USPTO Examiner SIEGER LEONARD A - Art Unit 2126

Dashboard Recent Applications Appeals Analysis Summary Report

Examiner Information

Name: SIEGER, LEONARD A

Art Unit: 2126

Total Cases: 116

Last Active: July 2025

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
19278730	ADAPTIVE GENETIC ALGORITHM FOR MANAGING AND SCHEDULING CROSS-DOMAIN HETEROGENEOUS STORAGE CLUSTERS	July 2025	November 2025	Allow	4	1	No	No
18437888	METHODS AND APPARATUS FOR BOUNDED LINEAR COMPUTATION OUTPUTS	February 2024	November 2025	Abandon	21	3	Yes	No
18429667	METHOD FOR PARAMETER ADJUSTMENT OF REINFORCEMENT LEARNING ALGORITHM	February 2024	February 2025	Abandon	12	1	No	No
18537689	Activation Based Dynamic Network Pruning	December 2023	August 2025	Allow	20	4	Yes	No
18315422	Systems and Methods for Spatial Graph Convolutions with Applications to Drug Discovery and Molecular Simulation	May 2023	December 2024	Allow	19	3	Yes	No
18095925	GENERATING NEURAL NETWORK OUTPUTS BY ENRICHING LATENT EMBEDDINGS USING SELF-ATTENTION AND CROSS-ATTENTION OPERATIONS	January 2023	September 2025	Allow	32	3	Yes	No
17830286	BLACK-BOX OPTIMIZATION USING NEURAL NETWORKS	June 2022	January 2024	Allow	20	1	Yes	No
17451608	ADAPTABLE DATASET DISTILLATION FOR HETEROGENEOUS ENVIRONMENTS	October 2021	May 2025	Allow	43	2	No	No
17499945	GRADIENT-BASED AUTO-TUNING FOR MACHINE LEARNING AND DEEP LEARNING MODELS	October 2021	March 2023	Allow	17	1	Yes	No
17352912	INFORMATION PROCESSING DEVICE, REGRESSION MODEL GENERATION METHOD, AND REGRESSION MODEL GENERATION PROGRAM PRODUCT	June 2021	October 2025	Abandon	52	2	Yes	No
17229275	IMAGE CLASSIFICATION EXPLANATION BY GENERATING BOUNDARY CROSSING EXAMPLES WITH REMOVED FEATURES VIA FILTER SUPPRESSION	April 2021	July 2025	Allow	51	2	No	No
17216475	INTERACTIVE MACHINE LEARNING OPTIMIZATION	March 2021	December 2025	Allow	57	4	Yes	No
17206326	SILICON ELECTRON SPIN TYPE MASSIVELY PARALLEL QUANTUM COMPUTER	March 2021	June 2025	Abandon	51	2	No	No
17274922	AUTOMATIC PLANNER, OPERATION ASSISTANCE METHOD, AND COMPUTER READABLE MEDIUM	March 2021	December 2025	Abandon	57	3	Yes	No
17189993	METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR UPDATING MACHINE LEARNING MODEL	March 2021	December 2025	Abandon	57	4	Yes	No
17147617	MODEL TRAINING APPARATUS AND METHOD	January 2021	December 2025	Abandon	60	3	No	No
17147035	KNOWLEDGE GRAPH ALIGNMENT WITH ENTITY EXPANSION POLICY NETWORK	January 2021	December 2025	Abandon	59	4	Yes	No
17059247	MULTI-OBJECTIVE DISTRIBUTIONAL REINFORCEMENT LEARNING FOR LARGE-SCALE ORDER DISPATCHING	November 2020	August 2024	Abandon	45	1	No	No
17105170	Training and Using a Two Stage Machine Learning Model to Predict an Outcome of a Prospective Transaction	November 2020	January 2025	Allow	50	3	Yes	No
17058624	NEURAL ARCHITECTURE SEARCH VIA SIMILARITY-BASED OPERATOR RANKING	November 2020	April 2025	Allow	53	4	Yes	No
17056640	SAMPLE-EFFICIENT REINFORCEMENT LEARNING	November 2020	November 2025	Allow	60	3	Yes	No
17089764	INCREMENTAL LEARNING SYSTEM WITH SELECTIVE WEIGHT UPDATES	November 2020	July 2025	Allow	57	4	Yes	No
17083536	SEPARATION MAXIMIZATION TECHNIQUE FOR ANOMALY SCORES TO COMPARE ANOMALY DETECTION MODELS	October 2020	March 2025	Abandon	52	2	Yes	Yes
17077077	DATA PREDICTION METHOD BASED ON GENERATIVE ADVERSARIAL NETWORK AND APPARATUS IMPLEMENTING THE SAME METHOD	October 2020	April 2024	Abandon	42	2	Yes	No
17076564	System and Method for Interest-focused Collaborative Machine Learning	October 2020	August 2025	Abandon	58	4	No	No
17037046	SYSTEMS AND METHODS FOR ENFORCING CONSTRAINTS TO PREDICTIONS	September 2020	November 2024	Abandon	50	2	No	No
17025440	SYSTEM AND METHOD FOR MONITORING AT LEAST ONE OCCUPANT WITHIN A VEHICLE USING A PLURALITY OF CONVOLUTIONAL NEURAL NETWORKS	September 2020	June 2024	Abandon	45	1	No	No
17020299	AUTOMATED ANALYSIS GENERATION FOR MACHINE LEARNING SYSTEM	September 2020	August 2024	Abandon	47	2	Yes	No
16976134	Methods and Devices for Chunk Based IoT Service Inspection	August 2020	July 2024	Abandon	46	1	No	No
17002650	REINFORCEMENT LEARNING BASED CONTROL OF IMITATIVE POLICIES FOR AUTONOMOUS DRIVING	August 2020	November 2025	Allow	60	6	Yes	No
16996348	VARIATIONAL AUTO ENCODER FOR MIXED DATA TYPES	August 2020	November 2025	Abandon	60	4	Yes	No
16996322	SYSTEM AND METHODOLOGY FOR DATA CLASSIFICATION, LEARNING AND TRANSFER	August 2020	April 2024	Abandon	44	1	No	No
16966715	OPTIMIZATION DEVICE, OPTIMIZATION METHOD, AND OPTIMIZATION PROGRAM	July 2020	December 2023	Abandon	40	1	No	No
16935313	GENERALIZED EXPECTATION MAXIMIZATION FOR SEMI-SUPERVISED LEARNING	July 2020	October 2024	Allow	51	3	Yes	No
16881999	METHODS AND APPARATUSES FOR FAIR AND EFFICIENT FEDERATED LEARNING	May 2020	April 2025	Abandon	59	4	Yes	No
16861177	RECOMMENDING SCRIPTS FOR CONSTRUCTING MACHINE LEARNING MODELS	April 2020	December 2025	Abandon	60	6	Yes	No
16844758	SCALABLE PIPELINE FOR LOCAL ANCESTRY INFERENCE	April 2020	November 2025	Allow	60	4	Yes	No
16649972	APPLICATION CLEANING METHOD, STORAGE MEDIUM AND ELECTRONIC DEVICE	March 2020	July 2023	Abandon	40	1	No	No
16825199	ITERATIVE SPATIAL GRAPH GENERATION	March 2020	April 2025	Abandon	60	4	Yes	No
16786097	TRAINING A CHARACTER THROUGH INTERACTIONS	February 2020	April 2024	Allow	50	3	Yes	No
16721883	INTEGRATED CIRCUIT CHIP APPARATUS	December 2019	March 2025	Abandon	60	2	No	Yes
16707694	Adaptive learning system utilizing reinforcement learning to tune hyperparameters in machine learning techniques	December 2019	February 2024	Abandon	50	4	Yes	No
16661866	SYSTEM AND METHOD TO IMPROVE ACCURACY OF REGRESSION MODELS TRAINED WITH IMBALANCED DATA	October 2019	March 2023	Allow	41	2	Yes	No
16659981	System and Method for Configuration and Resource Aware Machine Learning Model Switching	October 2019	October 2025	Abandon	60	8	Yes	No
16601547	EVALUATING REINFORCEMENT LEARNING POLICIES	October 2019	April 2022	Allow	30	1	Yes	No
16592115	NEURAL TAXONOMY EXPANDER	October 2019	January 2025	Allow	60	3	No	Yes
16589314	Bias Identification in Cognitive Computing Systems	October 2019	January 2024	Allow	52	2	Yes	Yes
16584535	LEARNING RESULT OUTPUT APPARATUS AND LEARNING RESULT OUTPUT PROGRAM	September 2019	December 2025	Abandon	60	6	Yes	No
16583420	PLOT EVALUATION FOR FARM PERFORMANCE	September 2019	June 2023	Abandon	45	2	No	No
16574200	SATELLITE THREAT MITIGATION BY APPLICATION OF REINFORCEMENT MACHINE LEARNING IN PHYSICS BASED SPACE SIMULATION	September 2019	January 2024	Abandon	52	2	Yes	No
16494198	LEARNING TREE OUTPUT NODE SELECTION USING A MEASURE OF NODE RELIABILITY	September 2019	August 2023	Allow	47	2	Yes	Yes
16564614	COMPUTER, METHOD OF GENERATING LEARNING DATA, AND COMPUTER SYSTEM	September 2019	October 2022	Abandon	37	2	No	No
16564400	MACHINE LEARNING APPARATUS AND METHOD BASED ON MULTI-FEATURE EXTRACTION AND TRANSFER LEARNING, AND LEAK DETECTION APPARATUS USING THE SAME	September 2019	October 2022	Abandon	37	2	No	No
16561678	APPARATUS AND METHODS FOR USING BAYESIAN PROGRAM LEARNING FOR EFFICIENT AND RELIABLE KNOWLEDGE REASONING	September 2019	October 2022	Abandon	37	2	No	No
16560842	MANIFOLD-ANOMALY DETECTION WITH AXIS PARALLEL EXPLANATIONS	September 2019	November 2023	Allow	50	3	Yes	No
16558444	AUTOMATED DATA PROCESSING BASED ON MACHINE LEARNING	September 2019	April 2024	Abandon	55	6	Yes	No
16545245	LEARNING DEVICE AND METHOD FOR IMPLEMENTATION OF GRADIENT BOOSTED DECISION TREES	August 2019	September 2022	Allow	37	3	Yes	No
16538409	METHODS AND APPARATUS TO SELF-GENERATE A MULTIPLE-OUTPUT ENSEMBLE MODEL DEFENSE AGAINST ADVERSARIAL ATTACKS	August 2019	June 2024	Abandon	58	4	Yes	No
16478556	CLASSIFIER TRAINING	July 2019	March 2025	Abandon	60	6	Yes	Yes
16458924	Dynamic Data Selection for a Machine Learning Model	July 2019	October 2025	Allow	60	6	Yes	Yes
16453455	SKILL GENERATING METHOD, APPARATUS, AND ELECTRONIC DEVICE	June 2019	July 2022	Abandon	36	2	Yes	No
16445807	DESIGN OF CUSTOMIZABLE MACHINE LEARNING SERVICES	June 2019	August 2023	Abandon	50	2	Yes	Yes
16443334	NEXT CALL CONTACT PREDICTION	June 2019	December 2023	Abandon	54	4	No	No
16438500	EFFICIENT VERIFICATION OF MACHINE LEARNING APPLICATIONS	June 2019	November 2022	Allow	41	1	No	No
16435213	REGULARIZATION OF RECURRENT MACHINE-LEARNED ARCHITECTURES WITH ENCODER, DECODER, AND PRIOR DISTRIBUTION	June 2019	August 2024	Allow	60	6	Yes	Yes
16411098	QUANTIZATION METHOD OF IMPROVING THE MODEL INFERENCE ACCURACY	May 2019	April 2025	Abandon	60	6	Yes	No
16407537	Method, Apparatus and Computer Program for Operating a Machine Learning System	May 2019	May 2022	Abandon	36	2	No	No
16405329	ELASTIC TRAINING OF MACHINE LEARNING MODELS VIA RE-PARTITIONING BASED ON FEEDBACK FROM THE TRAINING ALGORITHM	May 2019	September 2023	Allow	52	3	Yes	No
16404368	SYSTEMS AND METHODS FOR GENERATING ADVERSE-ACTION REPORTS FOR ADVERSE CREDIT-APPLICATION DETERMINATIONS	May 2019	March 2024	Abandon	58	3	No	Yes
16398460	GENERATING ASSET LEVEL CLASSIFICATION RULES USING MACHINE LEARNING	April 2019	January 2024	Abandon	56	6	Yes	No
16395789	AUTOMATED PREDICTIVE ANALYSIS AND MODIFICATION OF USER INTERACTION FEATURES USING MULTIPLE CLASSIFICATION MODELS	April 2019	August 2021	Allow	28	1	No	No
16395008	SYSTEM AND METHOD FOR CREATING BIOLOGICALLY BASED ENTERPRISE DATA GENOME TO PREDICT AND RECOMMEND ENTERPRISE PERFORMANCE	April 2019	February 2023	Abandon	45	1	No	No
16392669	SMART DEFAULT THRESHOLD VALUES IN CONTINUOUS LEARNING	April 2019	December 2023	Abandon	56	4	Yes	No
16383437	DETERMINING INTENT FROM MULTIMODAL CONTENT EMBEDDED IN A COMMON GEOMETRIC SPACE	April 2019	October 2025	Abandon	60	4	Yes	Yes
16376315	Deep Learning Based Test Compression Analyzer	April 2019	May 2022	Abandon	38	2	No	No
16367480	DEEP LEARNING DATA MANIPULATION FOR MULTI-VARIABLE DATA PROVIDERS	March 2019	March 2024	Abandon	60	4	Yes	No
16336114	Systems and Methods for Generating, Deploying, Discovering, and Managing Machine Learning Model Packages	March 2019	February 2025	Abandon	60	10	Yes	No
16358799	INTELLIGENT PROBLEM SOLVING USING VISUAL INPUT	March 2019	December 2025	Abandon	60	10	Yes	No
16358076	METHOD AND SYSTEM FOR GENERATING STRUCTURED RELATIONS BETWEEN WORDS	March 2019	October 2022	Abandon	43	2	No	No
16351689	EGO MOTION ESTIMATION BASED ON CONSECUTIVE TIME FRAMES INPUT TO MACHINE LEARNING MODEL	March 2019	July 2025	Allow	60	4	Yes	Yes
16299525	AUTOMATION OF DATA ANALYTICS IN AN INTERNET OF THINGS (IOT) PLATFORM	March 2019	October 2025	Abandon	60	8	Yes	No
16295048	METHOD AND DEVICE FOR COMPUTING ESTIMATION OUTPUT DATA	March 2019	June 2023	Abandon	51	4	Yes	No
16295850	COMPUTER-READABLE RECORDING MEDIUM, LEARNING METHOD, AND LEARNING DEVICE	March 2019	December 2021	Abandon	34	1	No	No
16293586	Systems and Methods for Spatial Graph Convolutions with Applications to Drug Discovery and Molecular Simulation	March 2019	March 2023	Allow	48	3	Yes	No
16330351	INFORMATION PROCESSING APPARATUS, ARTIFICIAL INTELLIGENCE IDENTIFICATION METHOD, AND PROGRAM	March 2019	April 2024	Abandon	60	6	Yes	No
16290773	SYSTEM, METHOD, AND COMPUTER PROGRAM FOR MAXIMIZING A RECEPTIVITY SCORE OF USER(S) TO A MEDIA	March 2019	July 2023	Abandon	53	4	No	No
16288217	Constrained Classification and Ranking via Quantiles	February 2019	April 2022	Allow	38	2	Yes	Yes
16286894	METHOD AND APPARATUS FOR TRAINING CLASSIFICATION MODEL, AND METHOD AND APPARATUS FOR CLASSIFYING DATA	February 2019	April 2022	Allow	38	3	Yes	No
16328207	REWARD AUGMENTED MODEL TRAINING	February 2019	January 2023	Abandon	47	4	Yes	No
16262010	MAPPING AND QUANTIFICATION OF INFLUENCE OF NEURAL NETWORK FEATURES FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE	January 2019	February 2024	Abandon	60	4	Yes	No
16254952	ELECTRONIC APPARATUS, METHOD AND SYSTEM FOR PROVIDING CONTENT INFORMATION, AND COMPUTER READABLE MEDIUM	January 2019	June 2023	Abandon	52	5	No	No
16237202	NEURAL NETWORK ACTIVATION COMPRESSION WITH OUTLIER BLOCK FLOATING-POINT	December 2018	March 2024	Allow	60	6	Yes	No
16236570	TEXT PROCESSING METHOD AND DEVICE BASED ON AMBIGUOUS ENTITY WORDS	December 2018	July 2022	Allow	42	4	Yes	No
16211138	EXECUTION OF TRAINED NEURAL NETWORKS USING A DATABASE SYSTEM	December 2018	November 2025	Allow	60	7	Yes	No
16205329	HIERARCHICAL DYNAMIC DEPLOYMENT OF AI MODEL	November 2018	December 2023	Abandon	60	6	Yes	No
16205116	MACHINE LEARNING METHODS FOR DETECTION OF FRAUD-RELATED EVENTS	November 2018	July 2023	Abandon	56	2	No	No
16205218	APPARATUS AND METHOD FOR DETECTING IMPACT FACTOR FOR AN OPERATING ENVIRONMENT	November 2018	November 2022	Abandon	48	2	No	No
16194877	VISUAL ANALYSIS FRAMEWORK FOR UNDERSTANDING MISSING LINKS IN BIPARTITE NETWORKS	November 2018	July 2021	Allow	32	1	Yes	No
16125818	ORGANIC LEARNING	September 2018	July 2022	Abandon	46	2	Yes	No
16113056	METHOD AND SYSTEM FOR OPTIMALLY PROVIDING OUTPUT FOR INPUT	August 2018	January 2022	Abandon	41	1	No	No

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner SIEGER, LEONARD A.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions

Examiner Affirmed

(54.5%)

Examiner Reversed

(45.5%)

Reversal Percentile

67.9%

Higher than average

What This Means

With a 45.5% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings

Allowed After Appeal Filing

(35.3%)

Not Allowed After Appeal Filing

(64.7%)

Filing Benefit Percentile

58.0%

Higher 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, 35.3% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.

Strategic Recommendations

✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.

✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.

Examiner SIEGER, LEONARD A - Prosecution Strategy Guide

Executive Summary

Examiner SIEGER, LEONARD A works in Art Unit 2126 and has examined 116 patent applications in our dataset. With an allowance rate of 34.5%, this examiner allows applications at a lower rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 53 months.

Allowance Patterns

Examiner SIEGER, LEONARD A's allowance rate of 34.5% places them in the 5% percentile among all USPTO examiners. This examiner is less likely to allow applications than most examiners at the USPTO.

Office Action Patterns

On average, applications examined by SIEGER, LEONARD A receive 3.61 office actions before reaching final disposition. This places the examiner in the 95% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.

Prosecution Timeline

The median time to disposition (half-life) for applications examined by SIEGER, LEONARD A is 53 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 +22.1% benefit to allowance rate for applications examined by SIEGER, LEONARD A. This interview benefit is in the 67% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 10.0% of applications are subsequently allowed. This success rate is in the 5% percentile among all examiners. Strategic Insight: RCEs show lower effectiveness with this examiner compared to others. Consider whether a continuation application might be more strategic, especially if you need to add new matter or significantly broaden claims.

After-Final Amendment Practice

This examiner enters after-final amendments leading to allowance in 9.8% of cases where such amendments are filed. This entry rate is in the 10% 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 5% 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 15% percentile among all examiners. Of these withdrawals, 9.1% 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, 100.0% are granted (fully or in part). This grant rate is in the 90% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.

Examiner Cooperation and Flexibility

Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 9% 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 10% 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:

Prepare for rigorous examination: With a below-average allowance rate, ensure your application has strong written description and enablement support. Consider filing a continuation if you need to add new matter.
Expect multiple rounds of prosecution: This examiner issues more office actions than average. Address potential issues proactively in your initial response and consider requesting an interview early in prosecution.
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.