Role of Artificial Intelligence in Transforming the Justice Delivery System in COVID-19 Pandemic
Chandra, G., Gupta, R. and Agarwal, N. (2020). Role of Artificial Intelligence in Transforming the Justice Delivery System in COVID 19 Pandemic. International Journal on Emerging Technologies, 11(3): 344–350.
7 Pages Posted: 7 Jun 2020
Date Written: April 20, 2020
Artificial intelligence is programmed on computers to depict human intelligence. It has created a huge hype and has evolved to revolutionize almost every profession including legal sector. New lawful simulated AI programming software like Ross intelligence and Catalyst along with Machine Learning and Natural Language Processing give viable fight goals, better legitimate clearness, and better permission to justice and new difficulties to ordinary law firms offering legal assistance utilizing leveraged cohort correlate model. Also, AI enabled lawyer bots are performing tasks that normally requires human intellect and needs to be performed by lawyers. In such a situation, a question strikes- Will these lawyer bots replace human lawyers? This question becomes all the more important in the present scenario when the whole globe is facing challenges imposed by global pandemic “COVID-19”. How is COVID-19 going to change the justice delivery system, and what does it look like? Therefore, this study is conducted to evaluate the role of artificial intelligence in transforming the justice delivery system post COVID-19. The study tries to examine the various areas in which AI is affecting the legal profession, evaluate the extent of its impact on the legal employment, assess the tasks in legal sector which cannot be undertaken by AI, and discuss the legal issues in the implementation of AI. The study also suggests the way forward with regards to the future of legal sector to help practitioners and researchers
Keywords: Artificial Intelligence, COVID-19, Lawyers, Legal Sector, Machine Learning, Natural language Processing, Justice system & dispensation. Abbreviations
Suggested Citation: Suggested Citation