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Patent analysis and insight

Analysis and insight to bring more predictability, transparency, and equity to your patent prosecution.

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6 Ways Firms Are Scaling Without Losing Margin

6 Ways Firms Are Scaling Without Losing Margin

Patent firms rarely lose margin because demand disappears. They lose it when prosecution work gets harder to deliver at scale. The firms getting this right are tightening intake, pricing around real prosecution complexity, automating office action response and IDS work, and winning more business from the clients they already serve.

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Why stronger AI inputs lead to better patent decisions

Why stronger AI inputs lead to better patent decisions

Better patent data leads to better patent strategy because patent AI is only as useful as the patent-specific data behind it. When tools are grounded in a strong data foundation, they can produce better strategic outputs, stronger patent workflow support, and better patent decisions.

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AI for patent attorneys: Why AI can’t replace attorney judgment

Why AI can’t replace attorney judgment

Patent practice depends on nuance, legal reasoning, client goals, and risk assessment. The most trustworthy AI in patent practice supports attorneys with better patent-specific data and stronger workflow fit, helping them make better strategic decisions without replacing professional judgment.

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AI Meets Patent Analytics: What IP Teams Should Evaluate First

AI Meets Patent Analytics: What IP Teams Should Evaluate First

Generic AI is not enough for patent work. Patent-specific data makes AI more trustworthy, more useful in prosecution workflows, and easier for practitioners to defend to clients and partners.

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Be a change agent for AI in patent law

Being a change agent for AI in patent prosecution

AI can help patent teams reduce manual work and improve workflow efficiency. The challenge is adopting it in a way that supports attorneys, maintains quality, and aligns with real prosecution practice.

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Why patent teams struggle to turn AI adoption into prosecution ROI

Why patent teams struggle to turn AI adoption into prosecution ROI

AI can speed up patent work. It cannot decide what is worth patenting, how much claim scope to give away, or which prosecution strategy actually supports the business. Learn why AI-first patent programs stall, where automation helps in prosecution workflows, and where patent professionals still need to own the judgment.

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Learn practical ways to implement AI in your patent practice, boosting quality and efficiency with clear, actionable strategies from industry experts.

5 Practical Ways to Implement AI in Your Patent Practice

AI doesn’t create savings in patent work by itself. Workflow does. Here are five practical ways patent teams are using generative AI today: defined-scope drafting support, faster first passes, turning calls into deliverables, building repeatable templates, and setting guardrails early. 

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How to manage USPTO backlog

How to Move Patent Prosecution Forward Amid the USPTO Backlog

For patent professionals, the challenge remains: How do you move prosecution forward amid the USPTO Backlog?

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Strengthening Your Patent Portfolio With IDS Audits

Missed disclosures can mean the difference between a strong, enforceable patent and one that crumbles under scrutiny. If undisclosed prior art surfaces during litigation or licensing negotiations, your patent could be at risk of invalidation.

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Solving IP Challenges With Patent Analytics Software

Patent professionals are tasked with navigating a landscape that’s more competitive and resource-constrained than ever. Delivering results faster, managing increasing complexity, and safeguarding clients’ patents require precision tools.

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Are you ready to transform your patent practice?

Patent prosecution is complex – we know. If you’re ready for simpler workflows and more predictable outcomes, give us a call.