Just from a Natural Language perspective, this is amazing. By using the code as as a corpus, we can see how differently legal language differs from day-to-day parlance. Such an analysis might be fascinating, especially if we compare to word frequency in Google Ngram's historical index. I suspect legal language trails several decades behind modern lingo.
Semi-intelligent queries can be executed, such that ignorance of the law might be abated. Imagine saying "Siri, is it illegal to do X?" and Siri answering you. This is important, because of the "Three Felonies a Day" syndrome with unwitting violations of the law. http://www.amazon.com/Three-Felonies-Day-Target-Innocent/dp/...
There is a company that is doing something somewhat related and equally cool. They use NLP to identify who may have written particular portions of bills.
http://www.legcyte.com/
Semi-intelligent queries can be executed, such that ignorance of the law might be abated. Imagine saying "Siri, is it illegal to do X?" and Siri answering you. This is important, because of the "Three Felonies a Day" syndrome with unwitting violations of the law. http://www.amazon.com/Three-Felonies-Day-Target-Innocent/dp/...