![]() Because remember, PII is not limited to just text, alone. The inevitable side effect of the unstructured data boom is that capturing a person’s PII is as easy as snapping a photo or pressing record. ![]() The Challenges of PII Redaction During E-discovery Especially when you consider that legal professionals are dealing with much more than just text documents, but unstructured media files, too. That being said, for the modern attorney, PII redaction can be a lot more difficult than it might sound. Under these regulations, even companies located outside of the EU face painfully steep fines for the unauthorized release of an individual’s personally identifiable information.īottom line? Redacting PII in discovery isn’t something you want to mess up. And that’s just on the home front.Ībroad, EU law makers have thrown down a pretty serious PII detection gauntlet, in the form of the General Data Protection Regulation (GDPR), which was implemented in 2018. The consequences for not redacting PII in discovery can range from embarrassing, to expensive, all the way up to civil liability, and-depending on the circumstances-even criminal charges. Hence, it’s sometimes necessary for firms to flag and redact even non-sensitive information, before disclosing certain documents. ![]() While these things aren’t as invasive as sensitive PII, non-sensitive PII might still need to be redacted, if it’s combined with other specific identifiers.įor example, if I had a document that read: “The following schedule is the personal itinerary for that one person who runs the country, and lives in the big, white house in Washington D.C….” you’d obviously know who I was talking about, even without me having to actually reveal any sensitive PII. This category includes things that don’t quite spell out your name and address with a flourish, but definitely flirt a little too close to home for complete comfort. On the other hand, you have non-sensitive PII. Biometric data (such as retina scans, voice signatures, or facial geometry).Photos and videos (particularly of the face, or other identifying features).This type of information is pretty obviously personal, and-according to the Federal Rules of Civil Procedure (along with the rules of most states)-law firms are required to redact it before making documents public. Non-sensitive PIIĪs you might already have inferred, sensitive PII is the big no-no. PII is roughly divided into two categories: According to Homeland Security, PII is defined as any kind of information that either reveals the identity of a person, or else gives enough hints for someone to infer that identity. The phrase, itself, is a mouthful (unfortunately, not of the cake variety), which is why most people simply shorten it to its acronym, PII. Personally Identifiable Information: A Really Important Mouthful of Wordsįirst off, let’s talk about personally identifiable information, and why it’s so important to protect. In this article, we’ll talk about what PII is, how unstructured data has expanded its scope, and discuss all the ways in which AI can both better protect individual privacy, and streamline the e-discovery redaction process, all at the same time. However, with the introduction of Veritone’s automated redaction software, attorneys can now have their cake, and eat it too. Until recently, getting all of that in a single platform has been a tall order. One that’s time sensitive, cost-effective, and can be fully customized to meet the fluctuating needs of any compliance request, all without damaging any original files. An automated redaction software that’s not only capable of editing sensitive text from documents, but that’s also equipped to handle faces, objects, and information inside unstructured media. Unlike in days gone by, redacting unstructured data can’t be accomplished by hand with a box of good sharpies. However, one area we’ve yet to address, is what to do about all the personally identifying information (PII) that’s often contained within unstructured media files. So far, our discussions about the AI legal revolution have revolved around the many ways artificial intelligence is helping to combat the unstructured data crisis looming over the legal industry.
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