Prosecution Insights
Prosecution Insights
Tech Center 3600 • Art Units: 2144 2148 2176 2177 2178 3629
This examiner grants 36% of resolved cases
Tyler J. Schallhorn is an examiner in Art Unit 2144 of Tech Center 3600. With 270 resolved cases, the examiner has an allowance rate of 35.6 percent. This 35.6 percent rate is higher than the 14.8 percent interview lift. The median days to allowance is 1779, which is an exceptionally long duration for successful prosecution. This 1779 day timeline is a critical factor for applicants in Art Unit 2144.
The 14.8 percent interview lift provides some benefit for overcoming rejections, but the 35.6 percent baseline remains a significant hurdle. With 270 cases resolved, the data reflects a challenging and slow examination style. Practitioners should factor the 1779 day median into their long-term prosecution strategy. The 270 case history in Tech Center 3600 suggests that obtaining a patent from this examiner requires persistence. Direct engagement may help resolve issues, though the overall success rate remains low.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18023532 | LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM | Non-Final OA | NEC Corporation |
| 18617512 | SYSTEM AND METHOD TO RECOMMEND TOOL SET FOR A ROBOTIC SURGICAL PROCEDURE | Non-Final OA | Intuitive Surgical Operations, Inc. |
| 18405019 | MODEL TRAINING METHOD AND RELATED APPARATUS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 17135555 | WEBSITE IMPROVEMENTS BASED ON NATIVE DATA FROM WEBSITE BUILDING SYSTEM | Non-Final OA | WIX.COM LTD. |
| 18525728 | SYSTEM FOR CONVERTING PROPENSITY MODEL OUTPUT INTO INSIGHT ENHANCED CONTEXTUAL REASONS FOR THE OUTPUT | Non-Final OA | Intuit Inc. |
| 17347761 | COMPUTING SYSTEM FOR EXTRACTING FACTS FOR A KNOWLEDGE GRAPH | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17806352 | LEVERAGING MULTIPLE DISPARATE MACHINE LEARNING MODEL DATA OUTPUTS TO GENERATE RECOMMENDATIONS FOR THE NEXT BEST ACTION | Non-Final OA | Truist Bank |
| 17879178 | TRAINING A MACHINE LEARNING MODEL USING AN EXPERT SYSTEM | Non-Final OA | Siemens Aktiengesellschaft |
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