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Solve Intelligence works with over 700+ patent teams as they bring AI into daily practice, and the same pattern shows up again and again: recognising that AI helps is easy, but building consistent, team-wide use is not. Adoption tends to stall for a handful of reasons, from informal early experiments to unclear decision making, and a promising trial can fade out without anyone establishing whether the tool or the rollout was at fault. This playbook lays out the process that gets a team from first experiment to settled habit, with the attorney's judgment in control at every step.

AI makes it practical to rerun patent intelligence as products and patent rights develop. For example, at concept stage, broad freedom-to-operate screening identifies the rights that merit attention. As the design matures, selected patents are escalated for feature-by-feature claim charts, while scheduled monitoring refreshes the analysis when claims are amended or an application proceeds to grant.

This contrasts with the traditional approach, in which landscapes, FTO reviews, and portfolio analyses were commissioned as separate projects at fixed stages. Each took substantial time to complete and was rarely repeated.

The final review before a U.S. patent filing should not be another linear read-through. Rather, it should be a controlled quality-assurance step: a systematic check of the relationships among the claims, specification, and drawings while the full range of corrective options is still available.

Done well, pre-filing QA catches errors that are inexpensive to fix at the drafting desk but costly after filing. Done poorly, it can leave the applicant facing an avoidable rejection, a narrowing amendment, a priority problem, or a validity challenge years later.

Key Takeaways:

• Pre-filing is the best time to correct disclosure, claim, and drawing defects without creating new-matter or priority complications.
• Antecedent basis gaps, contradictory claim dependencies, and terminology drift are the most common pre-filing defects, and all are correctable before filing.
• Section 112(a) review is substantive, not clerical: a broad range or functional limitation may warrant scrutiny even when the claim reads cleanly.
• Automated patent proofreading identifies candidate defects for attorney review but does not substitute for legal judgment on claim scope, support, or strategy.

Patent attorneys can now directly connect with iManage into Solve Intelligence’s platform, further streamlining your patent workflows.

The best patent applications are built from deep context. Claim sets that hold up, specifications that anticipate rejections and objections, arguments that resonate with examiners and legal and IP decisions that align with business and client needs. All of this depends on the attorney having the right materials at the right time. That's why we integrated Solve Intelligence directly with iManage.

iManage is where IP practices and firm intelligence lives. It's the document management platform trusted by thousands of legal organizations globally, where client disclosures land, where prosecution histories are stored, where the institutional knowledge of a firm accumulates over years. Now, that knowledge is directly accessible inside Solve.

Solve’s Figure Builder is the integrated environment within the Solve platform where you can generate, edit, label and refine figures. It brings figures into the drafting process, alongside claim and specification drafting so consistency, and compliance with 37 CFR §1.84, is maintained across your application from the very first sketch to the version you file.

Key Takeaways:

• Create, edit and finalize figures for your patent filings, both manually and with AI assistance.
• Bring figure management into the heart of the drafting process to ensure you have the figures you need, when you need them.
• Propagate changes in terminology and reference numerals across your whole application with ease.
• Convert disclosure documents or claims into labelled line drawings in a single session, and then use them as the basis for your detailed description.

We're delighted to welcome Bree Vculek to Solve Intelligence as our newest Legal and Product Engineer.

Solve Intelligence is pleased to announce a strategic partnership with HGF, one of Europe’s leading intellectual property firms. The collaboration is focused on a clear objective: customising AI-driven drafting workflows to meet the specific needs of HGF and some of its clients.

Rather than adopting a one-size-fits-all approach, HGF is working closely with Solve Intelligence to shape how the drafting platform behaves across different technologies, client preferences, and drafting styles. The built-in, customisable features available in Solve’s platform are what makes this possible.

"We evaluated the field carefully before committing. Solve Intelligence delivered the drafting quality our attorneys demand and integrated seamlessly into how they already work. We are investing in the foundation for HGF's future practice."

Richard Hodkinson, Chief Technology Officer at HGF

Solve Intelligence participated as a sponsor of FICPI’s ABC Meeting 2026 in Nashville, with CEO and Co-founder Chris Parsonson, demonstrating the practical application of a purpose-built patent AI platform. Patent attorneys and litigators convened for a key session addressing a central question: what is required for AI to be ready for patent practice? 

Key Takeaways:

• Solve Intelligence supports the full patent lifecycle across 700+ IP firms, from invention disclosure through litigation.
• One firm that adopted Solve Intelligence mid-fiscal year exceeded its billing targets by $1 million by reallocating AI-saved time to higher-value work.
• In-house teams now require outside counsel to use AI tools, making AI fluency a firm selection criterion rather than a differentiator.
• Attorneys report that ROI is not simply about increasing speed, but about reallocating the time saved to higher-value strategies, cross-sell analysis, and client insights.