Replit Terms of Service

Replit's Terms of Service govern your use of their AI coding and app-building platform, covering everything from account creation to what happens to the apps and code you create. The most important thing to know is that by using Replit, you give the company a broad license to use your uploaded or created content — potentially including for AI training purposes — and you take on legal responsibility for anything built or deployed on the platform. If you want to avoid mandatory arbitration and preserve your right to sue in court, you must opt out in writing within 30 days of agreeing to these terms.

This document is Replit's Terms of Service governing use of its AI-driven software development platform, establishing a contract between Replit, Inc. and users under California law with mandatory arbitration and class action waiver provisions. The most significant obligations include users granting Replit a broad, royalty-free license to use, reproduce, modify, and distribute user content, and users accepting sole responsibility for all content generated or deployed through the platform including AI-generated outputs. Notably, the ToS grants Replit the right to use user content to train AI models, imposes a unilateral modification right with minimal notice, and contains an unusually broad indemnification clause requiring users to defend Replit against third-party claims arising from user content or platform use. The document engages COPPA (minimum age 13, parental consent for under-18 users), CCPA (California residents have data rights referenced via Privacy Policy), and consumer protection frameworks under FTC Act Section 5; the mandatory arbitration clause with class action waiver and 30-day opt-out window creates material exposure under ongoing FTC scrutiny of such provisions. Compliance teams should note that AI-generated content disclaimers and the platform's nature as a code execution environment may implicate EU AI Act obligations, export control regulations, and potential CFAA considerations for unauthorized access scenarios.