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

Access to state trial court data has historically been limited, forcing attorneys to rely on anecdotal knowledge and internal notes when evaluating judges and case strategy. Aggregating and structuring this fragmented data makes it possible to analyze judicial behavior, track opposing counsel, and understand litigation trends at scale. In this episode of the AI in… Read More

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