📦 About this package 📦

✨ 50+ HTML blocks (call-to-action, features, pricing tables...)

💎 4+ HTML Templates

🤖 Free updates and support.

👊 Built using Bootstrap 4 (Free update to the coming version 5)

🤝 You'll get HTML & CSS files (send us an email if you want to get SCSS files)

🧲 Supports all browsers except the very old versions like Internet Explorer 11

🧾 License 🧾 You can use Frontendor for basically anything. Your license gives you permission to build as many of your own projects or client projects as you like.

🧾 Refund Policy 🧾 If you're unhappy with your purchase for technical or code problems, email us at

✉️ hello@frontendor.com within 60 days and we'll refund you in full.

Blackout's ability to redact quickly – even when managing large volumes – makes it the best choice for complex redaction tasks involving sensitive information. Reduce review time, lower costs, and create workflows that increase accuracy.

Any Industry: Finance, Construction, Mining, Transport, Retail, Telecomms, Real Estate, Education, Insurance, Pharmaceuticals ​ Any Task: Compliance, Litigation Review, HR Matters & Equitable Hiring, FOIA Requests, DSARs, Majeure Disputes, Anonymizing Reports

Any Sensitive Info: PII, PHI, PCI, Account IDs, Dates, Emails, ​Phone #s, Addresses, Charts, Pivot Table Data, Embedded Objects, Notes/Comments

BENEFITS • Cut time and costs out of reviews with automated redactions • ​Rule-based redaction allows for versatile application of Blackout to any task requiring markup • Create efficiencies that drive down human error by redacting words, phrases, and text patterns simultaneously • Ensure privileged information is secure while retaining native documents

FEATURES • Seamlessly integrates into Relativity 10+ • Auto-redacts any sensitive information in imaged, native PDF, or native Excel file • Redacts information not visible in the files, including file attachments, meta data, and document notes/comments • Quality check with approval, reject and override options • Mass import/export functions via .CSV file