# LegalOS

**Canonical:** https://apis.io/providers/legalos/  
**Website:** https://www.legalos.ai/  
**APIs profiled:** 0

LegalOS is an AI-native U.S. immigration law practice based in San Francisco and backed by Y Combinator (Winter 2026 batch). Founded by Matthew Asir (CEO), Rachel Asir (COO) and Claire Jutabha (CTO), the company pairs proprietary legal software with licensed immigration attorneys to prepare employment-based visa and green-card petitions — H-1B, L-1A, L-1B, O-1 and TN visas, plus EB-1A, EB-1C and EB-2 NIW green cards. AI agents draft petition narratives, assemble supporting evidence and anticipate USCIS objections, with every filing reviewed by a licensed attorney before submission. LegalOS is delivered as a service through a customer web application at app.legalos.ai; as of this profile it publishes no public developer API, SDKs, developer portal or machine-readable API artifacts.

## Kin Score — 17.6 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 17.6).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 0.0 |
| Governance | 18.2 |
| Contract Governance | 18.2 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 35.5 |
| Access Clarity | 35.5 |

## Agent readiness — 3.4 (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 | yes |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Legalos Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Legal, Legal Technology, Immigration, Artificial Intelligence, Professional Services, Visas, Compliance

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