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Am I Getting Fucked Over?
Quickly Scan Contracts for Legal Risks

What is Am I Getting Fucked Over??

Am I Getting Fucked Over? leverages artificial intelligence to analyze contracts for more than 50,000 potential legal risks, offering users a rapid way to derisk their agreements. This tool is designed to help individuals and businesses quickly identify hidden fees, legal pitfalls, and other costly issues that might go unnoticed in personal and business contracts.

By simply uploading a contract, users receive a fast and comprehensive review, saving considerable legal expenses and reducing exposure to unfavorable terms. Accessible for all, this service provides peace of mind and security in contractual dealings.

Features

  • AI Contract Analysis: Scans contracts for more than 50,000 legal risks
  • Rapid Risk Detection: Provides contract reviews in seconds
  • Hidden Fee Identification: Exposes undisclosed or unfavorable fees
  • Personal and Business Use: Suitable for all contract types
  • Cost Saving: Helps reduce legal expenses by finding risks early

Use Cases

  • Reviewing personal service agreements for hidden risks
  • Scanning business contracts before signing
  • Identifying potential legal pitfalls in employment contracts
  • Examining rental or lease agreements for unsafe clauses
  • Quickly auditing multiple vendor contracts in a business setting

FAQs

  • How does the contract scanning process work?
    Users upload their contracts, and the tool's AI analyzes the document to identify thousands of possible legal risks within seconds.
  • Is this tool suitable for both personal and business contracts?
    Yes, the tool is designed to review a wide range of contracts, including both personal and business agreements.
  • What types of legal risks can be detected?
    The artificial intelligence scans for over 50,000 possible legal risks, including hidden fees and unfavorable clauses.

Helpful for people in the following professions

Am I Getting Fucked Over? Uptime Monitor

Average Uptime

100%

Average Response Time

253.25 ms

Last 30 Days

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