P&L executives concerned with managing legal risk and controlling legal costs should know that artificial intelligence (AI) promises greater accuracy and lower costs in litigation tasks. If and when the legal industry adopts the technology.
And last month some of this promise appears to have been realized in some concrete, and economically accessible, terms. Again, conditional on actually acceptance and use of this AI.
For a business, litigation is (usually) a huge waste of money. And a large chunk of this wasted money goes to formal requests that lawyers make to judges. Requests that they and their adversaries spend lots of time (read “money”) fighting over in front of a judge.
It’s called “motion practice”: Your honor, please dismiss this case; please exclude this testimony; please make my adversary give me the papers in their files that I want to look at; etc.
In a legal industry where the number of hours billed (usually) defines value, this typically results in each law firm assigning not just a litigation veteran whom they put in charge of the case — but also multiple, less-experienced attorneys to maximize those hours billed.
How do these less-experienced attorneys fit in here? Happily (for the legal industry’s business model at least), “motion practice” requires lots of what those recent law grads were trained to do when still in law school: Researching cases, statutes, and rules; and creating “briefs” that describe why those legal authorities require that their client’s requests (via this “motion practice”) should be granted.
Late last month, Casetext, a legal tech firm known for its artificial intelligence (AI) research tool “Case Analysis Research Assistant” (CARA), announced “Compose”, their automated brief-writing product.