One of the most widely discussed topics in 2018 was the rise of artificial intelligence in the legal space. Not to mention, the anticipation and, for some, fear of what the future might hold once AI becomes more advanced.
As AI solutions become more common within the legal industry, it’s important to understand the benefits it can have on everything from major research projects to tedious tasks.
Join us as we review:
- How the legal industry is using AI today
- The myths of AI in legal
- How it differs from machine learning, natural language processing, and search algorithms
- What to expect in upcoming years
Sherry KappelSherry has more than 30 years' experience in design, implementation, and change management, which surround content-creation technologies. She has written and spoken widely to address the needs, goals and strategies of document-intensive businesses, and is an expert in Microsoft Office applications. She was recognized by ILTA as Innovative Consultant of the Year in 2014, and as Vendor Thought Leader in 2017. Sherry is a member of the Document Lifecycle Evangelist team.
Matt JamesMatt James is a member of the Document Lifecycle Evangelism team where he spends most of his efforts on the lawyer’s work-stream. With 10 years in the legal technology field, Matt has been an advocate to law firms and their lawyer’s need for a harmonized technology ecosystem
As a Document Lifecycle Evangelist, Chuck advocates best practices and tools covering the complete document lifecycle. For over 35 years in legal IT, Chuck has worked for and with all sorts of professional practices, from sole practitioner to global enterprise. Whether as a developer, trainer, business process analyst, or consultant, in all of those roles, he has served as a translator between business users and technical professionals facilitating solutions to the practical needs of professional users and support staff, and the opportunities for IT departments to make a real difference for their end users.
Date: January 10, 2019
Time: 10:30 - 11:00 am CST | 16:30 - 17:00 BST