Laserfiche adds auto-classification capabilities to transform data into business intelligence

Laserfiche, a leading SaaS provider of intelligent content management, is making major enhancements to its AI-powered data extraction tool, Smart Fields—introducing automated document classification and tagging to allow organizations to move from unstructured content to informed decisions in seconds.

Using natural language prompts instead of rigid, ruled-based OCR, Smart Fields can now identify document type—such as invoices, taxpayer identification forms, or student transcripts—and automatically apply the correct metadata template using AI, the company said.

Users can also use Smart Fields to automatically add informational and security tags to files that meet certain criteria, defined using a natural language prompt. Users can capture key details, route documents, and apply the proper metadata tags instantly and at scale.

“Success in today’s AI-driven landscape is defined by speed to insight,” said Michael Allen, chief technology officer at Laserfiche. “By using AI in Laserfiche content management, we are transforming organizations’ digital repositories into active engines for business intelligence. Smart Fields allows users to bypass the friction of manual data entry, saving time for more high-value decision-making.”

Traditional capture methods often require specialized technical knowledge and complex configuration. According to the company, Laserfiche Smart Fields, first launched in 2025, eliminates this barrier by allowing users to describe the data they need using natural language.

Smart Fields has helped customers capture metadata from content such as financial documents, vendor forms and legal contracts, cutting document management processes down from months to seconds. These enhancements reduce operational overhead and human error, and support enterprise-wide data consistency while freeing up technical resources, the vendor said.

Key benefits include:

• Automated organization: Smart Fields eliminates manual sorting by classifying documents on entry.
• Dynamic security controls: Auto-tagging supports both informational and security classifications, enabling organizations to automatically protect sensitive content.
• Simplified automation: Classification data can trigger workflows, like approvals or retention schedules, without complex coding.

For more information about this news, visit www.laserfiche.com.