For many years, litigators have relied on the probative value of document metadata to define gross relevancy, pinpoint the who what and when of essential facts and shape ESI request before during and after 26(f) conferences. More recently, our legal community has employed artificial intelligence to analyze document metadata and complex word associations (word vectors) and predict what is important and relevant to the resolution of our clients' disputes. It doesn’t matter what you call our new document and metadata analysis tools; Artificial intelligence (AI), Predictive coding or TAR 2.0, the results are clear. New technologies allow litigators to deliver more effective, efficient and inexpensive dispute resolution. Document metadata and AI has moved us 1 step closer to the prime directive of civil procedure, Rule #1, Just, Speedy and Inexpensive client services.