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Originally published on Attorney at Work. Legal analytics helps litigators identify business development opportunities by tracking case activity, analyzing litigation patterns, and surfacing insights about prospective clients. In this article, Nicole Clark explains how attorneys use that data to inform outreach while still relying on relationships to convert opportunities into new work. Read the original… Read More
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How can AI be used for legal research purposes by legal teams? Artificial intelligence is changing how legal teams conduct research by making large volumes of court data searchable, structured, and comparable. In state trial courts—where data has historically been fragmented and difficult to access—AI can aggregate records across jurisdictions and extract key information from… Read More
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Most state trial court intelligence has historically lived in attorneys’ inboxes, internal notes, and anecdotal conversations—not in searchable systems. That creates a real strategic blind spot. How does a particular judge tend to rule? How often has opposing counsel argued this issue? What motion patterns emerge across similar cases? Trellis was built to answer those… Read More
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Legal analytics provides insight into judges, opposing counsel, case timelines, and overall litigation patterns. In state trial courts, this requires aggregating and structuring fragmented data across jurisdictions. Once standardized, that data can be analyzed to evaluate judicial behavior, assess opposing counsel, and inform litigation strategy. Every court case includes core data points, such as the… Read More
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State trial court dockets, essential for tracking legal activity, have historically been difficult to access due to fragmented record systems. Nicole Clark, co-founder of Trellis, aims to improve accessibility and analysis of these records using AI techniques. This initiative enhances insights and supports legal workflows, benefiting legal professionals significantly. Read More
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