Published online by Cambridge University Press: 18 February 2022
In recent years, the legal informatics area has slowly begun to develop as artificial intelligence and its related techniques and technologies expand their reach in the field of law. The legal, computational and data science communities are collaborating to build computational and data-driven innovative legal models to improve and advance all aspects of the existing legal system with the effective use of modern computer technologies such as machine learning, deep learning and natural language processing. In this research paper, the authors - Sugam Sharma, Samia Gamoura, Deva Prasad and Arti Aneja - explore these important factors with the potential to transform the existing approach to jurisprudence into a smart and intelligent legal system utilising automation. Such a justice system could be envisioned, in the near future which would be faster, fairer and economically more feasible, even for the highly marginalized, underprivileged and poor societies in the world.
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