CLOC, (the "Corporate Legal Operations Consortium"), recently held its 2018 US Institute to bring together the top legal operations professionals together in Las Vegas. By all accounts the event this year was a success both for attendees and sponsors. CLOC has grown to be one of the largest gatherings of corporate legal professionals in the world.
Servient was delighted to be on hand this year, and we found the event to be an excellent forum to exchange new ideas, meet new faces and reconnect with industry partners. We also had a chance to showcase the uses of our AI Platform by presenting a program titled “Practical Uses of AI in Legal Operations”, which focused on Halliburton’s use of the Servient AI Platform for compliance use cases. We were honored to have Dixon Sabin, Halliburton’s Director of International Trade Compliance, share the podium with us.
A video of our CLOC session will soon be released for interested professionals who were unable to attend the session. You can request access to this recording by clicking on the link provided at the end of this post.
We largely focused on discussing AI workflows for corporate legal and compliance departments. The overall purpose was to detail what a typical supervised machine learning workflow consists of and provide attendees with a real-life example of how corporate legal organizations can design, implement and manage the internal acceptance of AI for practical use cases.
To begin with, we reviewed the working definitions of both AI and machine learning and explained the three categories of machine learning use cases (process automation, cognitive inference, and cognitive engagement). We also explained what supervised and unsupervised machine learning are, and discussed the concept of ‘deep learning’. Then we dove into an analysis of Halliburton’s actual implementation of AI for automation of some of its ITC-related tasks.
Another major aspect of our program was consideration of the internal hurdles that legal operations teams face when advancing a proof of concept incorporating AI. These challenges include skepticism, arguments over human versus machine error, concerns over automation attempts that have failed, and questions about staffing impacts. A review of Halliburton’s ROI detailed the efficiencies that can be gained when an organization is able to clear these hurdles.
CLOC has put together a strong industry event that will undoubtedly continue to grow in the future. We were pleased to engage with the many legal operations professionals both during our educational session and on the show floor. While there will always be opportunities to provide a more varied set of session offerings, we walked away feeling it was a very worthwhile investment and are already looking forward to engaging with legal operations professionals again next year.
Coming next on our blog, we will begin a series of posts considering how AI intersects with POCs (proofs of concept) and how the most can be made of these opportunities by corporate legal operations. So stay tuned for more from Servient!