Contract routing took 2 days of manual checks. AI now finishes in 60 minutes, escalating only complex exceptions for human review.
Small in-house legal teams often review thousands of documents annually, facing pressure to maintain precision while managing rising contract volumes and complex regulations.
A client needed to process vast volumes of unstructured data, but manual review processes and reliance on external counsel created costly...
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Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Engineers lost 50% of time searching systems. AI now correlates data for instant answers, boosting daily ticket closures by 40%.
Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
Context limits held back deep reasoning. Now, agents analyze thousands of documents while lawyers edit at every checkpoint.
Paralegals spent four days analyzing 400-page bundles. Claude now runs 300-point checks and generates precise markup in minutes.
SSetup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.