Artificial Intelligence and the Future of the Legal Profession
Ahmad Amr
Public Law - Faculty of Law - The British University in Egypt
Abstract
Artificial Intelligence and the Future of the Legal Profession Abstract The aim of this paper is to discuss the impact of Artificial Intelligence on the legal field. Artificial Intelligence has a strong role in the legal arena. AI has a great effect on changing how law is being practiced. On the one hand, several legal tasks, that have for long been delivered by highly skilled lawyers, are currently being carried out by digital lawyers such as legal drafting, contract reviewing, and due diligence. On the other hand, issuing final decisions in legal cases are now performed by ‘artificial judges’, as China and Estonia have already started launching AI-powered courts. Those unprecedented developments are changing the core of lawyering in its traditional sense. Considering these growing developments, this paper will further explain what Artificial Intelligence is and how it is currently being deployed in the legal field and the possible effects it could have on promoting investments. Exploring the Chinese and Estonian experiments in integrating AI technologies within their legal system will be insightful as they are pioneering states in this regard. Additionally, the paper will include a review of top start-ups that successfully automated legal tasks. Governments across the MENA region have come to realize the importance of AI and its positive impacts on FDI and overall economic growth. Thus, we opted to highlight how the legal systems of the region embraced these new technologies for their best interest. The ultimate goal of this paper is to enlighten its reader on how AI could affect law as a profession and hence allows for less expenditure on legal services and better outcome; consequently, robust economy and more attraction to FDIs. Keywords: Law, Artificial Intelligence, Legal Tech, Natural Language Processing, Text Mining.
Keywords
Artificial Intelligence, Law, legal tech, Natural Language Processing, Text mining
