Big Data in Jury Consulting:
Transforming Case Strategy

Trial Dynamics

Predict Outcomes with Confidence

Big data provides unparalleled insights into factors that can influence a case. By analyzing large volumes of information, big data allows you to:

Well-structured mock jury research helps answer critical questions:

  • Identify potential biases based on demographic or attitudinal factors.
  • Predict case value and win rates with statistical accuracy
  • Gauge prevailing attitudes toward specific legal issues.
  • Develop juror profiles for crafting tailored strategies in voir dire.

We are proud to partner with Campbell Law LLC, a leader in big data analysis, to deliver reliable data combined with actionable insights and implementation strategies tailored to your case.

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What is Big Data, and Why is it Useful?

Big data refers to the large-scale collection and analysis of information to identify patterns and predict outcomes. Corporations have used data for years to anticipate consumer behavior. Now, the same methodologies are transforming trial strategy.

Through big data studies, we test your case with hundreds of online mock jurors to determine your best, worst, and average day in court. We can simulate outcomes based on varying damage requests to find the amount that gives you the best chance at winning.

While most attorneys assume that different asks will lead to different verdicts, what often surprises them is just how dramatically the amount requested can impact the likelihood of winning. Ask for the wrong number, and you might lose. Ask for the correct number, and it could be the reason you win, and win big. Without data, you’re guessing. With data, you’re making informed decisions that can mean the difference of tens of millions of dollars. Big data ensures your ask is both strategic and backed by real-world testing.

In addition, big data allows you to know whether specific pieces of evidence are good or bad for your case. What happens if that critical video is admitted? How will that affect your damages and win rate? What if the defense admits liability on the eve of trial? Data allows us to know the impact of these variables before trial.

Finally, with large numbers comes the ability to create a juror profile. Which jurors are more likely to find for you on liability? Which are the least likely to give large damages? With big data, we can arm you with the attitudinal or background juror characteristics that are dangerous to your particular facts and story.

Juror Profiling Through Data

Big data also provides detailed juror profiles by analyzing responses to extensive intake questionnaires. These insights go beyond surface-level observations to identify traits correlated with specific outcomes. For instance:

  • NFL fans might be 47% less likely to find in your favor.
  • Regular viewers of Jeopardy! may be 35% more inclined to award large damages.
  • Those who have been victims of a crime may be 117% more likely to find in your favor.
  • Those who have suffered similar injuries may be 79% lower on their damage awards.

Additionally, we can incorporate anticipated voir dire questions into the study to test which questions best predict liability or damages outcomes, giving you a roadmap for jury selection.

How is Big Data Different from Focus Groups or Mock Trials?

While focus groups and mock trials are valuable for case framing and understanding juror thought processes, they are not as reliable for predicting outcomes. Big data studies, on the other hand, excel at outcome prediction, case valuation, and juror profiling, but are less useful for case framing.

  • Focus Groups/Mock Trials: Ideal for testing case narratives, understanding juror arguments, and observing group dynamics.
  • Big Data Studies: Best for precise outcome prediction, determining the “sweet spot” damages ask, pre-mediation case valuation, and identifying predictive juror traits.

Both tools have distinct advantages, and combining them with expert consulting ensures a well-rounded trial strategy.

Trial Dynamics

Why Partner with a Consultant
for Big Data Studies?

While Campbell Law LLC provides technical expertise in data gathering and analysis, having a consultant invested
in the study and implementing findings is crucial. At Trial Dynamics, we partner with Campbell Law to offer seamless support, from preparing scripts and exhibits for data studies to integrating findings into your case strategy.

Adding tailored voir dire questions to test their predictive power for liability and damages outcomes.

Translating Campbell Law’s comprehensive data report into actionable strategies for opening statements, voir dire, and trial presentation.

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Editing case presentations and exhibits before submission to Campbell Law.

Providing ongoing support, including jury selection, focus groups, mock trials, witness preparation, case framing, and opening statement development to ensure every insight is fully implemented.

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Integrating Data and Success

With big data studies powered by Campbell Law LLC and our tailored consulting, we offer a sophisticated, data-informed approach to jury consulting. By bridging raw data insights with practical trial strategies, we help you make confident, informed decisions that maximize your chances of success—whether at trial or mediation.

Big Data FAQs
Explore our frequently asked questions about leveraging big data in legal strategies.
What is a Big Data study in the context of trial consulting? Chevron
A Big Data study tests your case with hundreds of jury-eligible participants to generate statistically meaningful insights. Unlike qualitative feedback from a small focus group or mock trial, these studies deliver quantifiable predictions about win rates, verdict ranges, and juror profiles. The result is a data-backed framework that reduces guesswork.
How is Big Data different from a focus group or mock trial? Chevron
Focus groups and mock trials are excellent for exploring themes, identifying confusion, and observing juror reactions in depth; however, their weaknesses lie in predicting outcomes. Big Data, by contrast, is designed to predict. With large sample sizes and proprietary algorithms, it provides high-confidence insights into how your case is likely to perform and which strategic choices have the most significant impact on the outcome. Mock trials and big data are both necessary yet distinct tools.
What kinds of questions can a Big Data study answer? Chevron
Big Data can show you: - Your projected win rate - How verdicts shift across different damages asks - Which jurors are most favorable (and most dangerous) - How different fact patterns or arguments perform - The cost of asking for the wrong number A ranking of the most important issues to jurors on both plaintiff and defense sides
How reliable are Big Data jury studies for predicting trial outcomes? Chevron
When properly designed and executed, Big Data studies are highly reliable, often landing within 5–10% of the actual verdict. Currently, they offer the most predictive tool we have for assessing trial outcomes. That said, no study can account for every variable. Strong personalities (from counsel or parties), surprise rulings, or unexpected developments during trial can shift the outcome in ways data can’t fully capture. Think of Big Data as a powerful indicator, not a guarantee. It provides a solid foundation for decision-making, but human judgment still plays a crucial role.
When is the right time to run a Big Data study? Chevron
Ideally, before mediation and certainly before trial. Walking into mediation with a Big Data study means you’ll know whether an offer is good or not. Is $10 million a good offer? That depends on whether your case is worth $50 million with a high win rate or $15 million with a low win rate. Without testing, you’re guessing. As trial approaches, you need to know what number gives you the best chance at winning and which arguments are most persuasive.
Is a Big Data study worth the cost? Chevron
For high-stakes litigation with potential case values in the high 7-figure range and above, the return on investment on big data is substantial. For smaller cases, mini-data studies can provide some of the benefits of a big data study, albeit with limitations. One well-run study can help you avoid a seven-figure mistake in damages requests or guide a favorable settlement strategy. Instead of guessing what will work, you get evidence-based answers, often at a fraction of the cost of trial prep or expert testimony.

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