Prosecution Insights
Prosecution Insights
Tech Center 2600 • Art Units: 2100 2123 2124 2129 2661
This examiner grants 80% of resolved cases
David Robert Vincent is an examiner in Art Unit 2100 within Tech Center 2600. The examiner has 726 resolved cases, which have resulted in an allowance rate of 80.4 percent. This rate indicates the recorded frequency of grants for applications assigned to this examiner. Practitioners can use the data to evaluate the probability of success for their cases in Art Unit 2100.
The median time to allowance for these applications is 1126 days. This pendency figure of 1126 days provides a specific timeline for applicants to consider during their portfolio planning. Understanding this median duration helps in managing the resources required for prosecution within Tech Center 2600.
The data also shows an interview lift of 4.0 percent. This lift indicates the change in the probability of success when an interview is conducted, compared to the baseline allowance rate of 80.4 percent. For the 726 resolved cases, the 4.0 percent lift suggests that direct communication is a tool for practitioners. This information is for determining whether to request an interview during the examination process.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17832086 | METHOD, DEVICE AND MEDIUM FOR DATA PROCESSING | Non-Final OA | NEC Corporation |
| 18592377 | ASSISTIVE GENERATIVE AI-BASED RESPONSES | Non-Final OA | Intuit, Inc. |
| 18325629 | Transforming Customer Content Data to Anonymized System Metadata via k-Aggregation | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17986973 | CREATING DECISION OPTIMIZATION SPECIFICATIONS | Non-Final OA | International Business Machines Corporation |
| 18368311 | METHODS AND MECHANISMS FOR TRACE-BASED TRANSFER LEARNING | Final Rejection | Applied Materials, Inc. |
| 18360483 | Multi-Platform Machine Learning Systems | Non-Final OA | Allstate Insurance Company |
| 18103100 | FRAMEWORK AND METHODS OF DIVERSE EXPLORATION FOR FAST AND SAFE POLICY IMPROVEMENT | Non-Final OA | The Research Foundation for The State University of New York |
| 18209932 | SYSTEM AND METHOD FOR NEURAL NETWORK STRUCTURE-LEVEL QUANTIZATION OPTIMIZATION | Non-Final OA | Black Sesame Technologies Inc. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy