You've Been Asked to Develop an AI Strategy for Your IP Program. Now What?

Internal IP teams are getting the mandate to integrate AI, but don't have the frameworks to respond strategically.

We help you develop and implement a coherent AI strategy to deliver measurable value.

We develop AI integration strategies that create value for your organization.

The mandate is clear: "Integrate AI into patent workflows."

But most IP leaders are stuck between the ask and the answer:

  • Where should AI actually fit in our processes?

  • When should we build on internal platforms vs. buy external tools?

  • How do we design an approach that gets adopted, not ignored?

  • What does success actually look like? How do we measure and communicate it?

We answer these questions with a strategic framework tailored to your organization—then implement it to prove the value.

Get Started

Establishing your path.

Every AI integration strategy we develop addresses four core questions

    • Build on internal platforms first, buy specialized tools strategically

    • Prioritize broad accessibility where it creates advantage

    • Focus on measurable business outcomes, not technology for its own sake

    • Design for adoption and sustainability, not just capability

    • Quick wins that build momentum and credibility

    • Strategic capabilities that unlock long-term value

    • Gaps that require external tools with clear ROI

    • Capabilities that become viable with enterprise-wide access

    • Phased rollout strategy with clear milestones

    • Integration with existing workflows and tools

    • Change management addressing organizational barriers

    • Governance ensuring quality and responsible AI use

    • Efficiency and quality metrics (cost reduction, time savings, output improvments)

    • Capability metrics (new activities now possible)

    • Adoption metrics (usage rates, satisfaction scores)

    • Executive reporting and communication

Why This Matters

Most Organizations Are Making These Mistakes

  • Buying tools before defining the strategy

  • Piloting technologies without a coherent philosophy

  • Focusing on AI capabilities instead of business outcomes

  • Treating this as an IT project instead of a strategic initiative

Our Approach

We help you avoid these pitfalls by starting with strategy, not tools.

  • Define your AI integration philosophy first

  • Make build vs. buy decisions strategically, not reactively

  • Tie every capability to measurable business value

  • Treat this as organizational change, not just technology deployment

Our Process

View Details

01

Audit & Strategy Development

We map your current patent workflows and assess your enterprise AI capabilities against your actual needs.

Est. time: 8 - 12+ weeks

03

Optimize and Expand

We continue to measure, refine, and expand your AI capabilities as your needs evolve, platforms advance, and adoption and engagement grows.

Est. time: Ongoing

Test & Implement

We prioritize activities to identify short-term wins and longer-term process shifts. We pilot new capabilities and support deployment implement so we demonstrate that the approach delivers real value.

Est. time: 12 - 16+ weeks

02

How we engage.

  • Phase 1: Audit & Strategy Development

    Est. Time: 8 - 12+ weeks

    We map your current patent workflows and assess your enterprise AI capabilities against your actual needs.

    What we evaluate:

    * Current workflows (idea capture, disclosure, novelty search, analysis. etc.)

    * Enterprise AI platform capabilities (Microsoft Copilot, Google Gemini, etc.)

    * Existing tool stack and utilization rates

    * Cultural readiness and organizational dynamics

    You receive:

    * Comprehensive AI integration strategy document

    * Clear decision framework for build vs. buy

    * Implementation roadmap with clear priorities

    * Executive presentation materials

  • Phase 2: Test & Implementation

    Est. Time: 12 - 16+ weeks

    We prioritize activities to identify short-term wins and longer-term process shifts and run implement the first phase of your roadmap to demonstrate that the approach delivers real value.

    We build and deploy:

    Custom workflows on your enterprise AI platforms

    Integrations with existing tools and processes

    Governance frameworks and quality controls

    Measurement dashboards and reporting

    You receive:

    Production-ready capabilities in action

    ROI documentation for leadership

    Validated approach ready to scale

  • Phase 3: Optimize and Expand

    Est. Time: Ongoing

    We continue to measure, refine, and expand your AI capabilities as your needs evolve and platforms advance.

    * Continuous measurement and reporting

    * Strategy refinement as platforms evolve

    * New capability development

    * Executive business reviews

Who is this for?

Who need a coherent answer to "what's our AI strategy?"

Chief Patent Counsel

Responsible for justifying innovation investments to the C-suite

General Counsel

When we deliver, it’s not just a finished product—it’s a solution you can trust, backed by real care and effort.

IP / Patent Directors

Our expertise. Your benefit.

Our advisors have worked with some of the world’s leading enterprises. Let us share our expertise.

Skip the line.

We’ve seen the pitfalls. We know where things tend to get stuck or fail. We also know what drives success. Rather than pursue a circuitous path that will limit the impact of your program, skip the line and get to your destination sooner.