But recent studies put these fears to rest. The World Economic Forum has predicted that Artificial Intelligence will create 60 million jobs more than it eliminates within the next three years. The Bureau of Labor Statistics states that in the automotive industry alone, AI is likely to create 6 percent more jobs, especially for auto service technicians and mechanics. Another study by PwC discovered that there will be a boom in legal jobs once the use of AI becomes ubiquitous. Although assembly line jobs will be replaced by AI, the employees who originally executed them will be redistributed to other, more challenging roles to bring more value-addition to their firms.
Human In The Loop (HITL)
Without supervision, AI algorithms are only 80 percent accurate; it is human input that increases the algorithm’s assessment confidence and moves the AI’s potential closer to actual intelligence. Once the algorithm completes its initial assessment, humans can finetune it and feed their inputs into the algorithm, helping it evolve. The HITL model is not devoid of drawbacks though, since the algorithms don’t recognize human error. This makes room for a new and improved model – the Expert In The Loop (EITL).
Expert In The Loop (EITL)
Expert In The Loop model comes with the facility to measure an individual’s aptitude
and even document his/her errors for future reference. While HITL uses inputs
from many individuals without considering their relevance in the
decision-making process, EITL recruits experts specializing in particular
domains for assistance with associated supervisory tasks. HITL uses the ‘Law of
Averages’ i.e. if many people’s inputs are used, the average result is correct.
It is the way to go if one is looking for quantity over quality. EITL, on the
other hand, makes for easier audits, intelligent algorithms, and more confident
Executing AI in the legal industry has been tricky and this has led to an Expert In The Loop model where expert supervisors educate and train AI, leading to a low-risk, highly productive, and thriving law practice. This leaves the attorneys to perform tasks that are uniquely human and essentially, what they are good at.
At LegalEase, we are constantly aware of automation advances and strive to utilize third-party tools to develop technology-abled solutions for our clients. We use proprietary CORE research and activity automation engines to reduce human involvement and error, thereby streamlining processes and ensuring our clients the fastest, most accurate results. We work with leading AI technology that enables our clients complete control over their projects, reduces susceptibility to risks, optimizes spend, and improves decision making. If you’d like to optimize your legal functions, feel free to reach out to us at email@example.com. Our team of expert attorneys is happy to help.