Imagine a world where all of your legal problems could be resolved by a team of highly advanced, super intelligent computers at a fraction of the human cost – well, thanks to CaseCrunch, you could now be living in it.
CaseCrunch, a legal tech start-up based in the UK that utilises AI deep learning technology to formulate algorithm-based predictions on the outcome of legal cases, recently challenged 112 lawyers from separate firms across London to test their skills and see if they were able to beat the computer.
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CaseCruncher Alpha made legal predictions with over 20% more accuracy than human lawyers.[/caption]
The Lawyer Challenge, which ran in London from 20th-27th October, presented each legal professional with a set of unique scenarios regarding claims of miss-sold PPI and asked them to decide whether or not the case could be won based on their knowledge of the subject.
Astonishingly, out of the 775 predictions submitted in the contest, the final results judged by the Financial Ombudsman Service under the FOIA proved victorious for the AI CaseCruncher Alpha which achieved an accuracy level of 86.6% - over 20% higher than the lawyers who only managed to achieve 62.3%.
Managing Director, Jozef Maruscack, Marketing Director, Rebecca Agliolo and Scientific Director, Ludwig Bull are all co-founders of the company which is believed to have been started during their time studying Law at the University of Cambridge.
