Tech Center 3600 • Art Units: 2655 3628 3629
This examiner grants 34% of resolved cases
Danielle Elizabeth Zevitz is an examiner in Tech Center 3600 and Art Unit 2655. She has 35 resolved cases. The allowance rate for these cases is 34.3%. This percentage is a metric for practitioners to consider during prosecution. The interview lift is 60.0%. This lift shows the change in allowance probability when an interview occurs. The median days to allowance is 806. This duration is the time for an allowed application.
With 35 resolved cases, the data provides a basis for strategy. The 60.0% interview lift is a metric for those seeking to change their results. Practitioners should factor the 806-day timeline into their planning. The 34.3% allowance rate reflects the examiner's record in Tech Center 3600 and Art Unit 2655. The examiner's history shows a pattern of outcomes. Direct communication through the interview process is associated with the lift. The Art Unit environment is associated with these metrics. The duration of prosecution is a factor in strategy. The Tech Center context is relevant for understanding the trends.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18868506 | SPOKEN LANGUAGE UNDERSTANDING USING MACHINE LEARNING | Non-Final OA | Google LLC |
| 17518376 | SOUND MODIFICATION OF SPEECH IN AUDIO SIGNALS OVER MACHINE COMMUNICATION CHANNELS | Non-Final OA | Intel Corporation |
| 19066056 | LARGE LANGUAGE MODEL-BASED KNOWLEDGE GRAPHS | Non-Final OA | Salesforce, Inc. |
| 18744106 | SYSTEMS AND METHODS FOR ENHANCED TEXT RETRIEVAL WITH TRANSFER LEARNING | Final Rejection | Salesforce, Inc. |
| 18952407 | SYSTEM AND METHOD FOR VERIFYING AUDIO PROCESSING PIPELINE RESULTS USING AUTOMATED SPEECH RECOGNITION | Final Rejection | GONG.io Ltd. |
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