publication of the International Legal Technology Association
Issue link: https://epubs.iltanet.org/i/1519635
I L T A W H I T E P A P E R | S E C U R I T Y & C O M P L I A N C E 19 S E C U R I N G T H E U S E O F A R T I F I C I A L I N T E L L I G E N C E A N D M A C H I N E L E A R N I N G ( A I / M L ) I N L E G A L S E R V I C E S T he emergence and rapid development of Artificial Intelligence (AI) and Machine Learning (ML) within legal services is creating extraordinary opportunities for legal professionals. Many law firms and legal entities eagerly embrace AI/ML technologies to assist with tasks like research, document analysis, and case prediction. While these advancements are revolutionizing branches of the industry and generating unparalleled excitement within various circles, other groups of legal professionals are reluctant to consider the potential benefits of incorporating AI/ML tools into their daily workflow. Mapping the multitude of causes driving this dichotomy between excitement and timidness around AI/ML advancements among legal professionals exceeds the parameters of this project. However, we can identify and carefully consider one of the more subtle motivators generating reservations around normalizing AI/ML within legal sectors. The fact that AI/ML tools exceed the limitations of human capabilities in several areas is quickly becoming common knowledge. Moreover, these technological advancements have reached a point where AI/ML directs machines to learn, adapt, and understand data in ways that mimic or surpass human intelligence. AI allows the computer to think, learn, and problem-solve like humans, while ML constructs algorithms to learn from the data. Although AI/ML has been around for decades, only now is the technology presenting responses typically indicative of self-aware beings; it wants to be acknowledged and understood. While this development has raised relevant concerns, some reluctance around AI/ML adaptation may stem from a sense of human vulnerability. When preconceived ideologies are set aside, it becomes clear that many fear-based responses to AI/ML are rooted in its levels of efficiency that surpass human capabilities. The reality is that the increased efficiency provided by AI/ ML tools can reduce organizational expenses, minimize errors, and eliminate the need for extensive revision processes. One of the most compelling aspects of AI/ML in the legal field is their ability to revolutionize traditionally time-intensive tasks like research and data analysis. They can sift Securing the Use of Artificial Intelligence and Machine Learning (AI/ML) in Legal Services by David Whale