10 Biases That Affect Jury Verdicts
Explore how cognitive biases like confirmation and racial bias impact jury verdicts, and discover...
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strategy for effective
jury selection
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About Jury Analyst
Jury Consultants
With Jury Analysts, you’ll partner with award-winning trial lawyers
on a mission to be more efficient and effective with Voir Dire questioning and jury selection to win more cases. Our trial consultants help clients achieve higher results and diminish risk by implementing a scientific data and analytics approach to the jury selection process.
- Laser-targeting your pre-trial research & voir dire questions and case framing
- Efficiently analyzing hundreds of jurors in your venue
- Strategies backed by data & behavioral psychology sciences
An Opportunity to Collaborate
Our Professional Services
Our expert trial consultants leverage the power of large sample online focus groups and the personalized insights of smaller live focus groups for a dynamic research solution that is proven to outperform other methodologies in the market.
Is your case a good fit? Let's discuss today!
- Cases evaluated with scienced-backed professionals
- Jury-eligible group participants from your venue
- Damages and/or case-framing predictions
Jury Selection 101
Client Testimonials
What They're Saying?
Brian Panish
Panish l Shea l Boyle l Ravipudi
"Tools like Jury Analyst give trial lawyers a unique opportunity to run jury studies and gain critical insight before walking into court."
Joseph Gutierrez
MGA Law
"The verdict was actually spot on as to what they came back at. We should’ve listened to what [the awards value] Jury Analyst gave us."
Robert Pahlke
Walkup, Melodia, Kelly
"The bottom line is whether we’re willing to endorse what you’re doing—and I think we’re all genuinely impressed."
Chris Finney
Finney Injury Law
"On that case, I asked for eight million. We ended up with 2.5—and your prediction was right on target at around 2.3. You nailed it."
Terry Singleton
Singleton Schreiber
"Oh, this has been really really helpful to us."
Keith E. Galliher, Jr.
The Galliher Law Firm
We tried the case, we got an $800,000 plaintiff's verdict. And the reason for the verdict we discovered after our session with the jury after the verdict. These four things that Jury Analyst picked out were the most important things to the jury. And the fact that enable us to handle these things is what won the case for us. So, Jury Analyst was responsible in large part for a victory in a very very difficult case.
Trial Lawyer quotes
Chris Finney Trial Lawyer
Spencer & Robert Pahlke @Walkup, Meldoia....
Singleton Schreiber
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Quality focus group samples matter?
decision-making. The challenges many come across include things like data quality, lack of data science professionals, validating data, accumulating data from different sources, and managing data. <br />
<br />
Historically, data sets are lacking necessary entity relationships or contextual information to bridge the gap between unrefined data assets and business processes i.e. the necessary cross-reference assets that make the data "smart". It’s not built around demographic profiles. Demographic information does not have the rich details about exactly who the people are on their lists — from age to income to race and ethnicity — the way that robust panels do. These data sets, because they’re created by machine-to-machine transfers, also increase the possibility of waste and fraud.<br />
<br />
Because of that, the level of certainty they can provide about specific segments of people and insights is limited. <br />
<br />
Even when you combine that data with other sources, you’re almost guaranteed to have massive gaps and errors in your estimates, due to your inability to correctly identify the relationships between the aggregated data's variables. This data doesn’t provide the accuracy, objectivity, and transparency required to deliver the most optimal results." data-video-title="Big Data or Smart Data before your next trial">
YouTube Video UExlTWNmNXdwVy1ack9xRGxtb1ZteGR3Y0hudFM1OE1WYy4xMkVGQjNCMUM1N0RFNEUx
The Challenges of Big Data
Many companies get stuck at the initial phase of Big Data projects. Mainly because they’re not aware of Big Data challenges or simply not equipped to tackle them. Modern technologies and large data tools require skilled data professionals. These professionals include data scientists, data analysts, and data engineers to work with the tools, tackle the challenges, and make sense of these giant data sets.
The data needs to be structured and properly analyzed to enhance and assist in decision-making. The challenges many come across include things like data quality, lack of data science professionals, validating data, accumulating data from different sources, and managing data.
Historically, data sets are lacking necessary entity relationships or contextual information to bridge the gap between unrefined data assets and business processes i.e. the necessary cross-reference assets that make the data "smart". It’s not built around demographic profiles. Demographic information does not have the rich details about exactly who the people are on their lists — from age to income to race and ethnicity — the way that robust panels do. These data sets, because they’re created by machine-to-machine transfers, also increase the possibility of waste and fraud.
Because of that, the level of certainty they can provide about specific segments of people and insights is limited.
Even when you combine that data with other sources, you’re almost guaranteed to have massive gaps and errors in your estimates, due to your inability to correctly identify the relationships between the aggregated data's variables. This data doesn’t provide the accuracy, objectivity, and transparency required to deliver the most optimal results.
10 0
Big Data or Smart Data before your next trial
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News & Articles
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16 Mar
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15 Mar
Understanding Juror Demographics: A Data Analysis Guide
Explore the complexities of jury selection, emphasizing the importance of attitudes and experiences over...Know More -
8 Mar
7 Data-Driven Strategies for Effective Voir Dire Questions
Explore data-driven strategies to enhance voir dire effectiveness, leveraging predictive analytics, surveys, and AI...Know More
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