Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Rune Labs Inc. has 2 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed across 2 distinct examiners and 2 distinct art units. This indicates that each pending matter is being reviewed by a different examiner in a different specialized division of the patent office.
The busiest examiner, NEWTON, CHAD A, is responsible for 1 pending office action. With 2 distinct examiners and 2 distinct art units involved, the portfolio's current prosecution is distributed across multiple points of review. This variety suggests that the company's innovations cover multiple technical classifications within the transportation and mechanical systems sector. The 2 pending office actions are handled by 2 distinct examiners, ensuring that each matter receives an independent evaluation across the 2 distinct art units. NEWTON, CHAD A handles 1 pending office action within this portfolio.
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 |
|---|---|---|---|
| NEWTON, CHAD A | 1 | 37.6% | +23.2% |
| MONTGOMERY, MELISSA JO | 1 | 15.4% | +40.0% |
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 |
|---|---|---|---|
| 18786328 | ARTIFICIAL-INTELLIGENCE TECHNIQUES FOR FORECASTING INTENSITY OF UNINTENDED MOTOR MOVEMENTS | NEWTON, CHAD A | 28d |
| 18478471 | Spinal-Cord Stimulation Techniques for Predicting Current or Future Myelination and/or Objectively Characterizing Multiple Sclerosis State | MONTGOMERY, MELISSA JO | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18786328 | ARTIFICIAL-INTELLIGENCE TECHNIQUES FOR FORECASTING INTENSITY OF UNINTENDED MOTOR MOVEMENTS | NEWTON, CHAD A | 28d |
| 18478471 | Spinal-Cord Stimulation Techniques for Predicting Current or Future Myelination and/or Objectively Characterizing Multiple Sclerosis State | MONTGOMERY, MELISSA JO | — |
| Art Unit | Apps |
|---|---|
| 3681 | 1 |
| 3791 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18786328 | ARTIFICIAL-INTELLIGENCE TECHNIQUES FOR FORECASTING INTENSITY OF UNINTENDED MOTOR MOVEMENTS | NEWTON, CHAD A | 3681 | §101§102§103 | Non-Final OA | 28d | Pending | Jul 26, 2024 |
| 18478471 | Spinal-Cord Stimulation Techniques for Predicting Current or Future Myelination and/or Objectively Characterizing Multiple Sclerosis State | MONTGOMERY, MELISSA JO | 3791 | §101§103§112 | Final Rejection | — | Pending | Sep 29, 2023 |
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