Advancements in generative artificial intelligence systems, particularly in large language models such as ChatGPT, have raised intriguing questions about their application in the legal industry. One significant area of interest is the possible use of these models for document review processes, notably in large corporations and major law firms.
As legal professionals increasingly adopt technology assisted review (TAR) in their operations, more scrutiny from courts is bound to follow. Manual, linear document review is already under immense scrutiny; introducing artificial intelligence into the mix will only intensify this. Thus, parties that rely on large language models for document review should anticipate additional attention.
This heightened scrutiny necessitates an equally significant focus on quality control and validation. Proper validation ensures the technology’s efficiency and accuracy in yielding the intended results, which could prove crucial in any legal setting. Legal professionals must remain vigilant about instituting robust quality control measures to address any potential errors or limitations these AI models may present.
As technology continues to penetrate different sectors, this trend is not only expected in the legal industry but also inevitable. Not only does AI provide a more efficient way of doing things, but it also introduces a new dynamic to legal practices that can result in more accurate and fast outcomes.
This subject of large language models and document review is part of a broader discussion happening in the legal profession today. For more information on this, the details are explored in an article written by Daniel Kelly, Colleen Kenney, and Matt Jackson on Law360.