Key Takeaways

• Automated data remediation finds, classifies, and defensibly deletes redundant, obsolete, and trivial (ROT) files across every connected system.
• File cleanup cuts storage costs, reduces compliance risk, and prepares data for AI without migrating any files.
• Poor data quality costs organizations $12.9 million annually, according to Gartner, making cleanup a measurable financial priority.
• Data breaches involving dark data cost 16.2 percent more and take over 26 percent longer to identify, per IBM.
• Shinydocs classifies and governs content across file shares, cloud repositories, and legacy systems without migrating files first.

AI doesn’t fix a data problem. It amplifies it. Before you implement anything, you need a clear plan for preparing your legal data for AI.

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