Email systems have gotten smarter. Whether it’s filtering out spam, prioritizing the messages we need to respond to, reminding us when we’ve forgotten to include a mentioned attachment, or suggesting appropriate responses, 2020 email has come a long way from the basic inboxes of yesteryear. But there’s still further they can go — and Joshua Browder, the creator of the robot lawyer service DoNotPay, believes he’s come up with a way to make email even more user-friendly. (Hint: It involves saving people money.)
Browder, for those unfamiliar with him, is the legal tech genius who has been creating automated legal bots for the past several years. Whether it’s helping appeal parking fines (where the original DoNotPay name came from) or aiding people in gaining unemployment benefits, he’s focused on one consumer rights area after the other to disrupt through automation.
DoNotPay Email, which launched Wednesday, gives users a new @DoNotPay email account that automatically analyzes every incoming message and identifies ways to save you time, money, or both. Let’s say that you get an email from your gym, for instance. Rather than just determining it to be spam or non-spam, as a conventional email system might do, DoNotPay Email will chime in with the option of letting you cancel your membership with a single click should you wish to do that. Similarly, an email receipt about a message concerning poor in-flight Wi-Fi will cause the system to automatically fight the airline for your refund. Or an obvious bit of spam will not only let you “unsubscribe,” but also search for any pending class action suits involving the sender and help you claim cash compensation for being bothered. It works by matching the contents of each email to the 150 existing consumer rights products the company already offers.
“We have built a machine model based on five years of DoNotPay data to successfully classify the emails,” Browder, whose work we have profiled in-depth before, told Digital Trends. “As a result, it will work with any [message] in the correct category. This technical approach has been our long term vision for a while. Currently, most of our users come to DoNotPay with a problem. But in the future, we want ML to be able to act on peoples’ behalf automatically and ‘push’ savings to people that they didn’t even know about.”
