Filevine embeds deposition outputs

This turns deposition AI from a sidecar into part of the law firm's system of record. In practice, that means the transcript, objections, witness answers, summaries, and follow up tasks do not sit in a separate transcript app that someone has to export from and reattach later. They become case data inside the same matter where pleadings, bills, medical records, deadlines, and staff activity already live, which makes every later workflow faster and more automatable.

• Filevine built this by acquiring Parrot in April 2025, then launching Depositions by Filevine in September 2025 with scheduling, hosting, court reporting, transcription, and live AI analysis in one product. The important shift is not just owning the deposition event, it is capturing the output in native matter data rather than as a disconnected file.
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• That matters because legal work compounds across steps. A deposition summary can feed case strategy, a demand letter, a medical chronology, a task list, or a billing narrative. Filevine already positions LOIS as an AI layer over matter fields, documents, and activity items, so deposition output becomes new fuel for those downstream workflows.
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• The contrast is with legal platforms where AI and workflow often bolt onto an underlying record system. Litify also sells matter management plus AI on top of Salesforce, but Filevine is pushing for tighter capture of litigation events inside one operating workflow, especially for plaintiff firms where deposition facts need to move straight into the live case file.
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The next step is a matter record that updates itself as work happens. As more litigation events, like depositions, demands, records review, and forms, feed structured outputs back into the file, the winning legal platform will be the one where AI is not a separate assistant but the engine continuously writing, tagging, and routing the case forward.