We kick off the second season with Jim Chiang, the CEO and Founder of My Legal Einstein.After having a relaxing summer break and resting our brains we are back with a bang!

Artificial Intelligence is such a hot potato in the legal industry it deserves an episode of its own. And there certainly can’t be value adding AI without design thinking behind it. We are joined by Jim Chiang who is a pioneer when it comes to AI and is now leading My Legal Einstein on its journey to help lawyers find better ways of working.

We lawyers are known for our not so functional ways of working. Most of our processes are based on manual work and we still do a lot of copy-pasting. A few years back there was a lot of discussion about whether or not the robots are going to take over the legal work but we are still at the place where we lack imagination of how to add AI to our work. But this is where Jim can help us lawyers. His examples are so practical that AI actually makes sense, finally. 

The  systems at the moment don’t include high-level reasoning or thought and computers can only do what us humans have taught them to do. One of the goals for Legal Design is to find better ways for lawyers to work so that we can focus on actual legal work and problem solving  instead of wasting our time copy-pasting. But how do we make sure that we don’t teach AI our bad processes and up with AI that just knows how to copy-paste? 

After talking to Jim, we can safely encourage you to set your alarm clocks for tomorrow morning, there is still a need for human lawyers and legal designers. But with the help of AI the future might be a little brighter for lawyers and other professionals working in the legal industry because AI can enhance our ability to perform our tasks and optimize our practices. Tune in to our discussion with Jim to learn what you can expect from AI.

Jim Chiang, CEO and Founder, My Legal Einstein – Before starting My Legal Einstein, Jim led the AI engineering teams at Conga and Icertis, the two market leaders in the CLM (contract lifecycle management) product space.  Jim has served multiple executive roles leading product and engineering organizations.  Jim has over 20 years of experience in big data analytics and AI algorithm development.  Jim holds a Bachelors of Engineering from MIT.