Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 12 patents granted in the last 365 days
Graphcore Limited holds a company patent portfolio in the Computing & Software technology area. The portfolio currently has 2 pending office actions. This figure represents the total workload of active responses required by the patent office at this time.
The prosecution is distributed across 2 distinct examiners and 2 distinct art units. The number of pending office actions matches the number of examiners, suggesting that each active file is being reviewed independently in a different technical division. This distribution requires the company to manage 2 distinct examiner relationships simultaneously.
GOLAN, MATTHEW BRYCE is identified as the busiest examiner for the portfolio, with 1 busiest examiner pending office action. Although labeled as the busiest, this examiner handles only 1 of the 2 pending office actions. The company's success depends on navigating the specific requirements of 2 distinct art units and the individual examination styles of the 2 distinct examiners involved.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 | 2 (100%) |
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 |
|---|---|---|---|
| GOLAN, MATTHEW BRYCE | 1 | 0.0% | +0.0% |
| PHUNG, STEVEN HUYNH | 1 | 73.9% | +30.2% |
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 |
|---|---|---|---|
| 18182567 | Machine Learning System Enabling Effective Training | GOLAN, MATTHEW BRYCE | 1d overdue |
| 18066530 | Data Processing in a Machine Learning Computer | PHUNG, STEVEN HUYNH | — |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18066530 | Data Processing in a Machine Learning Computer | PHUNG, STEVEN HUYNH | — |
| Art Unit | Apps |
|---|---|
| 2123 | 1 |
| 2125 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18182567 | Machine Learning System Enabling Effective Training | GOLAN, MATTHEW BRYCE | 2123 | §101§102§103§112 | Final Rejection | 1d overdue | Pending | Mar 13, 2023 |
| 18066530 | Data Processing in a Machine Learning Computer | PHUNG, STEVEN HUYNH | 2125 | §101§103 | Non-Final OA | — | Pending | Dec 15, 2022 |
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