We recently recorded the latest in the International Legal Technology Association (ILTA) webinar series - "How Big Data Can Solve Problems."
Today, law firms and in-house legal departments have access to
more data than ever. Understanding how that data might be leveraged to
improve legal operations, however, can prove challenging. This session
will show you how to create a model to predict duration and effort
associated with a portfolio of matters, and then optimize team selection
decisions to minimize the total cost of working the portfolio to its
conclusion. Using little more than simple accounting and hours data, our
case study will combine a number of concepts discussed in the previous
high-level statistics refresher session to arrive at a solution that is
more accurate and actionable than merely averaging past results.
Click here to listen to the webinar.
Speaker: Christian Zust
serves as the Director of Bryan Cave's client technology group. The
group was created as a kind of sanctioned "skunk works", charged with
research into new technologies and development of technology-augmented
solutions that would help deliver improved, more cost-effective service
to clients. The group's work has been widely recognized and has led to
awards from CIO magazine, CTO magazine, American Lawyer Media, Incisive
Media and ILTA. As a JD, MBA and Project Management Professional,
Christian is routinely tasked with leveraging statistics to improve the
delivery of legal services.
If you missed the Beginning Statistical Analysis webinar presented by Rebecca Holdredge, click here.