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Artificial Intelligence and legal ecosystem: the new challenge

Abstract

The professional activities in the last years have changed, moving through the use of digital resources, hardware and so ware, email, host-ing environments, business processes and so on. Nowadays, any professional has to confront with technological resources, digital environment , devices, Internet and networks. In the professional legal context there are many entities involved: professionals, Bar Associations, Bar Council, public bodies, clients, security funds, judicial system, banks, and more. This represents a true legal ecosystem, that is an environment within which is generated daily a very big data traffic. There are legal issues related to privacy and data protection that can be addressed by Software Management System. A Privacy Management System (PMS) is a software system working on the PbD principles and structured on the AI and ML principles. In the following paragraph it will be presented the solution. At the same time in a legal ecosystem an expert system software helps professionals; this software learns after each research reducing more and more the margin of error. In a few time a lawyer will have a powerful professional automate assistant by which earn time and money, but with a high level of competence mainly on the contents.

Key takeaways

  • This analysis is focused on the following topics: privacy and security risks in the legal echo-system, Big Data and data analytics in the legal domain, data mining applied to the legal domain according to the privacy law, a proposal to develop an intelligent support systems for the legal domain.
  • By this way it might seem that the Artificial Intelligence (AI) is a current discovery, even the 2017 news.
  • Given this scenario, AI and ML could contribute to the goal to prevent risks and offer an adequate data protection setting up a software system capable to manage data flows according to the privacy law principles.
  • It will be up to consumers, regulators, and privacy professionals to convince the business sector that understanding the risks related to the IoT and Big Data will produce the same business opportunities to protect privacy and increase the quality of life.
  • The application of the AI and ML resources to the legal domain is a goal achievable.