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AI doesn’t replace expertise—it amplifies it. That’s the headline finding from new research on AI in software development from Google Cloud (the 2025 DORA report), and many lessons from the report apply directly to patent law.

System-oriented thinking: In software development, the report concludes that when your underlying systems are strong, AI multiplies your impact; when they’re messy, AI multiplies the problems. In the law, that means drafting tools alone won’t cut it. Without solid workflows, you simply generate weak or inconsistent drafts faster.

The report finds that what matters most for success is the foundation underneath the tools. In software, the best teams invest in internal platforms—the connective tissue that ensures AI productivity gains flow through the entire organization, not just one task.

Systems-oriented design for patents: The parallel in patent law is clear: firms need an integrated backbone that connects docketing, client management and payment systems, templates and style guides, shared prompt and playbook libraries, tool evaluation checks, and traceability from claims to specification to disclosure support.

This foundation turns local AI speed (a quicker draft) into systemic results (better drafts, less friction, smoother prosecution, fewer office actions, stronger patents, and happier clients). It also helps resolve the tension between speed and stability: moving quickly without multiplying downstream rework.

The takeaway: don’t start and end with shiny tools. The winning firms will need to reimagine their practices from the ground up, and create well-designed systems that allow AI to truly amplify the expertise they already have.

Source: LinkedIn Post by Michael Drapkin

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