And Then AI Came for the Lawyers…?

Matt McCord, MJLST Staffer

 

Artificial intelligence’s possibility to make many roles redundant has generated no small amount of policy and legal discussion and analysis. Any number of commentators have speculated on AI’s capacity to transform the economy far more substantially than the automation boom of the last half-century; one discussion on ABC’s Q&A described the difference in today’s technology development trends as being “alinear” as opposed to predictable, like the car, a carriage with an engine, supplanting a carriage drawn by a horse.

Technological development has largely helped to streamline law practice and drive new sources of business and avenues for marketing. Yet, AI may be coming for lawyers’ jobs next. A New Zealand firm is working to develop AI augmentation for legal services. The firm, MinterEllisonRuddWatts, looks to be in the early stages of developing this system, having entered into a joint venture agreement to work on development pathways.

The firm claims that the AI would work to reduce the more mundane analytic tasks from lawyers’ workloads, such as contract analysis and document review, but would only result in the labor force having to “reduce,” not be “eliminated.” Yet, the development of law-competent AI may result in massive levels of workforce reduction and transformation: Mills & Reeve’s Paul Knight believes that the adoption will shutter many firms and vastly shrink the need for, in particular, junior lawyers.

Knight couches this prediction in sweetening language, stating that the tasks remaining for lawyers would be “more interesting,” leading to a more efficient, more fulfilled profession engaging in new specialties and roles. Adopting AI on the firm level has clear benefits for firms looking to maximize profit per employee: current-form AI, according to one study, AI is more accurate than many human attorneys in spotting contract issues, and vastly more efficient, completing a 90-minute task in 30 seconds.

Knight, like many AI promoters, claims that the profession, and society at large, should embrace AI’s role in transforming professions by transfiguring labor force requirements, believing AI’s benefits of increasing efficiency and work fulfillment by reducing human interaction with more mundane tasks. These words will likely do little to assuage the nerves of younger, prospective market entrants and attorney specializing in these “more mundane” areas, who may be wondering if AI’s development may eliminate their role from the labor force.

While AI’s mass deployment in the law is currently limited, due in part to high costs, experimental technology, and limited current applications, machine learning, especially recursive learning and adaptation, may bring this development firmly into the forefront of the field unpredictably, quickly, and possibly in the very near future.