Reveal Hidden Juror Bias with AI‑Driven Scoring
PeerProbe's Juror Bias Score analyzes public records, social‑media behaviour and case‑specific responses to uncover implicit biases, helping you build a fairer jury and win your case.
Uncovering Bias Is Hard
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Implicit biases are automatic, non‑conscious attitudes that influence juror decision‑making.
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Around 75% of people show a pro‑white bias on Implicit Association Tests — and even 40% of Black participants display some level of this bias.
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Without systematic scoring, attorneys rely on gut feelings and risk discriminatory selection or appeals.
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In some jurisdictions, failing to research jurors using public records can amount to an ethical violation.
Core Feature
Data‑Driven Juror Bias Scores
PeerProbe's Juror Bias Score uses a multi‑metric approach — demographic analysis, social‑media review, case‑specific questions, Implicit Association Testing and live voir dire assessment — to build a data‑rich profile of each juror.
AI‑driven linguistics and NLP scoring combine these inputs into a single quantitative measure of potential bias, giving you objective insights.
The platform adheres to ethical guidelines by analysing only public information and never contacting jurors online.
Why it matters for your firm
Improve Fairness & Reduce Risk
Identify hidden biases early to assemble more impartial juries and reduce the risk of mistrials or appeals.
Focus Your Voir Dire
Use bias scores to concentrate your questioning on high‑risk jurors instead of guessing who might be problematic.
Ethically Gather Insights
Our process respects privacy and complies with professional conduct rules; we analyse only publicly available data and avoid prohibited social‑media contact.
Save Time with Automation
AI and psychographic analysis handle the heavy lifting, letting your team focus on strategy rather than manual research.
How Juror Bias Scoring Works
Collect Data Ethically
Our system aggregates publicly available demographic data, social‑media activity and case‑specific questionnaire responses to form a comprehensive dataset.
Analyze Hidden Bias
AI models apply NLP, psychographic segmentation and Implicit Association Testing to detect latent biases and measure their strength.
Deliver Actionable Scores
The platform translates these findings into a single bias score and narrative, guiding your voir dire strategy and helping you decide whether to strike or probe jurors further.
Real attorneys, real outcomes
Before PeerProbe
"Before using PeerProbe's Bias Score, we relied solely on gut feelings and missed subtle cues."
After PeerProbe
"PeerProbe's data‑driven score uncovered clusters of anti‑corporate sentiment, allowing us to strike biased jurors and seat a balanced panel."
— Lead Trial Attorney, Product Liability Case
Before PeerProbe
"Manual juror research consumed hours and still left uncertainty."
After PeerProbe
"With PeerProbe's bias scoring, we obtained instant insights that improved fairness and saved us countless hours."
— Partner, Litigation Firm
Common questions
Make Bias a Thing of the Past
We never contact jurors and fully comply with ethical rules.