As demonstrated at past DESI workshops at ICAIL, advances over the past decade in artificial intelligence and machine learning have transformed the practice of e-discovery in making legal search more costeffective and efficient. Similar forms of data analytics now hold the promise of similarly aiding the legal profession across a spectrum of traditional activities, many of which consist of highly repetitive tasks. Law firms are not, however, incentivized to be more efficient if they are simply giving away the efficiency gains without reaping a benefit for themselves. In order to effectively apply data science to the practice of law, a new billing mechanism needs to be applied so that the efficiency gains benefit both the client and the firm, aligning their incentives. In this session, we will discuss how data analytics principles can best be applied to the practice of law, with an eye towards how AI methods are being used within law firms to complement human legal expertise. Illustrative use cases will include using AI in contract analysis, mergers & acquisitions, and employment and whistleblower investigations.