Manual upgrades bottlenecked the roadmap. AI agents now handle the refactoring, letting engineers run large-scale updates in parallel.
A global tech and AI company powering the legal, tax, and compliance industries, running hundreds of legacy .NET Framework applications accumulated over years of product development.
The legacy apps were functional but expensive to maintain and slow to update, pulling engineering effort away from new product initiatives. Existing...
“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.
Thomson Reuters's App modernization is part of this use case:
Related implementations across industries and use cases
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
Overtaxed servers left 13 legal models trailing as laws changed. AWS migration cut costs 40%, throughput up 170%, opened new markets.
Manually reviewing 30,000 files threatened a tight 3-week deadline. AI now drafts custom privilege logs for attorneys to quickly refine.
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
.NET dependencies chained the platform to Windows, blocking new features. Manual migration was out of reach—AWS automated it.
Manual admin bottlenecked 60,000 frontline hires. Now, an AI text agent screens and schedules, freeing recruiters to engage candidates.
Adoption came easy; deep integration didn't. Lawyers seconded from billable work became legal engineers, then led change firm-wide.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Manual upgrades bottlenecked the roadmap. AI agents now handle the refactoring, letting engineers run large-scale updates in parallel.
A global tech and AI company powering the legal, tax, and compliance industries, running hundreds of legacy .NET Framework applications accumulated over years of product development.
The legacy apps were functional but expensive to maintain and slow to update, pulling engineering effort away from new product initiatives. Existing...
“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.
Thomson Reuters's App modernization is part of this use case:
Related implementations across industries and use cases
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
Overtaxed servers left 13 legal models trailing as laws changed. AWS migration cut costs 40%, throughput up 170%, opened new markets.
Manually reviewing 30,000 files threatened a tight 3-week deadline. AI now drafts custom privilege logs for attorneys to quickly refine.
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
.NET dependencies chained the platform to Windows, blocking new features. Manual migration was out of reach—AWS automated it.
Manual admin bottlenecked 60,000 frontline hires. Now, an AI text agent screens and schedules, freeing recruiters to engage candidates.
Adoption came easy; deep integration didn't. Lawyers seconded from billable work became legal engineers, then led change firm-wide.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.