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California’s judicial elections pose challenges for voters due to the absence of party labels and limited candidate information. Evaluating judges requires examining trial court records for insights into their performance and decision-making. Read More
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Trellis investigates claim stacking in California labor and employment lawsuits, finding that pairing intent-based claims with objective claims increases recovery odds—but it comes with a price. Read More
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OpenAI has introduced Astra for Law, utilizing GPT-6 Astra to enhance legal research by integrating a Legal Search Index and 26 plugins, including Trellis for accessing state trial court data. This innovation helps attorneys gain insights into litigation patterns, judge rulings, and opposing counsel strategies, transforming legal research into a connected, multifaceted process. Read More
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Discovery stretches on. A hearing is postponed. A fully briefed motion sits for months without a ruling. From inside a single case, these delays can seem random—and therefore impossible to plan around. But although every lawsuit brings its own surprises, the court systems through which lawsuits move exhibit recurring patterns. Those patterns vary across jurisdictions,… Read More
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