Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2122 2126 2142 2144 2147 2175 2875 4100
This examiner grants 72% of resolved cases
Barbara Henry Level is an examiner in Tech Center 4100 and Art Unit 2122. She has 347 resolved cases, resulting in an allowance rate of 71.8 percent. This 71.8 percent rate indicates that more than seven out of ten applications she resolves reach issuance. For practitioners, this figure suggests a high probability of success. The 347 resolved cases offer a solid foundation for evaluating her prosecution trends in Tech Center 4100.
The interview lift is 28.0 percent, which is a significant boost to the chances of success. This 28.0 percent increase suggests that personal interaction with the examiner is a highly effective way to overcome rejections. The median days to allowance is 989, providing a typical prosecution timeline of just under three years. Practitioners should use the 989-day median as a benchmark for their patent strategy and consider the 28.0 percent lift as a primary tool for advancing their claims. The data indicates that active engagement with the examiner is a productive strategy in Art Unit 2122. Applicants can expect a relatively predictable process with a 71.8 percent chance of success.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18333935 | MODEL PROCESSING METHOD AND RELATED APPARATUS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18429178 | ARTIFICIALLY INTELLIGENT ASSISTANT FOR WORK PROTOCOLS | Non-Final OA | The Boeing Company |
| 18773452 | NAME MATCHING ENGINE BOOSTED BY MACHINE LEARNING | Non-Final OA | Oracle International Corporation |
| 18285367 | AUTOMATED HANDLING OF DATA DRIFT IN EDGE CLOUD ENVIRONMENTS | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18537053 | METHODS AND SYSTEMS FOR DETERMINING A CONVERSION RULE | Non-Final OA | Aptiv Technologies AG |
| 18754313 | HIERARCHICAL AND PEER PRUNING STRATEGIES FOR GENERATIVE ARTIFICIAL INTELLIGENCE MODELS IN TELECOMMUNICATIONS NETWORKS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18531518 | DETERMINING AN ARTIFICIAL INTELLIGENCE (AI) MODEL ARCHITECTURE FROM A PARETO-OPTIMAL CONFIGURATION CURVE | Non-Final OA | International Business Machines Corporation |
| 18287686 | Method and System for Robot Navigation in Unknown Environments | Non-Final OA | Cambridge Enterprise Limited |
| 18402405 | DETERMINING SIMULATION FIDELITY USING NEURAL NETWORK EMBEDDINGS | Non-Final OA | GM Cruise Holdings LLC |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy