The use of personally identifiable information (PII) is widespread and includes various types of data that can identify individuals. Detecting and redacting PII is essential for privacy protection and compliance. Failure to do so can lead to significant consequences. The legal system utilizes electronic discovery (eDiscovery) to identify and produce electronically stored information (ESI) in litigations. Using Amazon Comprehend, Reveal’s Logikcull platform can detect and redact PII from legal documents, helping legal professionals find valuable information, reduce costs, and mitigate risks.
Protecting Privacy and Redacting PII with AI
The Challenge of PII Detection
Today, personal identifiable information (PII) is everywhere, from emails to videos to PDFs. PII refers to any data that can be used to identify an individual, such as name, contact information, financial details, and more. Safeguarding privacy and complying with regulations is crucial for organizations, but finding and redacting PII can be challenging due to the vast volume and variety of data, encryption, false positives and negatives, and legal complexities. Failure to accurately detect and redact PII can lead to severe consequences, including legal penalties, reputation damage, and data breaches.
The Importance of eDiscovery
In the legal system, eDiscovery is the process of identifying, collecting, and producing electronically stored information (ESI) in response to a lawsuit or investigation. Organizations involved in eDiscovery for litigations need to be careful not to accidentally share PII. This is especially important for government agencies, school districts, and legal professionals who handle sensitive information. Redacting PII through acts like the Freedom of Information Act and Digital Services Act is crucial for protecting individual privacy, ensuring compliance, and maintaining trust in government and digital services.
AI Solutions for PII Detection and Redaction
Organizations can use various methods to search for and redact PII, including keyword searches, pattern matching, machine learning, and data classification software. Reveal’s AI-powered eDiscovery platform, Logikcull, offers a self-service solution for legal professionals to process, review, tag, and produce electronic documents. This solution helps attorneys discover valuable information while reducing costs and mitigating risks.
How Amazon Comprehend Helps
Reveal’s experts have used Amazon Comprehend, a natural language processing service, in their document processing pipeline to detect and redact PII. Amazon Comprehend can extract insights about the content of a document and identify PII in customer emails, support tickets, social media, and more.
The Solution Process
Reveal’s engineering team implemented a two-pass solution using the ContainsPiiEntities and DetectPiiEntities APIs. In the first pass, the team detects documents that might contain PII by analyzing the text using the ContainsPiiEntities API. The documents with a confidence score of over 0.75 are tagged as PII Detected.
In the second pass, users can search for documents containing PII using Logikcull’s advanced search filters. The DetectPiiEntities API is used to identify individual instances of PII in the selected documents. Users can then choose to redact specific PII entities using Logikcull’s web interface.
The Results
Logikcull, powered by Amazon Comprehend, is currently processing over 20 million documents each week. The solution has successfully detected and redacted PII, providing valuable insights to their customers while maintaining privacy and compliance.
Conclusion
Amazon Comprehend enables Reveal’s Logikcull technology to detect and redact PII at scale, reducing costs and improving efficiency. By leveraging AI solutions like Amazon Comprehend, organizations can protect privacy, comply with regulations, and maintain trust with customers and stakeholders.
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