Using Data, Networks and A.I. to Build a Future-Ready Practice

What does the future hold for legal professionals in a world of Big Data and A.I.? How can lawyers work together to form networks that take advantage of each individual’s skill-sets and experience, with smart intake channels and A.I. assisted referrals leading to the ability for those individuals to effortless attract the right opportunities for personal and professional development? This workshop will be an interactive presentation designed to elicit and address the opportunities and challenges of growing an agile, sustainable legal practice in a volatile, uncertain world.

This CLE is approved for credit through December 20, 2019.

Presenter:
Tony Lai
After passing the bar in England, Tony Lai spent half a decade in legal practice at an international law firm, before reinventing himself as a legal technology entrepreneur and community organizer in Silicon Valley. He has led and contributed to the development of leading networks of Stanford entrepreneurs (StartX), legal technology researchers and practitioners (CodeX), and intentional co-living communities (Embassy Network). Now, as the CEO and cofounder of Legal.io, he is helping to build the largest network of legal professionals focussed on building future-ready practices, partnering with bar associations like the New York State Bar Association, legal service non-profits like California Lawyers for the Arts, and legal incubators like Lawyers for Equal Justice, to support their members in building practices that take advantage of the latest developments in legal service delivery technology and A.I. assisted referral management infrastructure. In 2017, the incoming President of the American Bar Association appointed Tony for a 3 year term to the ABA’s Standing Committee on the Delivery of Legal Services. Tony holds Bachelors and Masters Degrees from Oxford University, and graduated from Stanford University with a Masters in Law, Science and Technology.


CLE Credits:

1.0 Standard CLE Credits approved | Event Code: 250930

Cost:
MSBA Members:  $29.95
Non-MSBA Members:  $64.95

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Price:

$64.95