Pablo Arredondo, Casetext Cofounder And Legal AI Pioneer, Joins Clio To Lead Its Expansion Into The Judiciary

Pablo Arredondo, cofounder of Casetext and a pioneer in legal AI, is joining Clio as senior vice president of judiciary, effective Aug. 31, to lead the company's first dedicated expansion into the courts. Clio CEO Jack Newton said the move advances Clio's vision to build technology for the entire legal system. Arredondo, who helped develop Casetext's CoCounsel before Thomson Reuters acquired the company for $650 million in cash in 2023, will establish a judiciary product line and shape AI capabilities across Clio's platform.

Pablo Arredondo https://www.linkedin.com/in/pablo-arredondo/ , the Casetext cofounder who helped build some of the earliest and most influential applications of AI in legal practice, is joining Clio https://www.clio.com/ as senior vice president, judiciary, where he will lead the company’s strategy for extending its technology into the courts. The hiring marks Clio’s first dedicated move into the judiciary, an expansion the company describes as the next chapter in its ambition to build technology for the entire legal system, not just the law firms that have long been its core market. “For nearly two decades, Clio has been building toward an ambitious and expansive vision for the role technology can play across the legal system,” Jack Newton https://www.linkedin.com/in/jackbnewton/ , Clio’s cofounder and CEO, said in a statement. “We transformed how law firms run their businesses, expanded into the substantive work of law, and are now bringing that same focus to the judiciary.” Arredondo officially starts Aug. 31. On Saturday, in advance of today’s announcement, I spoke with Arredondo in a recorded interview that will be released this week on my LawNext podcast https://www.lawnext.com/category/lawnext . This is his second appearance on LawNext this year. In February, I visited him at his home in Tiburon, Calif., for a wide-ranging conversation about his career https://www.lawnext.com/2026/02/lawnext-on-location-the-view-from-tiburon-a-conversation-with-pablo-arredondo-casetext-cofounder.html . A Legal AI Pioneer Arredondo was a patent litigator at Kirkland & Ellis and Quinn Emanuel before cofounding Casetext in 2013. There, he helped develop a succession of innovative products, including CARA, the first brief analyzer, and, ultimately, CoCounsel https://www.lawnext.com/2023/03/casetext-launches-co-counsel-its-openai-based-legal-assistant-to-help-lawyers-search-data-review-documents-draft-memos-analyze-contracts-and-more.html , the product that helped bring generative AI into everyday legal workflows. After Thomson Reuters acquired Casetext https://www.lawnext.com/2023/06/the-rumors-were-true-thomson-reuters-acquires-casetext-for-650m-cash.html in 2023 for $650 million in cash, Arredondo joined that company, leaving at the end of last year to take some time off and consider his next career move. Over those years, he became increasingly interested in working with the judiciary. In our interview this week, he recalled noticing, back in Casetext’s early days, that courts were organically adopting the company’s Parallel Search, a tool built for litigators and that had never been marketed to judges. More recently, he spent several months on a project at Cornell’s Legal Information Institute using LLMs to annotate the U.S. Code of Conduct for Judges with centuries of thinking on judicial ethics from rabbinic, Islamic and Roman Catholic traditions. The results of that project are slated to be released soon. That project, he told me, left him with a deepened appreciation for the role of the judge, and for how far back in history the tensions around judging reach. “The judiciary long precedes AI, long precedes computer science,” he said. “A lot of those tensions are still here, are still just as real. And so how we design things needs to not ignore those or wish those away, but rather embrace them head on.” ‘Three Billion Tokens’ Clio said that Arredondo’s mandate is to establish a dedicated judiciary product line designed around the distinct needs of courts and judges, while also helping shape the next generation of AI capabilities across Clio’s core platform. For Arredondo, that assignment starts with acknowledging the judiciary’s overarching problem – the sheer volume of material flooding into the courts. “On Monday, somewhere on the order of three billion tokens are going to hit court dockets,” he told me. “My thinking about this is, what are the best things that we can do? And what are the things that we can do in a way that will not cause harm, whether intended or unintended? Because I think that, with the judiciary, you have to focus on that.” He sees the problem as having parallels to the one he tackled a decade ago with the development of CARA, Casetext’s award-winning brief analyzer, which resulted from thinking about what useful things could be done when an attorney uploaded a brief. “Now let’s look across the whole genome of everything that’s being uploaded, everything that’s hitting the docket,” he said. That torrent is only growing – due in part to AI itself. He pointed to research suggesting a double-digit increase in pro se filings, along with increased filings by represented parties, as gen AI lowers the barriers to creating and filing court documents. “There’s no question AI can help,” he said. “The question is how best can it help, and how do we design systems for that? It’s a rather awesome responsibility.” ‘Judiciary Grade’ Technology Clio’s announcement stresses that technology built for the judiciary must protect judicial independence and impartiality while meeting rigorous standards for transparency, security and the integrity of judicial decision making. When I asked Arredondo why courts could not simply adopt tools built for lawyers – why not, for example, just drop Clio Manage into a courthouse and get to work – he was quick to point out the differences. “You hear ‘fiduciary grade’ talked about,” he said. “Well, I think ‘judiciary grade’ is its own system.” Judges care about security and accuracy just as lawyers do, he said, but building the best environment for courts means going after a different set of things – starting with stripping out everything a judge does not need. “You don’t want the judge to have to navigate through something that helps with depo prep, much less mergers and acquisitions.” In addition, he said, the judiciary is not a monolith. What is needed by an appellate court might differ from what is needed by a trial court, which might differ again from what is needed by a magistrate judge handling discovery needs. It is also important to acknowledge that state courts operate under very different constraints than the federal courts he knew as a patent litigator. He has spoken with judges who have no clerk at all, he said, or who share one. I asked Arredondo whether the goal is simply to build a practice management platform for judges or to look at all the ways AI can improve the administration of justice. “Definitely the latter,” he answered, including the question of how courts handle the deluge of pro se filings. He was equally clear that this is not about developing AI to replace judges. “Short answer is absolutely not,” he said. “I don’t see this fully replacing judges.” What Clio Brings Arredondo said that he was attracted to joining Clio because of both its foundation and its content. Clio’s $1 billion acquisition of vLex in 2025 brought it authoritative legal content in the form of case law, dockets and court records, all added to a platform the company says is now used by more than 400,000 legal professionals in over 130 countries. A particular draw for Arredondo is the company’s Clio Docket product, now part of Clio Work, which traces its lineage back to Docket Alarm, the docket-data company founded by Michael Sander that came to Clio by way of Fastcase and vLex. Arredondo recalled joking with Sander years ago that Docket Alarm’s data made him so jealous he fantasized about stealing it. “Well, now here it is,” he said. Access to that real-world flow of court filings is exactly what he wants to build and test against. “Clio has the technology, legal data, scale, and long-term ambition to build this the right way,” Arredondo said in the announcement. “We have a chance to define what responsible AI for the judiciary should look like, and I’m incredibly excited to help shape it.” Newton, in the announcement, called Arredondo “one of the most important builders in legal AI,” adding, “Courts demand the highest standard, and Pablo understands both the potential of AI and the responsibility that comes with applying it in this environment. I can’t think of anyone better to lead this next chapter at Clio.” Talk, Build, Iterate Arredondo is not taking on this project singlehandedly. He will be assembling a team, and said he hopes to connect with others already doing serious work in the space. I asked him about Shlomo Klapper and his company Learned Hand, which has been building an AI platform for judges and who appeared on LawNext earlier this year . Arredondo waved off any notion of a rivalry, describing Klapper and himself as “Brothers in arms.” As for where he will start when he begins the new job Aug. 31, his answer sounds like that of a legal tech veteran. “You talk to users and you build and you iterate.” For much more of my conversation with Arredondo, watch for the episode of LawNext.