USPTO Examiner BALDWIN RANDALL KERN - Art Unit 2125

Dashboard Recent Applications Appeals Analysis Summary Report

Examiner Information

Name: BALDWIN, RANDALL KERN

Art Unit: 2125

Total Cases: 204

Last Active: September 2024

Recent Applications

Detailed information about the 100 most recent patent applications.

Application Number	Title	Filing Date	Disposal Date	Disposition	Time (months)	Office Actions	Interview	Appeal
18844254	System, Method, and Computer Program Product for Saving Memory During Training of Knowledge Graph Neural Networks	September 2024	June 2025	Allow	9	1	Yes	No
18792455	Multimodal Generative AI Model Protection Using Sequential Sidecars	August 2024	March 2025	Allow	8	2	No	No
18781938	MACHINE LEARNING ARCHITECTURES WITH SUB-QUADRATIC ITERATOR MODULES	July 2024	February 2025	Allow	6	1	Yes	No
18732648	METHOD, DEVICE, AND MEDIUM FOR PREDICTING FLUE DUST CONCENTRATION	June 2024	April 2025	Allow	11	1	No	No
18418201	SYSTEMS AND METHODS FOR RESPONDING TO PREDICTED EVENTS IN TIME-SERIES DATA USING SYNTHETIC PROFILES CREATED BY ARTIFICIAL INTELLIGENCE MODELS TRAINED ON NON-HOMOGENEOUS TIME-SERIES DATA	January 2024	August 2024	Allow	6	1	Yes	No
18406829	SYSTEMS AND METHODS FOR COHORT-BASED PREDICTIONS IN CLUSTERED TIME-SERIES DATA IN ORDER TO DETECT SIGNIFICANT RATE-OF-CHANGE EVENTS	January 2024	February 2025	Allow	13	1	Yes	No
18522075	Systems and Methods of Sparsity Exploiting	November 2023	June 2025	Abandon	19	1	No	No
18501455	TECHNOLOGY FOR LOWERING PEAK POWER OF NEURAL PROCESSING UNIT USING VARIABLE FREQUENCY	November 2023	August 2024	Allow	9	2	No	No
18478763	SPLICING SITE CLASSIFICATION USING NEURAL NETWORKS	September 2023	April 2024	Allow	7	1	Yes	No
18455026	DEEP NEURAL NETWORK ARCHITECTURE USING PIECEWISE LINEAR APPROXIMATION	August 2023	September 2024	Allow	13	0	Yes	No
18354569	SYSTEMS AND METHODS FOR AGGREGATING TIME-SERIES DATA STREAMS BASED ON POTENTIAL STATE CHARACTERISTICS FOLLOWING AGGREGATION	July 2023	August 2024	Allow	13	2	Yes	No
18327850	SYSTEMS AND METHODS FOR RESPONDING TO PREDICTED EVENTS IN TIME-SERIES DATA USING SYNTHETIC PROFILES CREATED BY ARTIFICIAL INTELLIGENCE MODELS TRAINED ON NON-HOMOGENEOUS TIME-SERIES DATA	June 2023	February 2024	Allow	8	1	No	No
18299717	NEURAL NETWORK HARDWARE ACCELERATOR DATA PARALLELISM	April 2023	May 2024	Allow	13	1	No	No
18028566	NEURAL NETWORK RETRAINING METHOD BASED ON AGING SENSING OF MEMRISTORS	March 2023	June 2024	Allow	15	1	Yes	No
18120137	TWO-DIMENSIONAL ARRAY-BASED NEUROMORPHIC PROCESSOR AND IMPLEMENTING METHOD	March 2023	October 2023	Allow	8	1	No	No
18174498	SYSTEMS AND METHODS FOR COHORT-BASED PREDICTIONS IN CLUSTERED TIME-SERIES DATA IN ORDER TO DETECT SIGNIFICANT RATE-OF-CHANGE EVENTS	February 2023	November 2023	Allow	8	1	Yes	No
18099904	SELECTION OF MACHINE LEARNING ALGORITHMS	January 2023	August 2024	Allow	18	2	No	No
18065441	SYSTEMS AND METHODS FOR RESPONDING TO PREDICTED EVENTS IN TIME-SERIES DATA USING SYNTHETIC PROFILES CREATED BY ARTIFICIAL INTELLIGENCE MODELS TRAINED ON NON-HOMOGENOUS TIME SERIES-DATA	December 2022	May 2023	Allow	5	1	Yes	No
17993463	SYSTEM AND METHOD OF DETERMINING AND EXECUTING DEEP TENSOR COLUMNS IN NEURAL NETWORKS	November 2022	February 2024	Allow	15	1	Yes	No
17992814	OPTIMIZATION METHOD AND APPARATUS FOR COMPILING COMPUTATION GRAPH	November 2022	December 2024	Abandon	35	2	Yes	Yes
17992822	MEMORY OPTIMIZATION METHOD AND APPARATUS FOR NEURAL NETWORK COMPILATION	November 2022	December 2024	Abandon	35	2	Yes	Yes
17972466	USING EMBEDDING FUNCTIONS WITH A DEEP NETWORK	October 2022	December 2023	Allow	13	1	Yes	No
17959827	DATA COLLECTION SYSTEM, DATA COLLECTION DEVICE, DATA ACQUISITION DEVICE, AND DATA COLLECTION METHOD	October 2022	November 2023	Abandon	13	2	Yes	No
17875223	ELECTRICAL NETWORKS USING ANALYTIC LOSS GRADIENTS FOR DESIGN, ANALYSIS AND MACHINE LEARNING	July 2022	November 2023	Allow	16	2	Yes	No
17874876	TOOL FOR FACILITATING EFFICIENCY IN MACHINE LEARNING	July 2022	January 2024	Allow	18	1	No	No
17849292	SYSTEMS AND METHODS TO IDENTIFY DOCUMENT TRANSITIONS BETWEEN ADJACENT DOCUMENTS WITHIN DOCUMENT BUNDLES	June 2022	August 2023	Allow	14	1	No	No
17806143	LOW POWER HARDWARE ARCHITECTURE FOR HANDLING ACCUMULATION OVERFLOWS IN A CONVOLUTION OPERATION	June 2022	August 2024	Allow	26	6	Yes	No
17738436	SYSTEM, METHOD, AND COMPUTER DEVICE FOR TRANSISTOR-BASED NEURAL NETWORKS	May 2022	December 2022	Allow	7	1	Yes	No
17705129	NEURAL NETWORK LEARNING FOR THE PREVENTION OF FALSE POSITIVE AUTHORIZATIONS	March 2022	June 2024	Allow	27	1	Yes	No
17656625	NEURAL PROCESSING DEVICE AND METHOD FOR PRUNING THEREOF	March 2022	December 2023	Allow	21	4	Yes	No
17655838	SYSTEMS AND METHODS FOR REDUCING PROBLEMATIC CORRELATIONS BETWEEN FEATURES FROM MACHINE LEARNING MODEL DATA	March 2022	June 2025	Allow	38	1	Yes	No
17642266	NEURAL NETWORK MAPPING METHOD AND APPARATUS	March 2022	July 2023	Allow	17	2	Yes	No
17689185	NEURAL BREGMAN DIVERGENCES FOR DISTANCE LEARNING	March 2022	April 2023	Allow	14	3	Yes	No
17633186	SEPARATION OF STATES OF MECHANICAL PRESSES BY ANALYZING TRAINED PATTERNS IN A NEURAL NETWORK	February 2022	July 2024	Allow	29	5	No	No
17581453	Systems and Methods for Sparsity Exploiting	January 2022	August 2023	Allow	19	1	No	No
17547458	SYSTEM AND METHOD OF EXECUTING DEEP TENSOR COLUMNS IN NEURAL NETWORKS	December 2021	August 2022	Allow	8	2	Yes	No
17510397	NEURAL NETWORK HARDWARE ACCELERATOR DATA PARALLELISM	October 2021	January 2023	Allow	15	3	Yes	No
17492222	SYSTEMS AND METHODS FOR TAGGING DATASETS USING MODELS ARRANGED IN A SERIES OF NODES	October 2021	January 2025	Allow	39	2	Yes	No
17460919	GRAPH MODEL BUILD AND SCORING ENGINE	August 2021	August 2023	Allow	23	1	No	No
17405342	MACHINE LEARNING DEVICE	August 2021	December 2022	Allow	16	2	Yes	No
17368636	DYNAMIC WEB PAGE CLASSIFICATION IN WEB DATA COLLECTION	July 2021	January 2025	Abandon	42	6	Yes	No
17420521	ELECTRONIC DEVICE AND CONTROLLING METHOD THEREOF	July 2021	April 2025	Allow	45	3	Yes	No
17361798	SYSTEMS AND METHODS TO IDENTIFY DOCUMENT TRANSITIONS BETWEEN ADJACENT DOCUMENTS WITHIN DOCUMENT BUNDLES	June 2021	April 2022	Allow	10	1	No	No
17362887	CONTENT RECOMMENDATION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM	June 2021	February 2025	Allow	44	2	Yes	No
17345996	METHOD AND SYSTEM FOR CREATING AN ENSEMBLE OF MACHINE LEARNING MODELS TO DEFEND AGAINST ADVERSARIAL EXAMPLES	June 2021	November 2024	Allow	41	1	Yes	No
17345230	SYSTEM AND METHOD FOR ANOMALY DETECTION IN DYNAMICALLY EVOLVING DATA USING RANDOM NEURAL NETWORK DECOMPOSITION	June 2021	September 2023	Allow	27	1	No	No
17342197	METHODS AND APPARATUS TO PREDICT SPORTS INJURIES	June 2021	November 2023	Abandon	29	1	No	No
17292783	Content Classification Method	May 2021	April 2025	Allow	47	1	Yes	No
17230460	METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DATA PROCESSING UTILIZING SEPARABLE MULTI-STAGE DATA PROCESSING MODEL IN EDGE-CLOUD NETWORK	April 2021	December 2024	Allow	44	2	Yes	No
17284201	TASK PROCESSING METHOD AND DEVICE BASED ON NEURAL NETWORK	April 2021	June 2025	Allow	50	1	Yes	No
17226619	METHODS, MEDIUMS, AND SYSTEMS FOR GENERATING CAUSAL INFERENCE STRUCTURE BETWEEN CONCEPTS HAVING PREDICTIVE CAPABILITIES	April 2021	June 2025	Allow	50	1	No	No
17279680	PREDICTION MANAGMENT SYSTEM, PREDICTION MANAGEMENT METHOD, DATA STRUCTURE, PREDICTION MANAGEMENT DEVICE AND PREDICTION EXECUTION DEVICE	March 2021	April 2025	Allow	49	1	Yes	No
17213167	TRAINING INDIVIDUALLY FAIR MACHINE LEARNING ALGORITHMS VIA DISTRIBUTIONALLY ROBUST OPTIMIZATION	March 2021	June 2025	Allow	51	1	Yes	No
17195775	ARITHMETIC DEVICE, COMPUTER SYSTEM, AND ARITHMETIC METHOD	March 2021	April 2025	Abandon	50	1	No	No
17188234	INFORMATION PROCESSING APPARATUS, CONTROL METHODS THEREOF, AND RECORDING MEDIUM FOR NEURAL NETWORK LEARNING MODELS UTILIZING DATA MINIMIZATION	March 2021	February 2025	Allow	47	2	Yes	No
17268660	BUILDING DEEP LEARNING ENSEMBLES WITH DIVERSE TARGETS	February 2021	October 2021	Allow	7	1	No	No
17171507	METHOD AND APPARATUS FOR GENERATING RECOMMENDATION MODEL, CONTENT RECOMMENDATION METHOD AND APPARATUS, DEVICE AND MEDIUM	February 2021	September 2024	Allow	43	0	Yes	No
17170416	SYSTEMS AND METHODS FOR MODELING CONTINUOUS STOCHASTIC PROCESSES WITH DYNAMIC NORMALIZING FLOWS	February 2021	November 2024	Allow	45	1	No	No
17266624	DISPATCHING DISTRIBUTION	February 2021	February 2025	Abandon	49	1	No	No
17164433	UTILIZING NEURAL NETWORK MODELS FOR RECOMMENDING AND ADAPTING TREATMENTS FOR USERS	February 2021	November 2024	Allow	45	1	Yes	No
17151001	Systems and Methods for Training Machine-Learned Models with Deviating Intermediate Representations	January 2021	October 2024	Allow	45	1	Yes	No
17139849	METHODS AND SYSTEMS FOR CROSS-PLATFORM USER PROFILING BASED ON DISPARATE DATASETS USING MACHINE LEARNING MODELS	December 2020	September 2024	Allow	44	0	Yes	No
17132776	SYMBOLIC MODEL TRAINING WITH ACTIVE LEARNING	December 2020	July 2024	Allow	43	1	Yes	No
17132644	ANALYTICS ENGINE FOR DETECTING MEDICAL FRAUD, WASTE, AND ABUSE	December 2020	October 2023	Abandon	34	1	No	No
17115973	System and method of constructing machine learning workflows through machine learning suggestions	December 2020	August 2024	Allow	44	2	Yes	No
17111097	METHOD AND SYSTEM FOR RECOMMENDING TOOL CONFIGURATIONS IN MACHINING	December 2020	May 2024	Allow	41	2	Yes	No
17098723	SYSTEMS AND METHODS FOR TARGETING POLICYMAKER COMMUNICATION	November 2020	April 2021	Allow	5	1	No	No
17095700	AUXILIARY MODEL FOR PREDICTING NEW MODEL PARAMETERS	November 2020	May 2024	Allow	43	1	Yes	No
17095603	AUTOMATIC GENERATION OF TRANSFORMATIONS OF FORMATTED TEMPLATES USING DEEP LEARNING MODELING	November 2020	September 2023	Allow	35	1	Yes	No
17073147	REAL-TIME VISUALIZATION OF MACHINE LEARNING MODELS	October 2020	September 2024	Allow	47	2	Yes	No
17062107	Ranked Insight Machine Learning Operation	October 2020	May 2023	Allow	31	1	No	No
17028175	QUANTIZED INPUTS FOR MACHINE LEARNING MODELS	September 2020	June 2024	Allow	45	1	No	No
17023821	METHOD FOR TRAINING A VOICEPRINT EXTRACTION MODEL AND METHOD FOR VOICEPRINT RECOGNITION, AND DEVICE AND MEDIUM THEREOF	September 2020	July 2024	Allow	46	2	Yes	No
16977469	LEARNING ASSISTANCE DEVICE, PROCESSING SYSTEM, LEARNING ASSISTANCE METHOD, AND STORAGE MEDIUM	September 2020	April 2024	Allow	43	1	Yes	No
17004660	METHOD AND SYSTEM FOR GENERATING MODEL DRIVEN APPLICATIONS USING ARTIFICIAL INTELLIGENCE	August 2020	May 2024	Allow	44	1	Yes	No
17002969	ENFORCING, WITH RESPECT TO CHANGES IN ONE OR MORE DISTINGUISHED INDEPENDENT VARIABLE VALUES, MONOTONICITY IN THE PREDICTIONS PRODUCED BY A STATISTICAL MODEL	August 2020	September 2023	Allow	37	1	Yes	No
16968040	CONVEX FEATURE NORMALIZATION FOR FACE RECOGNITION	August 2020	July 2024	Allow	47	2	Yes	No
16935834	SYSTEM AND METHOD FOR TRANSACTION LEARNING	July 2020	August 2024	Allow	49	1	Yes	No
16961932	CONVOLUTIONAL NEURAL NETWORK ON-CHIP LEARNING SYSTEM BASED ON NON-VOLATILE MEMORY	July 2020	October 2023	Allow	39	1	Yes	No
16926651	ARTIFICIAL INTELLIGENCE APPARATUS, SYSTEM AND BEHAVIOR CONTROL METHOD THEREOF	July 2020	July 2024	Allow	48	2	No	No
16922057	COUNTER-TYING NODES OF A NODAL NETWORK	July 2020	September 2021	Allow	14	3	Yes	No
16921436	PERFORMING KERNEL STRIDING IN HARDWARE	July 2020	June 2023	Allow	36	1	Yes	No
16921199	SERVER THAT CREATES AN ANOMALY DETECTION MODEL, RECORDING MEDIUM FOR CREATING THE ANOMALY DETECTION MODEL, AND METHOD FOR CREATING THE ANOMALY DETECTION MODEL	July 2020	July 2024	Allow	48	2	Yes	No
16915610	HYPERPARAMETER OPTIMIZATION WITH OPERATIONAL CONSTRAINTS	June 2020	June 2024	Allow	48	4	Yes	No
16915551	SELECTION OF MACHINE LEARNING ALGORITHMS	June 2020	October 2022	Allow	28	1	No	No
16897903	COMPUTER-IMPLEMENTED METHODS FOR TRAINING A MACHINE LEARNING ALGORITHM	June 2020	September 2023	Allow	39	2	Yes	No
16895855	USING EMBEDDING FUNCTIONS WITH A DEEP NETWORK	June 2020	June 2022	Allow	24	1	No	No
16864693	ARTIFICIAL INTELLIGENCE ADVISORY SYSTEMS AND METHODS FOR CONSTITUTIONAL GUIDANCE	May 2020	June 2024	Allow	49	3	Yes	No
16861205	SYSTEMS AND METHODS TO EXECUTE EFFICIENTLY A PLURALITY OF MACHINE LEARNING PROCESSES	April 2020	January 2023	Abandon	33	2	Yes	No
16822616	ARTIFICIAL NEURAL NETWORK ACTIVATION FUNCTION	March 2020	March 2024	Allow	48	3	Yes	No
16801210	LEARNING DEVICE, LEARNING SYSTEM, AND LEARNING METHOD	February 2020	March 2023	Allow	37	1	No	No
16632145	EFFICIENT NEURAL NETWORKS WITH ELABORATE MATRIX STRUCTURES IN MACHINE LEARNING ENVIRONMENTS	January 2020	May 2024	Allow	52	4	Yes	No
16739543	METHOD AND APPARATUS WITH NEURAL NETWORK LAYER CONTRACTION	January 2020	June 2024	Allow	53	4	Yes	No
16626493	NEURAL NETWORK PARAMETER OPTIMIZATION METHOD AND NEURAL NETWORK COMPUTING METHOD AND APPARATUS SUITABLE FOR HARDWARE IMPLEMENTATION	December 2019	April 2024	Allow	52	2	Yes	No
16722481	SYSTEMS AND METHODS FOR TAGGING DATASETS USING MODELS ARRANGED IN A SERIES OF NODES	December 2019	July 2021	Allow	19	2	Yes	No
16493889	FIXED-WEIGHTING-CODE LEARNING DEVICE	December 2019	December 2022	Allow	39	1	Yes	No
16618656	Human-in-the-Loop Interactive Model Training	December 2019	August 2024	Allow	57	2	Yes	No
16691161	METHOD FOR DETERMINING RISK PREFERENCE OF USER, INFORMATION RECOMMENDATION METHOD, AND APPARATUS	November 2019	June 2020	Allow	6	1	Yes	No
16680185	NEURAL NETWORK LEARNING FOR THE PREVENTION OF FALSE POSITIVE AUTHORIZATIONS	November 2019	November 2021	Allow	24	1	Yes	No
16662817	SHARED PER CONTENT PROVIDER PREDICTION MODELS	October 2019	October 2022	Allow	35	2	Yes	No

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner BALDWIN, RANDALL KERN.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions

Examiner Affirmed

(83.3%)

Examiner Reversed

(16.7%)

Reversal Percentile

26.7%

Lower than average

What This Means

With a 16.7% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings

Allowed After Appeal Filing

(15.4%)

Not Allowed After Appeal Filing

(84.6%)

Filing Benefit Percentile

15.9%

Lower than average

Understanding Appeal Filing Strategy

Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.

In this dataset, 15.4% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the bottom 25% across the USPTO, indicating that filing appeals is less effective here than in most other areas.

Strategic Recommendations

⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.

⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.

Examiner BALDWIN, RANDALL KERN - Prosecution Strategy Guide

Executive Summary

Examiner BALDWIN, RANDALL KERN works in Art Unit 2125 and has examined 204 patent applications in our dataset. With an allowance rate of 78.4%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 44 months.

Allowance Patterns

Examiner BALDWIN, RANDALL KERN's allowance rate of 78.4% places them in the 39% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.

Office Action Patterns

On average, applications examined by BALDWIN, RANDALL KERN receive 2.12 office actions before reaching final disposition. This places the examiner in the 71% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.

Prosecution Timeline

The median time to disposition (half-life) for applications examined by BALDWIN, RANDALL KERN is 44 months. This places the examiner in the 3% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.

Interview Effectiveness

Conducting an examiner interview provides a +25.9% benefit to allowance rate for applications examined by BALDWIN, RANDALL KERN. This interview benefit is in the 76% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 28.7% of applications are subsequently allowed. This success rate is in the 43% percentile among all examiners. Strategic Insight: RCEs show below-average effectiveness with this examiner. Carefully evaluate whether an RCE or continuation is the better strategy.

After-Final Amendment Practice

This examiner enters after-final amendments leading to allowance in 20.0% of cases where such amendments are filed. This entry rate is in the 16% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.

Pre-Appeal Conference Effectiveness

When applicants request a pre-appeal conference (PAC) with this examiner, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 4% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 50.0% of appeals filed. This is in the 12% percentile among all examiners. Of these withdrawals, 33.3% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.

Petition Practice

When applicants file petitions regarding this examiner's actions, 20.4% are granted (fully or in part). This grant rate is in the 11% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.

Examiner Cooperation and Flexibility

Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 8% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.

Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 9% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.

Prosecution Strategy Recommendations

Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:

Prioritize examiner interviews: Interviews are highly effective with this examiner. Request an interview after the first office action to clarify issues and potentially expedite allowance.
Plan for RCE after final rejection: This examiner rarely enters after-final amendments. Budget for an RCE in your prosecution strategy if you receive a final rejection.
Plan for extended prosecution: Applications take longer than average with this examiner. Factor this into your continuation strategy and client communications.

Relevant MPEP Sections for Prosecution Strategy

MPEP § 713.10: Examiner interviews - available before Notice of Allowance or transfer to PTAB
MPEP § 714.12: After-final amendments - may be entered "under justifiable circumstances"
MPEP § 1002.02(c): Petitionable matters to Technology Center Director
MPEP § 1004: Actions requiring primary examiner signature (allowances, final rejections, examiner's answers)
MPEP § 1207.01: Appeal conferences - mandatory for all appeals
MPEP § 1214.07: Reopening prosecution after appeal

Important Disclaimer

Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.

No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.

Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.

Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.