Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 7 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 10 patents granted in the last 365 days
Avaya Inc. is currently managing 7 pending office actions within the Communications technology area. These active matters are distributed across 7 distinct examiners and 7 distinct art units. The parity between the 7 pending office actions and the 7 distinct examiners suggests that different individuals are evaluating the filings, which may lead to different examiner interactions across the portfolio.
ZHANG, LESHUI is the busiest examiner for the company, currently overseeing 1 pending office action. This 1 pending office action is fewer than the total pending office action count, indicating that the workload is spread across the distinct examiners. The distribution across 7 distinct art units further highlights the technical range of the company's current filings within the Communications sector. This broad prosecution footprint suggests a highly diversified approach to securing intellectual property.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 1 (14%) |
| §101 + other | 1 (14%) |
| §103 only | 5 (71%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| ZHANG, LESHUI | 1 | 77.9% | +35.3% |
| YONO, RAVEN E | 1 | 38.9% | +33.6% |
| BLAIR, KILE O | 1 | 63.9% | +7.9% |
| AL AUBAIDI, RASHA S | 1 | 77.8% | +11.4% |
| BAINS, SARJIT S | 1 | 17.2% | +27.2% |
| STANDKE, ADAM C | 1 | 52.7% | +26.6% |
| NGUYEN, VINH | 1 | 62.7% | +69.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18066180 | PRODUCTIVITY METER OF A CONFERENCE CALL | BAINS, SARJIT S | 79d |
| 18765480 | ADVANCED COACHING AND ARTIFICIAL INTELLIGENCE REFINEMENT | YONO, RAVEN E | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17008370 | SYSTEMS AND METHODS FOR CONSOLIDATING CORRELATED MESSAGES IN GROUP CONVERSATIONS | NGUYEN, VINH | 176d overdue |
| 17530959 | IDENTIFY RECIPIENT(S) BASED ON CONTEXT AND PROMPT/SUGGEST SENDER TO ADD IDENTIFIED RECIPIENT(S) BEFORE SENDING MESSAGE | STANDKE, ADAM C | 24d overdue |
| 18066180 | PRODUCTIVITY METER OF A CONFERENCE CALL | BAINS, SARJIT S | 79d |
| 18817009 | Auto-Generated Video Tutorials | ZHANG, LESHUI | — |
| 18765480 | ADVANCED COACHING AND ARTIFICIAL INTELLIGENCE REFINEMENT | YONO, RAVEN E | — |
| 18097699 | BINDING MULTIPLE AGENT-MATCHING ALGORITHMS AND THE DYNAMIC SELECTION THEREOF | AL AUBAIDI, RASHA S | — |
| Art Unit | Apps |
|---|---|
| 2695 | 1 |
| 3694 | 1 |
| 2600 | 1 |
| 2693 | 1 |
| 3623 | 1 |
| 2129 | 1 |
| 2453 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18817009 | Auto-Generated Video Tutorials | ZHANG, LESHUI | 2695 | §103 | Non-Final OA | — | Pending | Aug 27, 2024 |
| 18765480 | ADVANCED COACHING AND ARTIFICIAL INTELLIGENCE REFINEMENT | YONO, RAVEN E | 3694 | §101 | Non-Final OA | — | Pending | Jul 08, 2024 |
| 18398697 | PROVISION OF INDICATORS CONVEYING VISUALLY DISCERNABLE SENTIMENTS IN A PARTICIPANT LIST | BLAIR, KILE O | 2600 | §103 | Final Rejection | — | Pending | Dec 28, 2023 |
| 18097699 | BINDING MULTIPLE AGENT-MATCHING ALGORITHMS AND THE DYNAMIC SELECTION THEREOF | AL AUBAIDI, RASHA S | 2693 | §103 | Non-Final OA | — | Pending | Jan 17, 2023 |
| 18066180 | PRODUCTIVITY METER OF A CONFERENCE CALL | BAINS, SARJIT S | 3623 | §101§103 | Final Rejection | 79d | Pending | Dec 14, 2022 |
| 17530959 | IDENTIFY RECIPIENT(S) BASED ON CONTEXT AND PROMPT/SUGGEST SENDER TO ADD IDENTIFIED RECIPIENT(S) BEFORE SENDING MESSAGE | STANDKE, ADAM C | 2129 | §103 | Final Rejection | 24d overdue | Pending | Nov 19, 2021 |
| 17008370 | SYSTEMS AND METHODS FOR CONSOLIDATING CORRELATED MESSAGES IN GROUP CONVERSATIONS | NGUYEN, VINH | 2453 | §103 | Non-Final OA | 176d overdue | Pending | Aug 31, 2020 |
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