Fileread is an AI-powered document intelligence platform for litigation teams at law firms, corporations, and government agencies. It helps legal professionals review, query, and extract insights from large document collections to build case strategies faster.
Key Capabilities
- Unlimited document analysis: Process and query entire document collections without restrictions. Users can ask questions in natural language and receive answers with direct citations to source documents for verification. This eliminates the need for complex Boolean searches.
- Multimodal intelligence: Extract insights from text, images, charts, diagrams, and handwritten notes within a single platform. No critical information is overlooked, whether in traditional documents or complex visual materials.
- Matter Intelligence: A context engineering feature that analyzes foundational case documents such as complaints and memos to generate tailored, case-specific questions. Users can work immediately without prompt engineering skills. The system generates thematic categories with suggested queries in under five minutes.
- Axis agentic extraction: Automatically extract structured data from large document volumes including court filings, invoices, and discovery materials. Users can upload existing CSV schemas for automated extraction or describe their goals in plain language for AI-suggested columns. Extractions can be saved as reusable templates for future matters.
- Deep Search Agent: Query across the entire document collection to uncover nuanced connections, contradictions, and patterns that might be missed during manual review. The agent helps validate findings and dig deeper into critical documents.
- Work product generation: Automatically build chronologies, fact memos, character lists, organizational charts, and case summaries. Every fact is linked to its source document with direct citations, supporting litigation-grade accuracy.
Use Cases
- Early case assessment: Identify key points, arguments, and storylines. Summarize critical documents and visual exhibits. Pinpoint gaps between claims and productions and identify key custodians from the outset.
- Discovery support: Generate timelines and event narratives. Determine whether opponents met discovery obligations. Identify hot documents faster and update clients with initial insights in days instead of weeks.
- Deposition preparation: Create event timelines, profile key roles, and find supporting documents and exhibits for deposition outlines.
- Trial support: Assess witness credibility, find real-time answers during trial, and create timelines and character lists for trial proceedings.
- Case analysis: Evaluate evidence strength across text and visual data. Produce client-friendly reports and summaries. Highlight discrepancies between depositions and documentary evidence.
Integrations
Fileread integrates natively with Relativity and is also available as a standalone Platform. Both implementations deliver identical features and capabilities, allowing teams to choose the option that best fits their existing workflow without sacrificing functionality. The platform also integrates through strategic partnerships with alternative legal service providers including Purpose Legal, Forcyd, and Array.
Security and Compliance
Fileread meets SOC 2 Type II, ISO 27001, HIPAA, and GDPR standards. All data is processed through military-grade encryption in Microsoft Azure with private LLM processing. The system does not train on case data, ensuring client information remains protected and confidential across matters.
Company Background
Fileread was founded in 2021 by Chan Koh (CEO), Daniel Hu (CTO), and Freya Zhou (COO). The company is based in New York and is backed by Gradient Ventures (Google AI investment arm), Soma Capital, and Jump Capital. Fileread has raised $6 million in seed funding and serves Fortune 100 companies, elite law firms, government agencies, and legal service providers. The company has been featured in The New York Times, TechCrunch, Law.com, and Law360.
