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How Data Analytics and AI Are Informing Voters in Judicial Elections and Attorneys in Litigation

Learn how data analytics and AI are keeping judges honest on the campaign trail and how data-driven insights can inform voting decisions.

Gavelytics is advertised as a “judicial analytics tool that gives litigators actionable knowledge to help win more cases and more business.” Recently, Gavelytics posted an article comparing Judge Gail Feurer’s caseload breakdown to her opponent, Judge John Segal’s record.

Judge Feuer’s caseload breakdown since 2014. Source: https://www.gavelytics.com/new-partnership-will-allow-attorneys-to-get-analytics-on-judges-theyre-about-to-appear-before/

In addition to a visual breakdown of Judge Feuer’s experience, the tool also provided insights into how the judge historically ruled on various issues. Drilling down on landlord tenant disputes, the data shows that in Unlawful Detainer cases Judge Feuer favors tenants, granting motions at a rate of 75% as compared to the country-wide average of 50% and, revealingly, 55% for her opponent, Judge Segal.

Judge Feuer’s Unlawful Detainer motion rulings as compared to the national average and her opponent, Judge Segal. Source: https://www.gavelytics.com/new-partnership-will-allow-attorneys-to-get-analytics-on-judges-theyre-about-to-appear-before/

From this data, we can see that leading up the election Judge Feuer’s caseload was more diverse than Judge Segal’s and that she is sympathetic to tenants in Unlawful Detainer cases. But this analysis from Gavelytics is remarkably restrained.

These limited glimpses into one Judge’s caseload and ruling patterns only hint at the usefulness of this data. This illustration draws from only a narrow sub-set of the data available. In a close election, supporters or opposition could dive deeper into the data and find valuable information to sway prospective donors and voters.

Beyond elections, the data now available on judges can inform litigation strategy, both macro and micro. Where should you file? Is hiring local counsel important? Is it worth the expense to a certain kind of motion in front of this judge? How long does it typically take for the judge to rule on a motion? All of these questions and more can be informed by data analytics. In closing, data analytics can reveal positive trends, but it can also reveal biases. Judges and attorneys both will have to adjust to the fact that the data analytics arms race means that every move is tracked, every result adds to a tally up for review, and all of this is happening more visibly than ever before.

How are you or your firm using data analytics?

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