By tracking client matters and comparing them to this data, Seyfarth helps clients understand and manage their risks.
For example, if a client has an EEOC charge, Seyfarth can pull data on other complainants, the particular EEOC investigator, and the type of claim. That data may indicate a higher risk with this investigator and category of claim. Often, clients treat EEOC charge work as "the lowest type of commodity work it's essentially just filing an answer," she says. But now Seyfarth can warn a client to be extra careful in a particular case. It can tell the client: "If you don't manage that charge right ... it could [turn] into a multi-million-dollar lawsuit."
Extra Credit: Daniel Katz slide deck on quantitative legal prediction, presented at LegalTech New York 2012: slidesha.re/LTN1261.
Tam Harbert is a freelance reporter based in Washington, D.C. Email: firstname.lastname@example.org.