Max is a member of the Partnerships & GTM team at Solve Intelligence, supporting law firms and in-house patent attorneys in adopting AI to enhance their invention harvesting, drafting, prosecution, and claim charting processes. Max started his career in legal technology, first supporting M&A lawyers to streamline due diligence with AI, and then working with capital markets lawyers and company secretaries to ensure accuracy in their public disclosures.
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Why Patent Attorneys Need Purpose-Built AI
Legal AI platforms like Harvey and Legora are valuable productivity tools. Powered by large language models and enriched with legal data sources, firm-specific knowledge, and purpose-built workflows, they perform well on tasks like legal research, document summarisation, and contract or email drafting.
But their workflows are optimised for breadth across practice areas, not for the structural, technical, and jurisdictional depth that patent work requires.
For IP teams that already have access to a generalist platform, or are trying one out, the natural follow-up question is whether a vertical solution adds enough to justify the investment.
At Solve Intelligence, we build AI specifically for patent practitioners. In our experience scaling the platform to over 500 IP teams, there is no question that patent-specific tooling delivers ROI that generalist platforms alone cannot. This article sets out why.
Key takeaways
- Generalist legal AI tools weren't trained for the structural depth patent work demands.
- Solve Intelligence is shaped by in-house patent attorneys who joined Solve from firms like Carpmaels & Ransford and Fish & Richardson.
- Custom templating lets attorneys match output to house style, client/technology area, or jurisdiction.
- Generalist and patent-specific AI are complementary investments, not competing ones.
AI for Patents