AI App Legalese Decoder: How It Can Help with Automated Robocall Blocking

In the age of technology, automated robocalls are becoming increasingly common. These calls are often used to scam unsuspecting consumers and can be difficult to identify and block. Fortunately, an AI app legalese decoder can help with automated robocall blocking. This article will discuss how an AI app legalese decoder can help with automated robocall blocking, as well as provide some statistics on the prevalence of automated robocalls.

What Is an AI App Legalese Decoder?

An AI app legalese decoder is a type of software that uses artificial intelligence (AI) to decode legal jargon. This type of software can be used to identify and block automated robocalls by analyzing the language used in the call. The software can detect patterns in the language used and identify if the call is from a legitimate source or not. This can help consumers to avoid being scammed by automated robocalls.

How Can an AI App Legalese Decoder Help with Automated Robocall Blocking?

An AI app legalese decoder can help with automated robocall blocking by analyzing the language used in the call. The software can detect patterns in the language and identify if the call is from a legitimate source or not. This can help consumers to avoid being scammed by automated robocalls. Additionally, the software can be used to identify and block calls from known robocallers. This can help to reduce the number of automated robocalls that consumers receive.

Statistics on Automated Robocalls

According to the Federal Trade Commission (FTC), automated robocalls are the number one source of consumer complaints. In 2019, the FTC received more than 4.5 million complaints about automated robocalls. Additionally, the FTC estimates that more than half of all calls made to mobile phones in the United States are automated robocalls.

Conclusion

Automated robocalls are a major source of consumer complaints and can be difficult to identify and block. An AI app legalese decoder can help with automated robocall blocking by analyzing the language used in the call and identifying if the call is from a legitimate source or not. Additionally, the software can be used to identify and block calls from known robocallers. This can help to reduce the number of automated robocalls that consumers receive.