Byte of Prevention Blog

by Jay Reeves |

Computer Predicts Trial Outcomes with 79 Percent Accuracy

AI Are we getting closer to using computers instead of judges to decide case outcomes?

A recent study seems to suggest as much.

In the study, researchers fed data on 584 actual cases that had been brought before the European Court of Human Rights into a machine-learning algorithm. The information included topics, circumstances and factual background on each case.

Based on this data, the computer model was able to predict the actual results of the cases with 79 percent accuracy.

Interestingly, the strongest predictive variables were the facts of the case. Legal arguments of counsel were far less helpful.

Improving Court Administration

Observers say the results – in addition to showing how far artificial intelligence has advanced – could help prioritize cases before bodies like the Human Rights Court and identify which matters are most likely to pose serious violations.

“We expect this sort of tool would improve efficiencies of high level, in demand courts,” said one of the scientists.

“We don’t see artificial intelligence replacing judges or lawyers,” said University College London computer scientist Nikolaos Aletras in this press release. Alestras collaborated with researchers from the University of Sheffield and the University of Pennsylvania.

Read the study, published in PeerJ Computer Science, here.

Sources:

University College London https://www.ucl.ac.uk/news/news-articles/1016/241016-AI-predicts-outcomes-human-rights-trials

About the Author

Jay Reeves

jay.reeves@ymail.com | 919-619-2441

Jay Reeves practiced law in North Carolina and South Carolina. Over the course of his 35-year career he was a solo practitioner, corporate lawyer, legal editor, Legal Aid staff attorney and insurance risk manager. Today he helps lawyers and firms put more mojo in their practice through marketing, work-life balance and reclaiming passion for what they do. He is available for consultations, retreats and presentations.

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