jiang-irac-refusal商标驳回复审推理引擎(SJ-IRAC):面向CNIPA驳回通知的要件化论证、证据链工程与A–E风险闸门,输出审查员可读、可直接提交的复审材料结构。
Install via ClawdBot CLI:
clawdbot install jisngzhongling/jiang-irac-refusalGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Handles CNIPA refusals under Article 30 for trademark similarity. The engine analyzes visual, phonetic, and conceptual comparisons between the applied and cited marks, generates structured contrast tables, and builds evidence chains to argue against confusion risks. It outputs IRAC-based arguments and risk assessments for submission.
Addresses refusals under Article 11 for non-distinctive trademarks. It classifies issues as descriptive, generic, or promotional, then develops evidence paths to demonstrate acquired distinctiveness through use, such as sales data or advertising materials, while assessing compliance with CNIPA guidelines.
Manages refusals under Article 10 for trademarks violating public order or morality. The engine evaluates policy risks, suggests compliant alternative names if needed, and provides structured arguments to navigate strict CNIPA review standards without fabrication.
Deals with refusals under Article 32 based on prior rights like copyrights or trade names. It verifies rights validity, checks five-year time limits, constructs evidence chains for authenticity and relevance, and outputs risk-gated strategies for defense or alternative actions.
Supports strategic responses to cited trademarks, including options to attack (e.g., cancellation for non-use), bypass (e.g., limit goods/services), or replace marks. The engine analyzes costs, evidence strength, and ROI to recommend optimal paths with kill-gate assessments.
Offer tiered subscriptions for law firms and IP agencies, providing access to the engine for generating refusal appeals. Revenue comes from monthly or annual fees, with higher tiers including advanced features like document mode outputs and priority support.
Charge per case or output mode (e.g., quick, pro, document) for individual lawyers or small businesses handling trademark refusals. This model lowers entry barriers and scales with usage, appealing to users with sporadic needs.
License the engine to in-house legal teams at multinational companies for internal trademark management. Revenue is generated through upfront licensing fees and ongoing maintenance contracts, ensuring compliance and efficiency in high-volume refusal cases.
💬 Integration Tip
Integrate with existing case management systems via APIs to automate input of refusal notices and evidence, ensuring seamless workflow and data consistency.
Scored Apr 15, 2026
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