# Anytime AI

**Canonical:** https://apis.io/providers/anytime-ai/  
**Website:** https://www.anytimeai.ai/  
**APIs profiled:** 0

Anytime AI provides an AI‑powered legal assistant platform for plaintiff lawyers, offering tools for case analysis, discovery, demand letters, and settlement strategy. The company focuses on complex litigation, delivering a personalized agentic co‑worker that helps settle cases faster and at higher values. Its SaaS solution includes practice‑area specific modules such as personal injury, nursing‑home litigation, medical malpractice, truck accidents, and traumatic brain injury, with a roadmap for version 3.0.

## Kin Score — 19.3 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0. Trend: flat (+0.0 from 19.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 33.3 |
| Access Clarity | 39.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 13.6 (matched via fallback).

## Agent readiness — 0.0 (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 | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (2)

- **Anytime Ai Domain Security** — TLSv1.3 · HSTS
- **Anytime Ai Trust Center** — SOC 2, HIPAA

## Tags

Artificial Intelligence, Legal Tech, Litigation, Software-as-a-Service, PlaintiffLawyers

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