Legal AI takes many forms, and is particularly useful in tasks that involve answering standard and recurring questions from information contained in significant data sets. The following are examples of what that looks like in a real-world law firm:
- eDiscovery. Legal AI has perhaps seen the most success in the realm of eDiscovery. Since businesses have gone digital, they’ve been producing incredible amounts of data that needs to be analyzed, quickly outpacing the capacity for human review. These high-volume data situations are where AI works best, handling the underlying analysis cheaply and accurately, and leaving humans to handle the high-level review that requires experience and judgment.
- Contract review. As with eDiscovery, AI is well suited to assisting with large-scale contract reviews, because it involves analyzing vast quantities of data with a high level of accuracy. Whether you’re looking to identify certain provisions or get a larger sense of common market terminology, AI can do it at speeds that humans could never hope to meet.
- Legal research. Much legal research involves discrete questions with specific answers – for example, what are the elements of X crime in Y state? Rather than calling up a list of documents that potentially answer that question, AI-based technologies like Westlaw® Answers provide concise answers with links to authority, saving precious research time.
Source: Above The Law