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Supporting patent research operations at a Global IP Services startup

Supporting a New York–based patent research firm by building and managing a high-quality research support, scalable delivery and long-term growth.

The Challenge

Building a scalable patent research capacity

Our client, a New York–based startup offering global patent research services, supports leading companies and law firms with high-quality search and analysis. In its early stages, the firm required additional research capacity to address gaps in internal resources while maintaining consistent quality.

As demand grew, the challenge evolved from supplementing bandwidth to ensuring reliable, scalable operations across all research outputs, without compromising standards or client trust.

The Solution

Fully integrated research partnership

We developed a structured, end-to-end research support model, evolving from being a supplemental resource into a fully integrated extension of the client’s team. Over time, we assumed responsibility not only for research delivery, but also for quality control and client-facing coordination.

KEY SOLUTIONS

End-to-end research support

Delivered and reviewed patent search projects across a wide range of technologies and jurisdictions

Centralized quality control systems

Established consistent review processes to ensure accuracy and reliability across all outputs

Client-aligned, client facing operations

Managed workflows and supported client interactions in line with the firm’s standards and expectations

Our Impact

Sustained high-volume delivery: Completed thousands of patent research projects with consistent quality

Operational scalability: Enabled the firm to expand its service capacity without compromising reliability

Strategic growth support Significantly contributed to the firm’s leadership in the industry and readiness for acquisition by a publicly traded company

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The challenge

Managing a growing pipeline of patent research while workflows, quality control, and client coordination became harder to standardize.

Why it worked

Deep operational integration

By embedding into the client’s workflows and taking on coordination, review, and delivery, we created a more structured and reliable operating model.

The outcome

  • Centralized research and review processes
  • More consistent and controlled delivery
  • Stronger operational foundation for growth
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