San Francisco Agenda

All times below for the listed sessions are Pacific Time.

Day 1

8:00AM - 9:00AM

Registration will be open. Please bring your registration form. 

8:30AM - 9:30AM
Track 1

Embracing the ever changing world of Legal Technology and steps to make sure you are not left behind. 

8:30AM - 9:30AM
Track 2

Selecting a vendor can be very time consumming. Learn the multiple solutions from experts that deal with this issue. 

9:45AM - 10:45AM
Track 1

Your personal life is more automated. The world of technology is moving at light speed towards automation. Prices are dropping at a staggering rate. Learn more how you can use the same principals to build an automated legal system.

9:45AM - 10:45AM
Track 2

The technology has arrived. Machine Learning and how it will impact your case. Analytics in our Community covering the pros and cons of the latest trends.

11:00AM - 12:00PM
Track 1

 Privacy is one word that means a thousand things to companies, law firms, government agencies and law enforcement.  The new world of the EU/US Privacy Shield and the GDPR

11:00AM - 12:00PM
Track 2

 Social Media is the defining factor of many legal cases. It can be the new smoking gun. How the future of social media will impact you. Are you ready?

12:15PM - 1:35PM
Data Science: The new buzz word or next iteration of Machine Learning? Explore the application in Discovery and Information Management.
1:45PM - 2:45PM
Track 1

You have an Information Governance plan? What is the next step in implementing and executing an IG program and how it can help you do your job?

1:45PM - 2:45PM
Track 2
The acceleration of data creation in today's business world coupled with the requirement to understand, manage, and act on information throughout its lifecycle presents a challenge to information governance and legal discovery professionals seeking to balance process, products, and outcomes. This panel and presentation led by eDiscovery Daily Blog author and eDiscovery expert Doug Austin will provide attendees with an overview of data discovery and legal discovery and help them frame the lifecycle of data through the lens of data and legal discovery objectives, tasks, and tools.
 
Panel Highlights Include:
 
+ The Objectives of Data Discovery and Legal Discovery
+ A Framework for Approaching Discovery 
+ The Difference Between Insight and Intelligence
+ Considering Data from the Point of Creation to Collection
+ Considering Data from Collection Through Defensible Disposition
+ Tasks and Tools For Effective Discovery
+ From Manual Management to Automated Approaches
+ Reprise: A Holistic Approach to Discovery
 
Panel Presenters (Current) Include:
 
Moderator: Doug Austin
 
Doug is the VP of Ops and Professional Services for CloudNine. At CloudNine, Doug manages professional services consulting projects for CloudNine clients. Doug has over 25 years of experience providing legal technology consulting, technical project management and software development services. Doug is also the editor of the CloudNine sponsored eDiscovery Daily blog.
 
Panelist: Julia Romero Peter, Esq.: 
 
Julia is General Counsel and VP of Sales with CloudNine. At CloudNine she leads the sales team and has extensive experience in information governance, data discovery and legal discovery. Julia received her J.D. from Rutgers Law School - Newark, and her B.A. in History with a minor in education from Columbia University - Barnard College.
3:00PM - 4:00PM
Track 1
In-house cybersecurity. Internal Privacy, External Privacy, and the future cases that you will need for the changing legal market landscape.
3:00PM - 4:00PM
Track 2
Cybersecurity, eDiscovery, and Your Outside Counsel: What you don't know will hurt you.
4:15PM - 5:30PM
Track 1
Data Science: The new buzz word or next iteration of Machine Learning? Explore the application in Discovery and Information Management.
4:15PM - 5:30PM
Track 2
FRCP: Amendments to the Federal Rules of Civil Procedure: It will always be in play and will always be changing. What you need to know about the latest rulings.
5:50PM - 7:00PM
Happy Hour