Pranav Singh reached out to me, as he is a data scientist working with Ravel Law for analyzing law related datasets. It seems like an interesting vertical of applying big data analytics to court decisions.
Recently Ravel Law started to incorporate graph data into their analysis. While some of their research is proprietary, they where kindly willing to share some published results. Pranav sent me a paper by Fowler which is named "Network Analysis and the Law". It shows that using basic pagerank algorithm (hub / authorities) you can get very deep insights into supreme court decision and their importance. The algorithm is rather basic but the applications for the Law vertical are rather new, at least to me.