Coast to Coast Insights: Remapping Pandemic Litigation with Judicial Analytics (Article)

judicial analytics


The COVID-19 pandemic changed everything. And, 22 months later, the legal implications of these changes remain largely unknown. Across the United States, the number of coronavirus-related complaints filed in federal and state courts continues to rise. These legal actions are complex. They’re testing contemporary legal understandings of negligence, causation, and liability, terms that had initially been defined and adjudicated in contexts of relative normality. As Barb Dawson, chair of the Litigation Section of the American Bar Association, explains, “[w]e’re seeing a collision of old laws and frameworks for justice that will be colliding with all new facts.”

While nobody is certain how judges will handle the COVID-19 cases that appear before their benches, it’s important to remember the level of uncertainty that has always existed within the legal system. It can be easy to overlook these uncertainties. After all, the legal system here in the United States relies on legal precedents, a situation which suggests that the outcome of any single case should be fairly predictable. According to Gail Gottehrer, an emerging technologies attorney based in New York City, “[i]f your case is similar and has similar facts to another case, the results shouldn’t be too surprising.”

The problem, however, is that the results often are surprising. Judges aren’t computers. They are people, filled with their own beliefs and their own experiences, both of which shape how they interpret laws, apply facts, and consider arguments. With that said, lawyers can’t simply feed competing arguments into the bench and expect predictable outcomes. Something else is needed, a tool that can help attorneys navigate through the uncertain, uncharted waters of a lawsuit. By harnessing the power of state trial court data, judicial analytics is poised to fill this gap, helping attorneys grapple with the twists and turns of the litigation landscape in our unprecedented times

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Crafting a Soft Sell With Hard Data: The Art of Legal Analytics in Business Development (Article)


Keeping up on the litigation landscape with AI-powered legal analytics can help cultivate productive and meaningful client relationships.

“As someone who had his own law firm, I learned very early on that without clients, you had no business,” says Cole Silver, Chief Client Officer at Blank Rome. The statement is as bold as it is obvious. Still, it bears repeating. We all know that operating a law firm involves more than just practicing law. There is also the business behind the law. That is, all of the labor involved in marketing and managing client relationships.

The business of the law requires a certain set of skills, as legal markets are generally soft, filled with more sellers than buyers. There are myriad ways to cultivate connections with prospective clients. Some legal teams rely on networking —  meeting the right people, and fostering the right reputation. Others place their trust in marketing campaigns, scooping up space on highway billboards, television programs and radio voiceovers.

But what if there was another way?

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Podcast: Nicole Clark, CEO and Co-Founder at Trellis Research


Welcome to episode 325 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.

Today’s guest is Nicole Clark, CEO and Co-Founder at Trellis Research in Los Angeles. Founded in 2017, Trellis is a state trial court legal research and analytics platform with AI-based insights on judges, opposing counsel, motions, dockets and legal issues. They make state trial court data searchable and analyze it to give law firms insights into the way judges are ruling. Legal teams are able to “Google” search state trial court records and uncover key intelligence on opposing counsel, motions, rulings, dockets and other legal issues.

Prior to founding Trellis, Nicole was a business litigation and labor and employment attorney who handled litigation in both state and federal courts. She regularly represented multinational corporations in claims ranging from high-profile trade secret disputes to complex class-action litigation. Frustrated by sending internal emails and collecting anecdotes on judges in order to make strategic case recommendations, she built Trellis to solve her own need for access to data, information and analytics at the state trial court level. 

In the episode, Nicole tells us about:

The origins of Trellis Research

Early challenges of bringing the concept to life

Benefits that the platform currently brings to users

Interesting projects & day-to-day life of the engineering team

What the future looks like for Trellis Research

Why Trellis Research is a great place to work

To find out more about Nicole and all the great work happening at Trellis Research, check out the website and follow them on LinkedIn and Twitter @trellis_law. You can also connect with Nicole directly on LinkedIn or follow her on Twitter @Nicole_A_Clark.

Trellis is also providing AI in Action listeners with complimentary 14-day access to its platform. Visit to get started today.

What did you think of Nicole’s  podcast? Where do you see the future of AI and Data Science in the Legal industry heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

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