Description:

About the role:
Casetext is looking for an attorney with 1-3 years of litigation experience, or experience working in a law firm's library or KM department, to join our reference attorney team. Your job will be to help our customers use our suite of A.I.-based software products to conduct legal research and identify relevant legal authorities. You'll join one of the most-awarded and fastest-growing companies in the legal technology market. This job is entirely remote.

As the Reference Attorney You Will:
  • Train our customers on how to use our suite of A.I.-based software products, including hosting webinars and conducting customized training sessions for attorneys and law firms
  • Support our sales team in product demonstrations by providing product and legal research expertise
  • Conduct discrete legal research projects across diverse legal topics
  • Work closely with Casetext's support and customer success team to help troubleshoot customers' problems and drive customer success outcomes
  • Be a constant advocate for the product and steward of the Casetext brand

You Have:
  • Experience conducting legal research, either as a litigator, a judicial clerk, or as a law librarian in a KM department, is a must
  • Comfort with public speaking and answering questions live, in front of an audience, is a must
  • JD degree required
  • The ability to learn new software
  • Excellent verbal and written communication skills and love working with people
  • Fast learner and and comfortable developing expertise in new technologies
  • You're looking for an adventure in a law-adjacent, but not litigation practice role
  • You love legal research and have a demonstrated passion for taking on new substantive legal topics
  • An exceptional work ethic and you hold yourself and your work to an obsessively-high standard
  • You work well with autonomy and independence
  • You're drawn towards innovation, especially innovation in law
  • Great prioritization skills and cutting through tasks efficiently - you don't get fazed by a large quantity of information