

Case Studies
Architecting AI Operations
Rigorous operational blueprints, risk mitigation frameworks, and zero-data-retention compliance briefs engineered specifically for enterprise publishers and AmLaw 200 firms.
Case Studies
/ Report 01
AI-Powered IRS Notice Analysis Platform
AI-Powered Legal Market Intelligence
Challenge
Producing large volumes of legally sensitive educational content presents significant operational challenges. Manual publishing workflows are slow, difficult to scale, and can introduce consistency, quality and governance risks.
Approach
Designed and implemented an automated publishing platform that transforms structured content opportunities into fully published educational resources.
The system:
identifies pending article opportunities from a central content universe
generates long-form informational articles using large language models
performs secondary AI review to improve factual reliability and reduce risk
creates contextual editorial imagery automatically
assembles branded article layouts and metadata
categorises and publishes articles directly to WordPress
maintains publication status and governance tracking
Outcome
Created a high-velocity publishing architecture capable of producing consistent, legally sensitive educational content with minimal manual intervention.
Challenge
IRS notices are often technical, lengthy and difficult for individuals to interpret. Many taxpayers struggle to understand what the notice means, what issues have been identified by the IRS, what information may be required, and whether professional assistance may be appropriate. This frequently creates confusion and delays at the earliest stages of issue assessment and client intake.
Approach
Designed and implemented an AI-powered intake and triage platform that transforms IRS notices into structured, plain-English informational reports.
The platform:
securely ingests PDF and image uploads
extracts key notice details, dates and proposed adjustments
identifies the issues, forms and supporting documents referenced by the IRS
translates technical tax language into clear, consumer-friendly explanations
summarises commonly considered response pathways
organises information to support early issue assessment and professional onboarding workflows
Outcome
Created an AI-assisted client triage platform capable of rapidly converting complex IRS correspondence into structured, easy-to-understand reports.
Challenge
Important developments affecting clients, prospects and competitors are scattered across news sources, industry publications and corporate announcements. Professional services firms often become aware of significant events only after opportunities have already emerged. AI-powered market intelligence helps law firms understand what clients, prospects and competitors are doing before opportunities are missed.
Approach
Designed and implemented an AI-powered market intelligence platform that continuously monitors external information sources and transforms unstructured information into actionable legal intelligence.
The platform:
monitors news feeds and industry sources
extracts organisations and named executives
identifies events that may create legal needs, including acquisitions, funding rounds, restructures and leadership changes
prioritises developments by strategic relevance
generates concise intelligence briefings and identifies relationship opportunities
Outcome
Created an AI-assisted intelligence platform that supports more informed business development and relationship management.


