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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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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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AI in IP: Key Takeaways from Global IP Exchange 2026

If there was one overarching theme throughout the conference, it was this: AI is here, and we need to figure out how to use it responsibly. 

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Patent Year in Review

The Year in Patents: 10 Things You Need to Know

2025 didn’t just add new wrinkles to prosecution and post-grant practice. It pushed patent teams into a different operating model. More cost pressure. More automation. More scrutiny on outcomes.

 

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LegalTech Leader Juristat Doubles Enterprise Value Following Major Growth Investment

Juristat, the trusted leader in patent analytics and predictive data science for intellectual property (IP) strategy, today announced a significant growth investment that has doubled its enterprise value. 

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Takeaways From IP Counsel Cafe Fall 2025: What In-house Patent Analytics Teams Need Now

Takeaways From IP Counsel Cafe Fall 2025: What In-house Patent Analytics Teams Need Now

While attending IP Counsel Cafe’s Fall Meeting in New York, I kept hearing the same thing in every hallway and panel: leadership wants ROI.

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