On April 21st, Lex Machina hosted a webcast as part of the launch of their new Legal Analytics for Appeals. The new Legal Analytics for Appeals covers all civil cases heard by the 13 federal courts of appeals, as well as enhanced district court data vetted through final appeal. The webcast featured Lex Machina’s Carla Rydholm (Senior Director of Product Management), Wade Malone (Director of Product Management), and Darren Schleicher (Director, Sales & Strategy).


Some of the discussion topics included:

  • comprehensive outcome analytics for circuit court cases
  • analytics on timing & appealability rulings
  • easy links between federal district and court of appeals cases
  • one consistent experience for greater efficiency and effectiveness

“This is a really exciting moment for Lex Machina,” noted Darren Scheicher. “Now that we’ve built out full coverage for all commercially-relevant civil litigation in district court, the appellate layer is layered on top and it is incredibly exciting . . . It’s really a watershed moment for Lex Machina and our customers.”

“I wanted to . . . emphasize the two key points of value for Appellate Analytics,” added Wade Malone. “Number one, we’re bringing Legal Analytics to a new important court system. This lets us [create] the Lex Machina strategy, the Lex Machina use cases that we’ve been doing for years [that enable you to] craft successful strategies, win cases and close business. . . . To do that, we added almost 400,000 new courts of appeals’ cases to the system and applied our industry-leading analytics to them.”

“The [second part],” Wade Malone continued, “is that we’ve enhanced the story of our existing district court litigation . . . All of the district court outcomes, the damages, the findings, the remedies, they’re all now vetted all the way through final appeal, and they’ll show you when they were reversed . . . Darren, where have you heard that Appellate Analytics would be helpful?”

Darren Schleicher replied, “Everywhere.”

For more, listen to a recording of the webcast or read the transcript.