Andrew Arruda writes for LLRX about a study which shines light into the real black box problem in legal research.

“The good here is that this study put the six legacy services to the test. The goal of the article was, “in part, a call for more algorithmic accountability.” This search for great accountability was interesting, as it mirrored one of the greatest criticism folks have towards AI — that they can’t trust the “black box” nature of some machine learning techniques. What always puzzled me was the fact that everyone is currently living with mysterious black boxes when it comes to legal research due to the unknown human-made decisions that go into how results are shown when searching on any legacy legal research software tool.”

Read more here.