Prosecution Insights
Last updated: October 04, 2026

Trenam Law (Private Clients)

Technology area: Medical Devices & Mechanical Engineering

9 pending office actions • 4 clients • 9 examiners • 6 art units • 0 of 9 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days

Analysis

Trenam Law (private clients) has managed 3252 career applications in the Medical Devices & Mechanical Engineering sector. The firm achieves a resolved allowance rate pct of 88.12, demonstrating consistent performance across a large volume of filings. Prosecution typically requires 2.41 avg_office_actions_per_allowance, providing a benchmark for expected examination cycles. This average informs the firm's approach to addressing examiner rejections and navigating the path to grant.

The firm is currently addressing 6 pending office actions. With 3252 career applications, the firm shows extensive experience in mechanical arts. The 88.12 resolved allowance rate pct suggests that the vast majority of their resolved cases result in granted patents. Managing 2.41 avg_office_actions_per_allowance indicates an efficient approach to overcoming examiner rejections. For practitioners, these figures represent a high-volume practice with reliable success metrics in the medical device and mechanical engineering fields.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Quality Metrics (n=3253 apps, methodology: how we score firms)

88.1%
Allowance Rate
n=3253
+0.77σ
Allowance Rate (norm)
n=3253
2.4
OAs to Allowance
n=1664
-0.66σ
OAs to Allow (norm)
n=1664
887 days
Time to Allowance
n=1664
+10.2pp
Interview Lift
n=3253
19.3%
RCE Rate
n=3253
1.7%
Appeal Rate
n=3253

Rejection Performance (% of received rejections ultimately overcome)

83.9%
§101 Overcome
n=149
84.7%
§102 Overcome
n=424
84.7%
§103 Overcome
n=711
86.7%
§112 Overcome
n=588

Specialization & Scale

G06F, A61K, A61B
Top CPC Subclasses
13%
Top-3 CPC Share
n=3253
0
Practitioners
n=3253
—
Apps / Practitioner
n=3253 (min 20)

Portfolio Summary

9
Total Pending OAs
6
Non-Final OAs
1
Final Rejections
2
Advisory / Quayle

Response Deadline Pressure

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.

1
Overdue
0
Due this week
0
Due this month
0
Due in next 60 days
0
Due later

Case Difficulty Mix

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.

6
Hard (67%)
3
Medium (33%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other2 (22%)
§103 only2 (22%)
Double-patenting + other1 (11%)
Multi-statute (no §101)4 (44%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

1
Life Sciences
11% of docket
1
Information Tech
11% of docket
1
Communications
11% of docket
0
Semiconductors
0% of docket
3
Mechanical / Eng
33% of docket
3
Business / Other
33% of docket

Time-on-OA Estimate

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.

90 h
Manual time on pending OAs
18 h
Time saved (low, 20%)
31 h
Time saved (mid, 35%)
0.8 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
ROZOF, TIMOTHY R 1 72.7% +23.6%
THOMAN, EVELYN ANNE 1 100.0% +0.0%
SANTOS, DANIEL JOSEPH 1 71.4% +32.8%
BALDWIN, RANDALL KERN 1 79.6% +27.8%
SOROUSH, LAYLA 1 40.5% +43.4%
JUNG, DONG YOON 1 — —
CALLISON, KEIRA EILEEN 1 21.7% +85.7%
CHATRATHI, ARJUNA P 1 62.3% +22.0%
LEE, ERICA SHENGKAI 1 65.4% +30.1%

Hard Cases (6)

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 #TitleExaminerDue in
17581307 MOTOR LEARNING AND VAGUS NERVE STIMULATION (VNS) PAIRED WITH MOTOR LEARNING TO TREAT DEMYELINATING DISEASES, CONDITIONS AND DISORDERS LEE, ERICA SHENGKAI 4d overdue
18765795 INTACT PILL DELIVERY SYSTEM THOMAN, EVELYN ANNE —
18623632 SYSTEM AND METHOD FOR ACCURATE AND AUTOMATED MULTI-FIELD DATA ANALYSIS SANTOS, DANIEL JOSEPH —
18420200 KNOWLEDGE GRAPH REASONING SYSTEMS USING SELF-SUPERVISED REINFORCEMENT LEARNING AND METHODS THEREOF BALDWIN, RANDALL KERN —
18495265 COMPOSITION OF AND METHOD FOR TREATING INJURY AND/OR SKIN CONDITIONS SOROUSH, LAYLA —
18321149 APPENDAGE WORK SHARING APPARATUS CALLISON, KEIRA EILEEN —

Interview Candidates (7)

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 7 ordered by deadline are shown.

App #TitleExaminerDue in
17581307 MOTOR LEARNING AND VAGUS NERVE STIMULATION (VNS) PAIRED WITH MOTOR LEARNING TO TREAT DEMYELINATING DISEASES, CONDITIONS AND DISORDERS LEE, ERICA SHENGKAI 4d overdue
18920409 TOPICAL COMPOSITIONS FOR REDUCING SCARRING ROZOF, TIMOTHY R —
18623632 SYSTEM AND METHOD FOR ACCURATE AND AUTOMATED MULTI-FIELD DATA ANALYSIS SANTOS, DANIEL JOSEPH —
18420200 KNOWLEDGE GRAPH REASONING SYSTEMS USING SELF-SUPERVISED REINFORCEMENT LEARNING AND METHODS THEREOF BALDWIN, RANDALL KERN —
18495265 COMPOSITION OF AND METHOD FOR TREATING INJURY AND/OR SKIN CONDITIONS SOROUSH, LAYLA —
18321149 APPENDAGE WORK SHARING APPARATUS CALLISON, KEIRA EILEEN —
17802842 POST-OPERATIVE SURGICAL SITE WOUND TREATMENT AND METHOD FOR DEVICE REMOVAL CHATRATHI, ARJUNA P —

Client Portfolio (4 clients)

Top Art Units

Art UnitApps
26671
16221
21451
37851
37811
37961

Pending Office Actions

App #TitleClientExaminerArt UnitStatutesStatusDue inAIFiled
18920409 TOPICAL COMPOSITIONS FOR REDUCING SCARRING Omeza Holdings, Inc. ROZOF, TIMOTHY R §102DP Non-Final OA — Pending Oct 18, 2024
18765795 INTACT PILL DELIVERY SYSTEM The Regents of the University of Colorado THOMAN, EVELYN ANNE §103§112 Non-Final OA — Pending Jul 08, 2024
18623632 SYSTEM AND METHOD FOR ACCURATE AND AUTOMATED MULTI-FIELD DATA ANALYSIS UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, INC. SANTOS, DANIEL JOSEPH 2667 §101§103 Non-Final OA — Pending Apr 01, 2024
18420200 KNOWLEDGE GRAPH REASONING SYSTEMS USING SELF-SUPERVISED REINFORCEMENT LEARNING AND METHODS THEREOF Google LLC BALDWIN, RANDALL KERN §101§103§112 Non-Final OA — Pending Jan 23, 2024
18495265 COMPOSITION OF AND METHOD FOR TREATING INJURY AND/OR SKIN CONDITIONS Omeza Holdings, Inc. SOROUSH, LAYLA 1622 §103§112Other Non-Final OA — Pending Oct 26, 2023
18456258 UNKNOWN-CLASS (OUT-OF-DISTRIBUTION) DATA DETECTION IN MACHINE LEARNING MODELS UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, INC. JUNG, DONG YOON 2145 §103 Final Rejection — Pending Aug 25, 2023
18321149 APPENDAGE WORK SHARING APPARATUS UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, INC. CALLISON, KEIRA EILEEN 3785 §102§103 Non-Final OA — Pending May 22, 2023
17802842 POST-OPERATIVE SURGICAL SITE WOUND TREATMENT AND METHOD FOR DEVICE REMOVAL The Regents of the University of Colorado CHATRATHI, ARJUNA P 3781 §103 Non-Final OA — Pending Aug 26, 2022
17581307 MOTOR LEARNING AND VAGUS NERVE STIMULATION (VNS) PAIRED WITH MOTOR LEARNING TO TREAT DEMYELINATING DISEASES, CONDITIONS AND DISORDERS The Regents of the University of Colorado LEE, ERICA SHENGKAI 3796 §103§112 Non-Final OA 4d overdue Pending Jan 21, 2022

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