' pricing to token-based models potentially leading to sticker shock for some firms, highlighting the ongoing uncertainty about the optimal balance of labor and capital in the AI-augmented legal future.