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CASE STUDY

AI-Powered Patent Office Action Response Automation Using Amazon Bedrock 
 
 

Mactores partnered with Sterne Kessler Goldstein & Fox (SKGF) to design an AI-powered framework for automating patent Office Action responses using Amazon Bedrock. The solution reimagined manual, time-intensive prosecution workflows into an AI-assisted, standardized, and scalable system, targeting 50–80% efficiency gains, reduced malpractice risk, and multimillion-dollar annual cost savings.

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About 
The Customer

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Sterne Kessler Goldstein & Fox is a leading intellectual property law firm with over 45 years of experience in patent prosecution, litigation, and strategic IP counseling. The firm is known for its high standards of legal rigor, consistency, and client trust.

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Customer Situation

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Sterne Kessler patent prosecution teams faced increasing pressure from rising Office Action volumes, faster USPTO timelines, and growing client expectations for speed and predictable pricing. Responding to an Office Action required attorneys to manually read lengthy, unstructured PDFs, analyze prior art, determine strategy, draft arguments and claim amendments, perform multiple review cycles, and manage filing deadlines.

These workflows were highly time-intensive, typically requiring 8–12 hours per response. There was a significant cognitive load on attorneys, leading to inconsistent outcomes.

Our Approach

Mactores conducted a focused 4-week rapid assessment to evaluate SKGF’s readiness for AI-powered Office Action automation using Amazon Bedrock. The team mapped existing prosecution workflows, analyzed attorney time allocation, assessed data availability, and identified the highest-impact automation opportunities across Office Action review, prior art analysis, strategy selection, drafting, quality control, and filing.

A future-state architecture was designed using a multi-agent, event-driven approach, where specialized AI agents perform extraction, reasoning, drafting, validation, and compliance checks. Retrieval-Augmented Generation (RAG) leveraged SKGF’s historical Office Actions, examiner patterns, and successful past arguments to produce context-aware recommendations while maintaining attorney oversight through human-in-the-loop controls.



Business Outcomes

The AI-powered Office Action response framework reduced average response time from 8–12 hours to 2–4 hours, delivering 50–80% efficiency gains. Prosecution costs dropped by 25–35%, and procedural errors were reduced by up to 40%. The solution created a strong ROI case with projected annual savings of $2.5–4M for a 100-attorney practice.

Technical Outcomes

The solution implemented a secure, multi-agent architecture that automated Office Action analysis, strategy selection, drafting, and compliance validation using RAG over historical data. Event-driven workflows enabled real-time processing and deadline awareness, while standardized templates and validation logic improved consistency and reduced risk.
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Getting 
Started

Mactores initiated the engagement with discovery workshops involving patent attorneys, practice leaders, IT stakeholders, and docketing teams. Over four weeks, the team assessed current workflows, data readiness, and technical constraints; designed a future-state AI architecture on Amazon Bedrock; and delivered a detailed implementation roadmap with ROI projections and pilot recommendations.

The rapid assessment provided SKGF with a low-risk, AWS-funded path to validate AI adoption, define next steps, and move confidently toward a production-grade Office Action automation platform.

 

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