A key challenge in AI adoption for patent drafting is that generic outputs rarely meet the standards required in practice. Client expectations, technical fields and internal drafting approaches all differ, so flexibility is critical.
HGF’s approach was to adapt drafting outputs to client-specific preferences, embed firm-specific style and structural conventions, and ensure consistency across teams working in similar technical domains.
HGF is actively configuring Solve’s drafting module to support more precise, client-aligned outputs. That includes adjusting how applications are structured depending on client requirements, tailoring claim language and fallback positions to preferred styles, incorporating prior work product to guide tone, terminology and level of detail, and iterating on outputs to reflect different levels of drafting conservatism.
It is a practitioner-led implementation: HGF attorneys work closely with attorneys at Solve and are directly involved in refining how the system behaves, so outputs improve in line with real drafting decisions, reflect jurisdiction-specific requirements and evolve with client needs.
“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.”
The customizations let attorneys generate patent application drafts that are closer to client-ready from the outset, reducing rework while keeping full attorney control and leaving HGF attorneys free to focus on commercial and legal judgement.
Solve and HGF will continue to expand the customization capabilities and embed them more deeply into drafting workflows.
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