Case Management

#236 rlegaltech500

Anytime AI

Est. 2023 United States Updated 2026-02-10
Unverified by r/legaltech members — this page is based on publicly available information, not hands-on testing or practitioner feedback. Verify your experience with Anytime AI

Anytime AI is an all-in-one agentic AI platform purpose-built for plaintiff personal injury lawyers, founded in 2023, based in the US. $4M seed funding (Law360 announcement Sep 2024). ~30 employees. Automates medical record review, case chronology building, demand letter drafting, and intake-to-settlement workflows. Key features: AI medical record analysis, demand letter generation, case preparation automation, ‘Talk to Teddy’ agentic AI assistant. SmartAdvocate integration partnership. 5th Generation platform launched with agentic AI capabilities. Active Reddit presence — PI attorneys discussing and trialing the product. Customer story with Rubinowitz Law Firm.

Company Info

  • Founded: 2023
  • Team size: 11-50 employees
  • Funding: $4M
  • HQ: United States
  • Sector: Litigation

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.

Workflows

Based on practitioner evidence, Anytime AI is used in these workflows:

Where it fits in your workflow

Before Anytime AI

PI case intake (screening call → qualified lead) → client signs retainer → medical records requested → records received → need to review, summarize, and build case.

After Anytime AI

Anytime AI reviews records → builds chronology → identifies key injuries/treatments → drafts demand letter → attorney reviews/edits → sends to insurance → negotiation → settlement or litigation.

Integrations & hand-offs

Intake system (SmartAdvocate) → Anytime AI (record review + chronology + demand) → Attorney review → Settlement negotiation → Case management (SmartAdvocate) → Disbursement.

Community Data

Loading practitioner-sourced data…