Client Background: A multinational insurance corporation with operations across 15 countries required comprehensive intelligence on specialized insurance defense attorneys to optimize their legal vendor network and reduce litigation costs.

Challenge: The client’s legal procurement team struggled to identify qualified insurance defense lawyers across multiple jurisdictions, lacked visibility into attorney performance metrics, and needed standardized data for vendor evaluation and cost comparison analysis.

Solution: Hir Infotech deployed our AI-powered lawyer data scraping platform to extract comprehensive attorney profiles from 50+ legal directories, state bar databases, and court filing records across the USA, UK, Germany, and Australia. Our system captured practice specializations, case outcomes, fee structures, and peer ratings for 15,000+ insurance defense attorneys.

Results: The corporation achieved 35% reduction in legal spend through data-driven vendor selection, improved case outcome rates by 28%, and streamlined vendor management processes across all jurisdictions. The comprehensive attorney database enabled strategic negotiations and performance-based fee arrangements.

Client Testimonial: “Hir Infotech’s lawyer data intelligence transformed our legal procurement strategy. Their comprehensive attorney database and performance analytics enabled us to identify top-tier counsel while significantly reducing our legal spend.” – Chief Legal Officer