Fileread is an AI-based fact-finding platform for litigation, eDiscovery, and investigation matters. Users query document productions in natural language, and each answer is linked to its location in the source material.
Key features and functions include:
Source-Linked Answers
Each answer includes a citation to its exact location in the source document, allowing facts to be verified directly rather than located through manual search.
Full-Production Search
Users can search the complete document production rather than a subset of the record, across file formats including text, images, and handwriting.
Work Product Generation
Generates fact memos, case chronologies, contradiction reports, deposition outlines, character lists, and organizational charts from the underlying record.
Workbench
Plans and executes multi-step research tasks, such as building a case chronology, across the full record, determining subsequent search steps based on prior findings. Recurring tasks, including contradiction reports, can be run as an automated workflow.
Matter Intelligence
Generates case-specific questions from uploaded foundational documents within minutes. Questions update as new developments, such as a counterclaim, are introduced.
Axis
Builds a data extraction schema from an uploaded CSV of target fields or a written description, and extracts data such as parties, dates, and dollar figures into a structured spreadsheet. Each exported data point carries a citation to its source.
Multimodal Intelligence
Extracts information from visual content, including charts, images, and diagrams, in addition to text-based documents.
Processing Infrastructure
Document processing is conducted in Azure using private large language model inference; data is not used to train a shared model.
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