Fileread is an AI fact investigation tool designed specifically for litigation and investigation scenarios, primarily serving case teams and covering the complete process from discovery to trial. Its core positioning is to help legal teams master the case record more deeply than opposing counsel.
In terms of main capabilities, Fileread can read complete discovery materials, including formats that other tools cannot open. Every returned answer cites its source page, turning fact-checking from a half-day task into a quick glance. The tool supports images, text, handwritten notes, and unstructured data, and can be used for tasks such as finding key documents, verifying statements in testimony or at trial, and conducting witness preparation. In addition, Fileread offers integration with Relativity and can be used to generate case summaries and quickly present insights.
In terms of usage, the materials indicate that Fileread can be applied directly to a specific case (See it on your matter), and emphasize its built-in verification mechanism, replacing traditional Boolean search with narrative queries. On security, data is encrypted in Azure, processed through a private LLM, and uploaded content is not used to train shared models.
Applicable scenarios include litigation teams and corporate legal departments, with specific uses covering early case assessment, document review, evidence analysis, testimony preparation, and case timeline organization. The materials cite evaluations from multiple law firms and legal service organizations, mentioning that the tool performs outstandingly in product maturity, defensibility, and user experience, and can significantly shorten tasks that originally took hours or days.
In terms of limitations, the materials do not provide detailed information such as specific pricing, free trials, supported languages, or platform compatibility; this content is not currently available.
