Legal process usually lags behind commercial application of new technology. Here’s a discussion about a potential use for AI, but why it’s difficult to implement…:
[…]In a recent study published in Nature, researchers from the Lawrence Berkeley National Laboratory used an algorithm called Word2Vec to read scientific papers. The algorithm was given no training in scientific knowledge, instead relying only on word associations. While reviewing over 3 million previously written scientific papers and looking for associations humans may have previously missed, the AI led researchers to knowledge that existed but wasn’t apparent without the help of machine learning.
Vahe Tshitoyan, the lead author on the study, stated, “This algorithm is unsupervised, and it builds its own connections.” Because it’s not trained on a specific dataset, you could easily apply it to other disciplines. He continues, “The information is out there. We just haven’t made these connections yet, because you can’t read every article.”
But any shadow of a doubt can throw a court case into question, which is why bringing AI into the legal sphere is tricky at best. This very well-considered and in-depth article in Law360 discusses why AI Tools need to be litigation ready or “discovery in a lawsuit contesting decisions those tools have made could quickly become a nightmare: Your company may suffer enormous distractions and decreased productivity as it struggles to address litigation requirements that are inconsistent with its AI systems, data and culture; may be subjected to onerous court orders that interfere with its ability to conduct its core businesses; may even suffer adverse judgments on claims that lack merit.”