Automated content publishing system for law firm: regulatory data extraction, AI processing, approval workflow, WordPress integration

The Problem

A law firm specializing in regulatory compliance needed a way to publish timely content based on newly released regulatory documents. Their target audience relied on updates about regulatory changes, but manually monitoring public legal databases, extracting relevant information, writing articles, and publishing them was consuming significant attorney time. This wasn't sustainable, and delays meant competitors were often first to publish.

The firm had access to public regulatory databases where new documents were published regularly. The challenge was automating the entire pipeline: monitoring for new releases, extracting structured data from PDFs, processing that data into readable articles, generating accompanying visuals, and getting those articles published with proper oversight. The content needed to be accurate, professional, and consistent with the firm's editorial standards. No room for AI hallucinations or off-brand output.

They needed this to run autonomously. Check for updates daily, process new documents automatically, generate draft articles, route them for approval, and publish once cleared. The system had to handle PDF extraction reliably, integrate with AI APIs for content generation without producing generic fluff, and connect everything back to WordPress for publishing. It also needed to capture any engagement from the published content: contact form submissions, comments, inquiries, all flowing back into their internal CRM.

The requirement wasn't someone to set up a WordPress blog. It was someone who could architect a fully automated content pipeline that attorneys could trust to handle regulatory data accurately and present it professionally.

The Solution

Reduced attorney content production time by 80% by building an automated regulatory monitoring and publishing platform. The system monitors multiple regulatory databases, extracts data from newly released documents, generates review-ready articles, routes them through approval, and publishes automatically to WordPress while capturing all reader engagement back into the firm's CRM.

I built a scheduled automation system using cron jobs hosted on a server. Multiple jobs run on different schedules throughout the day, each monitoring specific regulatory data sources. When a new document is detected, the system downloads the PDF, extracts the structured data, and processes it through custom parsing logic to identify key regulatory changes, affected parties, and compliance requirements.

Extracted data is sent to AI APIs with carefully designed prompts that enforce the firm's editorial voice and structure. The AI generates article drafts based on the regulatory data, not generic commentary. These drafts are stored in Airtable along with document metadata, extraction timestamps, and processing status. A separate automation generates article images using AI image generation APIs, producing visuals that match the firm's brand guidelines.

Once the draft article and image are ready, the system triggers an approval workflow. Attorneys review the content in Airtable, make edits if needed, and mark it approved. Upon approval, the article is automatically published to WordPress. The WordPress site runs custom plugins I developed to handle bidirectional data flow. Contact form submissions and blog comments are captured and sent back to Airtable via webhooks, creating a full engagement record for each piece of content.

Airtable serves as the central orchestration layer. Every regulatory document, every article draft, every approval status, every reader inquiry is logged and tracked. The firm has full visibility into what's been published, what's pending approval, and which content is driving engagement. The cron jobs handle the heavy lifting: PDF extraction, data processing, API calls, error handling, retry logic. The attorneys handle editorial oversight. WordPress handles publishing and reader engagement.

Technical Stack

• Airtable: Central data hub for regulatory documents, article drafts, approval workflows, and engagement tracking
• Cron jobs (hosted): Scheduled automation for monitoring regulatory sources, PDF extraction, data processing, and API orchestration
• AI APIs: Content generation and image creation with custom prompts for brand consistency
• WordPress: Publishing platform with custom plugins for automated posting and engagement capture
• Custom WordPress plugins: Bidirectional webhook integration for contact forms and comments back to Airtable
• PDF extraction and processing: Automated data extraction from regulatory documents with structured output

The Result

The firm went from manual content creation to a fully automated publishing pipeline. Regulatory documents are monitored continuously, processed automatically, and converted into professional articles without attorney involvement until the approval stage. Attorneys now spend their time reviewing polished drafts instead of writing from scratch or manually monitoring regulatory databases.

The system runs daily, extracting new regulatory data, generating article drafts, producing branded images, and queuing content for approval. Once approved, articles publish automatically to WordPress. Every contact form submission and blog comment flows back into Airtable, creating a complete engagement record. The firm has visibility into the entire content pipeline: what's been processed, what's pending approval, what's published, and which articles are driving reader inquiries.

This wasn't about setting up WordPress automation. It was about building a reliable content pipeline that handles complex regulatory data extraction, AI-assisted content generation with editorial oversight, and full bidirectional integration between WordPress and the firm's internal systems. The system works autonomously, scales with regulatory volume, and maintains the firm's editorial standards without requiring attorneys to monitor databases or write first drafts manually.