DFIN Introduces AI-Powered iXBRL Tagging for SEC Filings, Delivering Breakthrough Speed, Accuracy, and Control for Regulatory Compliance

Newest capability within DFIN’s Active Intelligence^TM suite automates Inline XBRL tag generation and validation, reducing manual effort while maintaining compliance-grade precision.

Donnelley Financial Solutions, a leading global provider of financial regulatory and compliance solutions and the top SEC filing agent, announced the launch of its AI-powered iXBRL tagging capability, a first-of-its-kind advancement designed to transform how organizations prepare and submit SEC financial filings.

The new solution combines advanced AI with expert human oversight to automate the tagging of regulatory filings, helping organizations improve speed, reduce manual effort, and maintain the control required in highly regulated reporting environments. DFIN is initially rolling out AI-powered tagging for Tailored Shareholder Reports (TSR) and N-CSR filings within its Arc Suite® software and for filings completed with DFIN’s tech-enabled managed services offering for investment companies. The company plans to expand the capability to ActiveDisclosure^SM, with other disclosure filings to follow.

“Tagging touches nearly every regulatory filing, and the time required to properly complete it is significant,” said Floyd Strimling, Chief Product Officer, DFIN. “With AI-powered iXBRL tagging, we’re applying automation where it matters most: helping teams move faster, reducing manual effort, improving consistency, and shortening customer cycle times while maintaining the oversight required for confidence in compliance.”

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iXBRL tagging is a mandatory step in SEC filing preparation, requiring every data element in a financial document to be mapped to the appropriate taxonomy before submission through the SEC’s EDGAR system. Historically, this process has required specialized expertise, significant time, and thorough quality checks.

DFIN’s AI-powered tagging capability fundamentally changes this model. By combining large language models with deep SEC taxonomy knowledge and experience, captured within a client-specific knowledge base built on historical filing intelligence, the solution automates initial tag generation while enabling subject matter experts to focus on validation and refinement. The result is a hybrid human-in-the-loop model that delivers both efficiency and precision, with a clear path toward increasingly autonomous, end-to-end AI-driven workflows.

Enterprise-Grade Security Built for Sensitive Data

Recognizing that pre-submission regulatory filings contain highly sensitive, material non-public information, DFIN has built its AI tagging capabilities on a secure, enterprise-grade infrastructure designed to protect client data at every stage.

Key safeguards include:

• Never using client data to train third-party LLMs, contractually enforced.
• Data remains within DFIN’s private cloud, with strict isolation.
• Comprehensive audit logging for full traceability of AI activity.
• Alignment with SOC 2 and ISO 27001 standards.

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