Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Semiconductors, Circuits & Optics
7 pending office actions • 5 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 27 patents granted in the last 365 days
Landmark Graphics Corporation maintains a patent portfolio in the Computing & Software technology area. There are currently 6 pending office actions. This volume of activity indicates a significant and active engagement with the patent office across multiple software applications, reflecting a robust intellectual property strategy.
The portfolio is highly distributed, involving 6 distinct examiners and 5 distinct art units. This broad administrative footprint suggests that the company's technology spans several different technical niches within the software sector. Managing 5 distinct art units requires a versatile prosecution strategy to address the varying standards of each group, which can be more complex than a more concentrated portfolio.
STEAR, RYAN JAMES is the busiest examiner for Landmark Graphics Corporation. This examiner is currently handling 1 pending office action. Although designated as the busiest, this examiner only manages 1 of the 6 pending office actions, reflecting the decentralized nature of the company's current prosecution efforts across multiple examiners.
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 | 6 (86%) |
| §103 only | 1 (14%) |
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 |
|---|---|---|---|
| HUYNH, PHUONG | 1 | 85.6% | +14.7% |
| STEAR, RYAN JAMES | 1 | 100.0% | +0.0% |
| KLICOS, NICHOLAS GEORGE | 1 | 56.8% | +30.9% |
| BARNES, TED W | 1 | 81.4% | +12.3% |
| HOPKINS, DAVID ANDREW | 1 | 31.5% | +37.5% |
| LEATHERS, EMILY GORMAN | 1 | 61.1% | +11.1% |
| JOHANSEN, JOHN E | 1 | 76.5% | +27.0% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17553219 | SCORING A FINAL RISK FOR IDENTIFIED BOREHOLE DESIGN CONCEPTS | LEATHERS, EMILY GORMAN | 86d |
| 18414336 | Image Warping Optimization Framework For Post-Stack Seismic Survey Merging | HUYNH, PHUONG | — |
| 18392206 | PREDICTING SYSTEMS TRACTS FROM A SEA LEVEL CURVE | STEAR, RYAN JAMES | — |
| 18312084 | MACHINE LEARNING BASED APPROACH FOR QUANTIFICATION OF METHANE EMISSIONS USING SATELLITE DATA FROM HYDROCARBON RECOVERY | BARNES, TED W | — |
| 17840393 | DETERMINING CELL PROPERTIES FOR A GRID GENERATED FROM A GRID-LESS MODEL OF A RESERVOIR OF AN OILFIELD | HOPKINS, DAVID ANDREW | — |
| 17612363 | METHOD AND SYSTEM FOR USING VIRTUAL SENSOR TO EVALUATE CHANGES IN THE FORMATION AND PERFORM MONITORING OF PHYSICAL SENSORS | JOHANSEN, JOHN 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 |
|---|---|---|---|
| 17553219 | SCORING A FINAL RISK FOR IDENTIFIED BOREHOLE DESIGN CONCEPTS | LEATHERS, EMILY GORMAN | 86d |
| 18414336 | Image Warping Optimization Framework For Post-Stack Seismic Survey Merging | HUYNH, PHUONG | — |
| 18360406 | LEARNING MACHINE FOR SUBSURFACE SAFETY VALVE | KLICOS, NICHOLAS GEORGE | — |
| 18312084 | MACHINE LEARNING BASED APPROACH FOR QUANTIFICATION OF METHANE EMISSIONS USING SATELLITE DATA FROM HYDROCARBON RECOVERY | BARNES, TED W | — |
| 17840393 | DETERMINING CELL PROPERTIES FOR A GRID GENERATED FROM A GRID-LESS MODEL OF A RESERVOIR OF AN OILFIELD | HOPKINS, DAVID ANDREW | — |
| 17612363 | METHOD AND SYSTEM FOR USING VIRTUAL SENSOR TO EVALUATE CHANGES IN THE FORMATION AND PERFORM MONITORING OF PHYSICAL SENSORS | JOHANSEN, JOHN E | — |
| Art Unit | Apps |
|---|---|
| 2857 | 2 |
| 2187 | 2 |
| 2118 | 1 |
| 2682 | 1 |
| 2186 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18414336 | Image Warping Optimization Framework For Post-Stack Seismic Survey Merging | HUYNH, PHUONG | 2857 | §101§102 | Final Rejection | — | Pending | Jan 16, 2024 |
| 18392206 | PREDICTING SYSTEMS TRACTS FROM A SEA LEVEL CURVE | STEAR, RYAN JAMES | 2857 | §101§103§112 | Non-Final OA | — | Pending | Dec 21, 2023 |
| 18360406 | LEARNING MACHINE FOR SUBSURFACE SAFETY VALVE | KLICOS, NICHOLAS GEORGE | 2118 | §103 | Non-Final OA | — | Pending | Jul 27, 2023 |
| 18312084 | MACHINE LEARNING BASED APPROACH FOR QUANTIFICATION OF METHANE EMISSIONS USING SATELLITE DATA FROM HYDROCARBON RECOVERY | BARNES, TED W | 2682 | §101§103 | Non-Final OA | — | Pending | May 04, 2023 |
| 17840393 | DETERMINING CELL PROPERTIES FOR A GRID GENERATED FROM A GRID-LESS MODEL OF A RESERVOIR OF AN OILFIELD | HOPKINS, DAVID ANDREW | 2186 | §101§112 | Final Rejection | — | Pending | Jun 14, 2022 |
| 17553219 | SCORING A FINAL RISK FOR IDENTIFIED BOREHOLE DESIGN CONCEPTS | LEATHERS, EMILY GORMAN | 2187 | §101§103§112 | Final Rejection | 86d | Pending | Dec 16, 2021 |
| 17612363 | METHOD AND SYSTEM FOR USING VIRTUAL SENSOR TO EVALUATE CHANGES IN THE FORMATION AND PERFORM MONITORING OF PHYSICAL SENSORS | JOHANSEN, JOHN E | 2187 | §101§103§112 | Non-Final OA | — | Pending | Nov 18, 2021 |
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