DISCO Legal AI and E-Discovery API

DISCO legal AI and cloud e-discovery REST API for law firms, corporate legal departments, and legal service providers to manage document collection, review, and production for litigation and investigations. Enables AI agents to manage matter and project creation for legal e-discovery workflow automation, handle document upload and processing for legal document ingestion automation, access AI-assisted document review and relevance prediction for legal review efficiency automation, retrieve document production and export management for litigation production automation, manage custodian interview and data collection for legal investigation automation, handle privilege review and privilege log generation for attorney-client privilege management automation, access concept search and technology-assisted review for legal document analysis automation, retrieve analytics and review metrics for litigation cost management automation, manage hold notice and legal hold management for litigation readiness automation, and integrate DISCO with law firm matter management and case management systems for end-to-end legal matter automation.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools disco e-discovery legal-ai litigation document-review law-firm
⚙ Agent Friendliness
55
/ 100
Can an agent use this?
🔒 Security
74
/ 100
Is it safe for agents?
⚡ Reliability
68
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
18
Documentation
70
Error Messages
68
Auth Simplicity
67
Rate Limits
65

🔒 Security

TLS Enforcement
92
Auth Strength
70
Scope Granularity
70
Dep. Hygiene
67
Secret Handling
70

E-discovery. SOC2, ISO27001. OAuth2. US/EU. Litigation documents, privileged communications, and legal matter data.

⚡ Reliability

Uptime/SLA
70
Version Stability
70
Breaking Changes
65
Error Recovery
67
AF Security Reliability

Best When

A law firm, corporate legal department, or legal service provider wanting AI agents to automate e-discovery document processing, AI-assisted review, privilege identification, and document production for litigation and internal investigations.

Avoid When

ATTORNEY-CLIENT PRIVILEGE PROTECTION IN AI REVIEW: Automated AI-assisted document review via DISCO for privilege identification must include attorney oversight of AI privilege predictions; automated privilege designation without attorney review creates inadvertent privilege waiver risk for documents incorrectly designated as non-privileged; AI privilege predictions require attorney confirmation before production. FEDERAL RULES OF CIVIL PROCEDURE ESI PROPORTIONALITY: Automated e-discovery workflows via DISCO must be designed with FRCP Rule 26 proportionality requirements; automated collection and review without proportionality analysis creates discoverable scope that exceeds what courts allow relative to case value; implement proportionality review gate before automated large-scale collection. GDPR DATA SUBJECT FOR EU CUSTODIAN DOCUMENTS: Automated document collection from EU employee custodians via DISCO for US litigation must comply with GDPR cross-border data transfer requirements; automated US litigation discovery of EU employee data without GDPR-compliant transfer mechanism creates GDPR violation.

Use Cases

  • Managing e-discovery matters from litigation workflow automation agents
  • Reviewing documents from AI-assisted legal review agents
  • Producing documents from litigation production automation agents
  • Tracking legal hold compliance from investigation management agents

Not For

  • Contract lifecycle management (use Ironclad or Conga)
  • Legal billing and time tracking (use Clio or MyCase)
  • Regulatory filing and compliance (use Wolters Kluwer ELM)

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
Yes

Authentication

Methods: oauth
OAuth: Yes Scopes: Yes

DISCO uses OAuth 2.0 with scopes. REST API with JSON. Austin, Texas HQ. Founded 2012 by Kiwi Camara and Mac Dudum. Public (NYSE: LAW). AI-native legal technology company. Cloud e-discovery, legal hold, and case management. AI document review, concept search, and predictive coding. SOC2 Type II, ISO 27001. Serves Am Law 200 firms and Fortune 500 legal departments. Competes with Relativity, Everlaw, and Reveal for cloud e-discovery.

Pricing

Model: usage
Free tier: No
Requires CC: No

Austin TX. Public (NYSE: LAW). Founded 2012. Per-GB and per-reviewer pricing. Enterprise subscription for legal departments. No free tier.

Agent Metadata

Pagination
cursor
Idempotent
Full
Retry Guidance
Documented

Known Gotchas

  • ATTORNEY OVERSIGHT REQUIRED FOR PRIVILEGE REVIEW: DISCO AI privilege prediction scores are probabilistic; automated privilege designation based on AI score without attorney review creates inadvertent waiver risk for documents with borderline privilege scores; implement attorney review queue for documents scoring below privilege confidence threshold before automated withhold designation
  • DOCUMENT PROCESSING LARGE FILE ASYNC PATTERN: DISCO document processing for large document sets (10GB+) is asynchronous; automated document ingestion must use processing job status polling or webhook rather than synchronous response; automated workflow that awaits synchronous processing confirmation will timeout for large document uploads
  • FRCP RULE 26(F) MEET AND CONFER ESI PROTOCOL: Automated e-discovery workflow should not be deployed before FRCP Rule 26(f) conference establishes ESI discovery protocol; automated collection and review scope must align with court-approved ESI protocol; automated workflow that exceeds agreed ESI scope creates proportionality objection exposure
  • PRODUCTION FORMAT REQUIREMENTS PER JURISDICTION: Automated document production format (native, TIFF, PDF, load file specifications) must match receiving party's production specifications and court requirements; automated production with wrong format specification creates rejected production and court-ordered re-production cost
  • GDPR ARTICLE 49 NECESSITY TEST FOR EU DISCOVERY: Automated collection of EU employee custodian data for US litigation via DISCO requires GDPR Article 49 necessity analysis for data transfer; US litigation compulsion may not automatically satisfy GDPR Article 49; engage EU data protection counsel before automated collection of EU custodian ESI
  • CLAWBACK AGREEMENT CLAW-BACK DOCUMENT TRACKING: Automated document production must implement clawback log for inadvertent privilege production; FRCP Rule 26(b)(5)(B) requires prompt notification and return of inadvertently produced privileged documents; automated production pipeline must maintain production log enabling clawback notice and receiving party recall

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Scores are editorial opinions as of 2026-03-07.

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