
Real people backed a Florida case 97% of the time and valued it at $25 million, while AI jurors predicted 60% and roughly $10 million. At trial, the plaintiff won $25 million. John Campbell joins Alicia Campbell and...


What if you could predict your verdict before stepping into the courtroom? The Fred Files pulls back the curtain on jury thinking and trial preparation, giving plaintiffs' lawyers and mediators unprecedented insights into what makes jurors tick. Hosted by trial lawyer and trial scientist, Alicia Campbell, and empirical legal scholar, Nick Schweitzer, this podcast explores how online focus groups can revolutionize case preparation. Each episode tackles the questions keeping plaintiffs’ lawyers up at night: Should I go to trial or settle? What's my case really worth? Is a 75-person sample reliable? With rotating hosts offering legal, statistical, and technical perspectives, The Fred Files is a unique resource for anyone wanting to break free from the echo chamber and transform their approach to trial preparation. Perfect for plaintiffs' lawyers handling cases of any size and mediators tired of making proposals without knowing the true value. Data-driven insights are no longer just for blockbuster cases. Fight for Justice with Fred. To learn more about how Fred can help you in your next case, visit us at https://www.focuswithfred.com. Produced and Powered by LawPods, podcast marketing that converts prospects and drives revenue. https://www.lawpods.com
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Contact path
Public web form
Booking probability
27%
Guest openness
Selective
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Signup to Generate a PitchWhat if you could predict your verdict before stepping into the courtroom? The Fred Files pulls back the curtain on jury thinking and trial preparation, giving plaintiffs' lawyers and mediators unprecedented insights into what makes jurors tick.
Recent episodes include "Why AI Jurors Fail Plaintiff Lawyers with John Campbell" (26 October 2026, 43 minutes), "Reframe, Refocus, Win: A $2M Verdict Story with Toni Schlapprizzi" (12 May 2026, 53 minutes), and "Big Data and Its Little Brother: Separated at Birth, Powerful Together, with Monte Tynes and Courtney Wilson" (15 April 2026, 52 minutes).
The Fred Files publishes roughly monthly, with episodes averaging 51 minutes.
Booking probability for The Fred Files is 27%, and the host is rated Selective on guests. The Fred Files requires a Pod Score of 80 or higher. The Fred Files's contact route on record: public web form.
The strongest fits for The Fred Files are Law & Legal Services. The Fred Files has a business audience.
The Fred Files is a business podcast.
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Real people backed a Florida case 97% of the time and valued it at $25 million, while AI jurors predicted 60% and roughly $10 million. At trial, the plaintiff won $25 million. John Campbell joins Alicia Campbell and...

Antoinette (Toni) Schlapprizzi turned to data for guidance on a complex trucking injury case. Her client was seriously injured when he was unstrapping a load of heavy pipe and the telehandler operator began lifting...

Monte Tynes and Courtney Wilson have fallen in love with “big data” and big data’s “little brother,” called Fred. Why? Because big data reveals the things that shouldn’t worry you and the things you should. Fred, on the...

"I think this is coming to a place near you," warns Tom Dickerson, trial attorney leading the fight against sweeping tort reform in Kansas. A bill would prohibit plaintiff lawyers from requesting any dollar amount for...

"There's nothing nuclear about a verdict that's predictable." Sean Claggett , trial lawyer and co-author of “Jury Ball,” the groundbreaking book on big data, has made it his mission to help plaintiffs’ lawyers predict...

From an individual’s spinal injury to an entire town’s polluted landscape, Focus Graphics designs demonstratives that pop – and persuade. CEO Seton Claggett visits hosts Alicia Campbell and Nick Schweitzer to explain...

When Brian Aleinikoff represented a 16-year-old girl who was paralyzed after falling from a chairlift, he leveraged a big data report that made it clear: He had to reframe the case to focus on the true “bad actor” – not...

He’s known as the “data beater.” He’s secured $91 million for a convenience store robbery victim and $42 million for a young woman who was “betrayed” by Child Protective Services. He’s Eric Fong , and he stops by “The...

Is there evidence that giving attorneys more time to ask more detailed questions would better predict juror bias? “We found a resounding ‘yes,’” says Valerie Hans , who joins Jessica Salerno and John Campbell to discuss...

Imagine you’ve got a big case and you want a summary of every deposition. “The first temptation might be, ‘Well, I'll just throw my depo into an AI, and I'll have it summarize it.’ But if you've ever tried that, it...

In their third installment of a series about Fred , trial scientist Alicia Campbell brings back COO Nick Schweitzer and CTO Kevin Doran for insights about how to maximize this platform. Learn why early case evaluation...

Fred isn't just software – he's your strategic partner in case evaluation. Trial scientist Alicia Campbell , CEO Nick Schweitzer , and CTO Kevin Doran take you inside Fred's virtual jury room to show exactly how 75 real...

Meet Fred , “Big Data’s Little Brother.” You need him in your life if you’re a plaintiff’s lawyer, says trial scientist Alicia Campbell, who developed the platform in 2016. She explains why in this inaugural episode of...

The Fred Files
What if you could predict your verdict before stepping into the courtroom? The Fred Files pulls back the curtain on jury thinking and trial preparation, giving plaintiffs' lawyers and mediators unprecedented insights...
Recent guests on The Fred Files. Study who booked and why before you pitch.
Founder of Campbell Sutherland Crisis Leadership and former Chief Constable of Thames Valley Police, Glasgow Alcohol and Drug Recovery Services
Personal Injury Attorney, Calvary Chapel Middlesex
trial lawyer and co-author of 'Jury Ball', Claggett & Sykes Law Firm
MD and CIO at Wealth Manager AJ Bell, Sano Heating & Air Conditioning
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