# Fileread

**Canonical:** https://apis.io/providers/fileread/  
**Website:** https://fileread.com/  
**APIs profiled:** 0

Fileread provides an AI‑powered legal data intelligence platform that automates fact‑finding for litigation and investigations. By ingesting the full record of case materials, Fileread reads, analyzes, and cites every answer to its source, enabling lawyers to quickly locate relevant evidence, generate insights, and streamline discovery workflows. Backed by Gradient Ventures, the service combines natural language processing with a searchable knowledge base to improve accuracy and efficiency for legal teams.

## Kin Score — 17.3 / 100 (emerging)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 23.8 |
| Access Clarity | 26.3 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 22.7 (matched via fallback).

## Agent readiness — 3.6 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (3)

- **Fileread Authentication** — 0 schemes
- **Fileread Domain Security** — TLSv1.3 · HSTS · DMARC
- **Fileread Trust Center** — SOC 2, ISO 27001, HIPAA, GDPR

## Tags

AI, LegalTech, Litigation, DataIntelligence, Automation

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/fileread/). Scores are computed from the provider's own public artifacts under a published rubric.