Tech Center 2100 • Art Units: 2193 2199
This examiner grants 56% of resolved cases
Jason D. Mitchell is an examiner in Tech Center 2100, working in Art Unit 2193. He has 641 resolved cases, providing a robust dataset for analysis. The allowance rate for these cases is 55.5 percent, which indicates a moderate level of difficulty for applicants.
The data reveals an interview lift of 32.1 percent. This suggests that interviews are a highly effective way to improve the chances of an allowance compared to the 55.5 percent baseline. Practitioners should consider this 32.1 percent lift as a strong reason to engage in direct dialogue with the examiner.
The median days to allowance for this examiner is 1574. This is a relatively long timeline for the prosecution process. Given the 641 resolved cases, the 32.1 percent interview lift is a key strategy for practitioners looking to navigate the 1574-day median duration more effectively in Art Unit 2193.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18538895 | ITERATIVE POLICY-GUIDED PROGRAM SYNTHESIS | Non-Final OA | QUALCOMM Technologies, Inc. |
| 18077170 | Techniques For Compiling High-Level Inline Code | Non-Final OA | Intel Corporation |
| 18490380 | METHODS AND GRAPHICAL USER INTERFACES FOR SCANNING APPLICATION CODE TO DETECT AND CLASSIFY SDK DATA INTO DATA CATEGORIES | Non-Final OA | OneTrust LLC |
| 18490344 | SCANNING APPLICATION CODE TO DETECT AND CLASSIFY SDK DATA INTO DATA CATEGORIES | Non-Final OA | OneTrust LLC |
| 18317164 | FAULT INJECTION OPTIMIZATION USING APPLICATION CHARACTERISTICS UNDER TEST | Non-Final OA | International Business Machines Corporation |
| 18530539 | DETERMINATION OF MICROSERVICES FROM APPLICATION WEB SERVICES | Final Rejection | SAP SE |
| 18660910 | ARTIFICIAL INTELLIGENCE-BASED SERVER FIRMWARE UPGRADES IN TELECOMMUNICATION CLUSTERS | Non-Final OA | Dell Products L.P. |
| 18382347 | METHOD AND SYSTEM FOR GENERATING CODE FOR A MOBILE COMMUNICATION TESTER | Final Rejection | Rohde & Schwarz GmbH & Co. KG |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
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