Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 7 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 11 patents granted in the last 365 days
Plaid Inc. shows a distributed prosecution profile within the Computing & Software technology area. The company has 7 pending office actions, and these are assigned to 7 distinct examiners across the distinct art units. This ratio between actions, examiners, and art units indicates that every pending matter is being treated as a unique technical and administrative task by the patent office.
The busiest examiner, PYO, MONICA M, is responsible for 1 busiest examiner pending office action. Since there are 7 distinct examiners for the pending office actions, every examiner involved holds this same workload. This distribution prevents the company from consolidating its prosecution efforts under a few key examiners or art units.
For a portfolio with pending office actions, the requirement to interface with various art units suggests a wide range of software applications or diverse functional claims. Practitioners must manage separate examiner relationships simultaneously. PYO, MONICA M handles 1 pending action, highlighting that no matters currently share an examiner or an art unit.
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 | 3 (43%) |
| §103 only | 1 (14%) |
| Double-patenting + other | 1 (14%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| PYO, MONICA M | 1 | 82.9% | +35.3% |
| MAHMOOD, REZWANUL | 1 | 46.0% | +33.9% |
| LIN, ALLEN S | 1 | 66.8% | +56.8% |
| ROSTAMI, MOHAMMAD S | 1 | 67.0% | +25.9% |
| RAZA, ZEHRA | 1 | 45.3% | +48.3% |
| OJIAKU, CHIKAODINAKA | 1 | 45.9% | +8.5% |
| HALM, KWEKU WILLIAM | 1 | 79.2% | +12.4% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18652116 | ACCOUNT VERIFICATION WITH MICRODEPOSITS | RAZA, ZEHRA | 22d |
| 18673986 | DATA ENRICHMENT USING PARALLEL SEARCH | ROSTAMI, MOHAMMAD S | 26d |
| 19367922 | PATTERN IDENTIFICATION IN STRUCTURED EVENT DATA | PYO, MONICA M | — |
| 19261618 | SYSTEMS AND METHODS FOR DATA PARSING | MAHMOOD, REZWANUL | — |
| 18543145 | SECURE UPDATING OF ALLOCATIONS TO USER ACCOUNTS | OJIAKU, CHIKAODINAKA | — |
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 |
|---|---|---|---|
| 18652116 | ACCOUNT VERIFICATION WITH MICRODEPOSITS | RAZA, ZEHRA | 22d |
| 18673986 | DATA ENRICHMENT USING PARALLEL SEARCH | ROSTAMI, MOHAMMAD S | 26d |
| 18318377 | DATA ENRICHMENT USING NAME, LOCATION, AND IMAGE LOOKUP | HALM, KWEKU WILLIAM | 29d |
| 19367922 | PATTERN IDENTIFICATION IN STRUCTURED EVENT DATA | PYO, MONICA M | — |
| 19261618 | SYSTEMS AND METHODS FOR DATA PARSING | MAHMOOD, REZWANUL | — |
| 19027774 | BROWSER-BASED AGGREGATION | LIN, ALLEN S | — |
| Art Unit | Apps |
|---|---|
| 2161 | 1 |
| 2159 | 1 |
| 2153 | 1 |
| 2154 | 1 |
| 3697 | 1 |
| 3696 | 1 |
| 2166 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19367922 | PATTERN IDENTIFICATION IN STRUCTURED EVENT DATA | PYO, MONICA M | 2161 | §103§112Other | Non-Final OA | — | Pending | Oct 24, 2025 |
| 19261618 | SYSTEMS AND METHODS FOR DATA PARSING | MAHMOOD, REZWANUL | 2159 | §101§103 | Non-Final OA | — | Pending | Jul 07, 2025 |
| 19027774 | BROWSER-BASED AGGREGATION | LIN, ALLEN S | 2153 | §103DP | Non-Final OA | — | Pending | Jan 17, 2025 |
| 18673986 | DATA ENRICHMENT USING PARALLEL SEARCH | ROSTAMI, MOHAMMAD S | 2154 | §101§103 | Non-Final OA | 26d | Pending | May 24, 2024 |
| 18652116 | ACCOUNT VERIFICATION WITH MICRODEPOSITS | RAZA, ZEHRA | 3697 | §101§103 | Final Rejection | 22d | Pending | May 01, 2024 |
| 18543145 | SECURE UPDATING OF ALLOCATIONS TO USER ACCOUNTS | OJIAKU, CHIKAODINAKA | 3696 | §101 | Non-Final OA | — | Pending | Dec 18, 2023 |
| 18318377 | DATA ENRICHMENT USING NAME, LOCATION, AND IMAGE LOOKUP | HALM, KWEKU WILLIAM | 2166 | §103 | Final Rejection | 29d | Pending | May 16, 2023 |
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