Automation in the Field of Law

The problem of automation in the field of law is cited in our world The problem of automation should be a question worth seriously considering. In the days when technology seems to outperform our population at an astonishing rate, our global automation is not a radical concept. In the near future, every aspect of our society is expected to include some kind of automation. But accurately it is automation. Webster's College Student Dictionary defines automation as "processing and manufacturing materials automatically, especially if part of the manual process is not completed."

At the same time, we are looking at the degree of automation in certain areas of law. One of the most obvious examples is the task of fighting a parking penalty by Do Not Pay chat robot by turning over thousands of parking tickets and saving over 9.3 million dollars fee without looking for a lawyer It is to be completed automatically. Legal professionals are still developing in India and there will be new and interesting developments in the near future, but these developments do not completely replace the lawyer's work, need analysis and stratification It is efficient. Automate various administrative processes

Littler Mendelson is one of the world's largest companies specializing in labor laws and has organized independent teams responsible for robotics and artificial intelligence. In the company's forecast, the laws in this area will change rapidly, robots and automation systems will dominate the low-cost labor market. Media around the world recently reported that Facebook decided to delete algorithms written in languages ​​not developed by human programmers. The existence of a self-improvement mechanism (such as Facebook) that relies on deep learning to allow a computer program to self-learn can have widespread legal consequences.

Since the days of SHRDLU, automatic planning has steadily developed in the field of artificial intelligence. The automated planner was used by NASA's robot, played computer games, and in particular beat Humans with Go. The application of modern search technology and machine learning to this problem completely changed the field.