• If even you’re casually interested in AI, check out this list of the biggest AI milestones achieved in 2018. E.g., from Microsoft: “Hitting human parity in a machine translation task is a dream that all of us have had. We just didn’t realize we’d be able to hit it so soon.”

  • I can’t wait to see a demo of this. Neota Partners With Legal Consultants for AI-Based Billing Tool. “Neota Logic and legal pricing consultants Burcher Jennings and Validatum teamed up to launch Virtual Pricing Director, a collaboration years in the making.”
  • Here’s more news from Neota Logic: Legal tech education: Neota partners with

As I speak and publish on the subject of Artificial Intelligence in the legal industry, the question I am asked most often is “How do I start? What is the best way to begin my (or my firm’s) participation in this change?”

binary-1538718_640For attorneys working in law firms, the best way to begin is to is to develop an algorithm to predict which of your clients are most likely to need which of your services in the near future. (Some may quibble that this is not full blown AI, replete with neural networks, machine learning and natural language processing, but it’s a fine way to start.) The legal services potentially needed can include just about anything from a transaction (perhaps an opportunity created by regulatory changes) to a dispute (e.g., filing of a shareholder class action).

The exercise described below will make your marketing more efficient in that you will be pitching your services to those most likely to be in imminent need. It will benefit your clients in that you will not be wasting their time, and you’re likely to alert them to an upcoming risk or opportunity of which they would not otherwise be aware.

In the example of a possible shareholder class action, here are the steps I suggest you take:
Continue Reading Using Artificial Intelligence for Predictive Client Targeting