Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Communications • Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 7 patents granted in the last 365 days
Liveperson Inc. has 5 pending office actions within the Computing & Software technology area. These 5 pending office actions are assigned to 5 distinct examiners, showing a lack of examiner overlap across the current pending workload. These matters are further distributed across 4 distinct art units, suggesting that the company's software-related innovations are being evaluated across several specialized divisions within the patent office. This variety across 4 distinct art units requires a prosecution strategy that can adapt to the nuances of multiple examination groups.
BUNKER, WILLIAM B is the busiest examiner, holding 1 busiest examiner pending office action. Given that there are 5 pending office actions and 5 distinct examiners, each examiner is responsible for a portion of the cases. This distribution implies that the company must manage a diverse set of examiner expectations, as no individual dominates the current prosecution landscape. The presence of 5 distinct examiners in the Computing & Software area ensures that the company's overall patent success is not overly vulnerable to the specific tendencies of any reviewer. This 1 busiest examiner pending office action count shows that the workload is evenly distributed.
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 + other | 1 (20%) |
| §103 only | 3 (60%) |
| §102 only | 1 (20%) |
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 |
|---|---|---|---|
| BUNKER, WILLIAM B | 1 | 80.2% | +94.9% |
| SYED, FARHAN M | 1 | 75.1% | +23.1% |
| MCINTOSH, ANDREW T | 1 | 77.4% | +18.2% |
| TRAN, QUOC DUC | 1 | 85.8% | +4.8% |
| MOHAMMED, ASSAD | 1 | 73.4% | +11.8% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18600941 | SYSTEMS AND METHODS FOR ARTIFICIAL-INTELLIGENCE ASSISTANCE IN VIDEO COMMUNICATIONS WITH COMMUNICATION-IMPAIRED USERS | TRAN, QUOC DUC | 80d overdue |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19057101 | AUTOMATED DECISIONING BASED ON PREDICTED USER INTENT | BUNKER, WILLIAM B | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18600926 | SYSTEMS AND METHODS FOR ARTIFICIAL-INTELLIGENCE ASSISTANCE IN VIDEO COMMUNICATIONS | MOHAMMED, ASSAD | 78d overdue |
| 18637596 | AUTOMATIC BOT CREATION BASED ON SCRIPTS | MCINTOSH, ANDREW T | 34d |
| 19034900 | TECHNIQUES FOR DETECTING HALLUCINATION IN MACHINE-GENERATED RESPONSES | SYED, FARHAN M | 60d |
| 19057101 | AUTOMATED DECISIONING BASED ON PREDICTED USER INTENT | BUNKER, WILLIAM B | — |
| Art Unit | Apps |
|---|---|
| 2691 | 2 |
| 3691 | 1 |
| 2161 | 1 |
| 2144 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19057101 | AUTOMATED DECISIONING BASED ON PREDICTED USER INTENT | BUNKER, WILLIAM B | 3691 | §101§103 | Non-Final OA | — | Pending | Feb 19, 2025 |
| 19034900 | TECHNIQUES FOR DETECTING HALLUCINATION IN MACHINE-GENERATED RESPONSES | SYED, FARHAN M | 2161 | §103 | Final Rejection | 60d | Pending | Jan 23, 2025 |
| 18637596 | AUTOMATIC BOT CREATION BASED ON SCRIPTS | MCINTOSH, ANDREW T | 2144 | §102 | Non-Final OA | 34d | Pending | Apr 17, 2024 |
| 18600941 | SYSTEMS AND METHODS FOR ARTIFICIAL-INTELLIGENCE ASSISTANCE IN VIDEO COMMUNICATIONS WITH COMMUNICATION-IMPAIRED USERS | TRAN, QUOC DUC | 2691 | §103 | Final Rejection | 80d overdue | Pending | Mar 11, 2024 |
| 18600926 | SYSTEMS AND METHODS FOR ARTIFICIAL-INTELLIGENCE ASSISTANCE IN VIDEO COMMUNICATIONS | MOHAMMED, ASSAD | 2691 | §103 | Final Rejection | 78d overdue | Pending | Mar 11, 2024 |
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