Jeremy Schaper, Chief Technology Officer of BlueStar Case Solutions, joins George Socha, Senior Vice President of Brand Awareness at Reveal, for ACEDS #eDiscoveryLeadersLive.
Jeremy started the discussion talking about the topic of the moment, ChatGPT. From there he turned to how he and his colleagues help eDiscovery clients work with M365 and Google Workspace content, including what is and is not searchable within those systems and ways to craft effective search terms to get through that content. Next, Jeremy discussed challenges posed by short messages and way to address those challenges. Finally, Jeremy gave his thoughts on an ideal solution for dealing with short messages.
Jeremy Schaper is a Partner and Co-Founder of BlueStar, where he also holds the position of Chief Technology Officer. With over 18 years of experience in legal industry software instruction and consulting, Mr. Schaper has provided guidance to top law firms and corporations throughout the United States. His extensive expertise in managing large-scale eDiscovery projects has been invaluable in high-profile cases, such as serving as an eDiscovery and social media special master to the court for the EEOC v. Original HoneyBaked Ham Co of Georgia, Inc. matter. Mr. Schaper has also acted as an expert witness and consultant for numerous cases, including FDIC cases involving failed banks.
Mr. Schaper's educational background is equally impressive, holding a B.S. in Mathematics/Education from Illinois State University. Furthermore, his credentials are unmatched, holding the coveted Certified E-Discovery Specialist (CEDS) issued by the Association of Certified E-Discovery Specialists (ACEDS). As an innovative and forward-thinking leader in the legal industry, Mr. Schaper is a court-appointed Special Master of EDD and poised to make significant contributions to BlueStar and the legal community as a whole.
“It’s more of how we can embrace [ChatGPT] and what can we see future-wise…. For me, I see it as something we definitely have to pay attention to.”
“I see uses in [ChatGPT] for possible QC, eventually to pinpoint more documents and to help us evolve our review, just like CAL, just like technology-assisted review, adding it into that fold in a way that it can help us target and also find errors in our production or help us evolve our thinking in terms of what we’re looking for.”
“One of the big gotchas with both [M365 and Google Workspace] is running terms on those programs might not be your best-case scenario. They don’t index everything, so when you’re trying to find data, when you’re doing date filtering, that’s great; when you’re looking for specific custodians, that’s great; maybe some high-level searches to pull data. But understanding what happens to the data you can’t search, keep that in mind.”
“I wouldn’t run [eDiscovery] search terms on Google Workspace because it isn’t one that identifies the non-searchable data and there’s definitely non-searchable data…. I would say let’s just do date filtering, let’s target specific custodians, but definitely not run search terms in there.”
“[When working with short messages], that’s what all of us want, we want a document…. That’s what we want and we’re trying to fit text messages into that mold.”