Eety AI - An AI Assistant for Patent Drafting vs JD Preferred

Patent drafting is a strategy problem before it is a writing problem. One wrong inference, one gap in the novelty argument, and the application may not defend what the inventor actually built.

Eety.ai builds a 15-point invention model — the Brain — before writing begins. It captures novelty, component interactions, and claim strategy. Each dimension is confidence-scored; incomplete fields block drafting until resolved. Gaps trigger targeted engineer-perspective questions specific to exactly what's missing, incorporated without disturbing confirmed analysis.

Drafting runs through a 10-phase pipeline with an attorney-approved plan before any section executes. Drawings generate as editable SVGs with numerals tracked across all figures and text. Style DNA mirrors the attorney's own voice from reference filings. Nine templates enforce USPTO, EPO, PCT, and UKIPO conventions. Team access, audit trail, style compliance checking, and section-level review complete the pre-filing workflow.

JD Preferred is a specialized career platform tailored for law degree holders who are eager to capitalize on their Juris Doctor (JD) in non-traditional roles. This innovative platform acts as a curated job aggregator and subscription-based service, meticulously organizing thousands of job listings that are either JD Preferred or JD Advantage. Designed for modern legal professionals, JD Preferred recognizes that the analytical, research, and problem-solving skills honed during legal education are assets in diverse sectors such as corporate compliance, finance, public policy, and technology. By concentrating exclusively on this niche, JD Preferred cuts through the clutter of generic job boards, delivering a targeted and efficient resource for job seekers. Its core value proposition lies in seamlessly connecting talented, law-trained individuals with meaningful career opportunities where their unique education provides a definitive advantage. The platform continuously evolves based on market demands and user feedback, ensuring its relevance and comprehensiveness for its users.