Can AI Help In Making The Indian Judicial System More Impartial?

Date posted: Monday 24 July 2017

We all know there are lots of problems with the law machinery today. The process is painfully slow and the delays are interminable. Judgments are often unpredictable and uncertain, and it’s often not possible to predict the outcome of a dispute on a rational basis. Also, lawyers, as well as judges today, are overloaded. This Is Where AI Can Come In To Help The Indian Judicial System. We now have massive databases which have archived all the judicial system which have been passed in a particular domain over many years. These summarize the pleadings of opposing lawyers, as well as the final reasoned order which the judge has passed, so we have well-defined inputs as well as outputs. These can serve as training sets and using supervised machine learning, algorithms will be able to describe what reasoning was used by a particular judge in a particular case to pass a particular order. AI will not replace judges – it will become the tireless, irreplaceable, and cost-effective complement of judges, giving them more time to focus on the complexities of individual cases. These programs could help lawyers in the Indian judicial system, as well. Not all lawyers have easy access to legal research and law libraries, but these algorithms will allow them to prepare better arguments, because they will have access to the relevant statutes, case law, and precedents.

(Inc42)

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