Manual upgrades bottlenecked the roadmap. AI agents now handle the refactoring, letting engineers run large-scale updates in parallel.
A global technology provider for the legal, tax, and compliance industries serves as a primary information source for businesses and professionals worldwide.
Manual upgrades of legacy .NET Framework applications consumed excessive engineering time, creating a maintenance bottleneck that competed with the...
“We were spending too much time upgrading old code manually. It was slowing us down and competing with our roadmap. Other cloud providers tooling helped — but wasn’t designed to modernize at scale or harness generative AI. We needed a leap, not just an incremental fix.”
Information services and software for legal, tax, and compliance professionals.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Devs spent 2 hours reviewing unreliable code. Splitting research and verification agents cut reviews to 15 mins with 99.9% uptime.
Paralegals spent four days analyzing 400-page bundles. Claude now runs 300-point checks and generates precise markup in minutes.
Lawyers lost hours hunting clauses in scattered files. AI now finds and refines terms directly in Word, freeing counsel for strategy.
Devs spent 2 hours reviewing unreliable code. Splitting research and verification agents cut reviews to 15 mins with 99.9% uptime.
Legacy systems delayed releases for 12 months. AI modernized 350k lines of Java, enabling the team to ship four apps in four months.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Manual upgrades bottlenecked the roadmap. AI agents now handle the refactoring, letting engineers run large-scale updates in parallel.
A global technology provider for the legal, tax, and compliance industries serves as a primary information source for businesses and professionals worldwide.
Manual upgrades of legacy .NET Framework applications consumed excessive engineering time, creating a maintenance bottleneck that competed with the...
“We were spending too much time upgrading old code manually. It was slowing us down and competing with our roadmap. Other cloud providers tooling helped — but wasn’t designed to modernize at scale or harness generative AI. We needed a leap, not just an incremental fix.”
Information services and software for legal, tax, and compliance professionals.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Devs spent 2 hours reviewing unreliable code. Splitting research and verification agents cut reviews to 15 mins with 99.9% uptime.
Paralegals spent four days analyzing 400-page bundles. Claude now runs 300-point checks and generates precise markup in minutes.
Lawyers lost hours hunting clauses in scattered files. AI now finds and refines terms directly in Word, freeing counsel for strategy.
Devs spent 2 hours reviewing unreliable code. Splitting research and verification agents cut reviews to 15 mins with 99.9% uptime.
Legacy systems delayed releases for 12 months. AI modernized 350k lines of Java, enabling the team to ship four apps in four months.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.