Litigation Services

Consulting for Litigation

Expert Witness services

Praxis provides independent expert witness services grounded in objective engineering and statistical analysis, including technical evaluation, expert opinions, written reports, and deposition and trial testimony, all developed using accepted methodologies with a focus on clarity and defensibility.

At Praxis Reliability Consulting, we provide expert witness services grounded in engineering, statistics, and real-world experience.

Statistical Methods

Applying statistical methods to evaluate product failures and determine potential root causes.

Praxis uses objective, standards-based statistical techniques to analyze data related to product performance and failures. These analyses help identify patterns, anomalies, and potential causal factors, providing a rigorous foundation for expert opinions that can withstand technical scrutiny.

Evidence-Based Opinions

Developing opinions based on engineering and statistical evidence with a reasonable degree of certainty.

Every opinion is carefully formed by combining engineering expertise with quantitative analysis. By relying on documented evidence and validated methodologies, Praxis ensures that conclusions are objective, well-supported, and defensible in both deposition and trial.

Quantifying Size & Risk

Assessing the size and risk of affected product populations, providing clarity on the scope and potential impact of failures or defects.

Praxis evaluates the potential scope of failures using statistical models and reliability data. This allows attorneys and clients to understand the magnitude and potential impact of defects or malfunctions, supporting informed decision-making in technical and legal contexts.

Defensible Statistical Sampling Plans

Designing statistical sampling plans that are defensible for inspections and product evaluations, ensuring reliable conclusions while meeting professional standards.

Sampling plans are developed using recognized statistical principles to ensure that inspection and testing results accurately represent the population being studied. This structured approach ensures that findings are reliable, reproducible, and legally defensible.

Assessing Relationships

Analyzing relationships between random events and potential causal factors to identify underlying causes of failures or performance issues.

Praxis examines correlations and patterns between events to uncover underlying causes of failures. By systematically evaluating potential causal links, the analysis helps clarify complex technical issues and supports clear, evidence-based conclusions.

Written Reports

Delivering clear, professionally written reports that document methodology, findings, and opinions. Reports are structured for legal review, deposition, and trial use.

Each report is organized to clearly communicate the methodology, results, and reasoning behind conclusions. The documentation is designed to be accessible to legal teams while retaining the technical rigor necessary for expert testimony, providing confidence that findings can be defended in any legal setting.

Consulting for Litigation

types of cases supported

Product liability and manufacturing defects (e.g., door latches, toilet tanks, fuel system components).

Warranty disputes involving alleged product defects and lifetime expectations.

Jury selection bias and fairness in panel composition.

DATA ANALYSIS & STATISTICAL CONSULTING FOR LITIGATION MATTERS

At Praxis, we provide independent data analysis and statistical consulting services in support of expert witness and
litigation matters. We apply accepted statistical principles and rigorous analytical methods to evaluate evidence,
assess claims, quantify uncertainty, and communicate results clearly and objectively for courts, counsel, and
fact-finders. Our analyses and resulting opinions are rendered to a reasonable degree of scientific and statistical
certainty.

Expert Witness Services

Independent technical opinions, written reports, deposition support, and trial testimony grounded in sound engineering and statistical principles.

 

Data & Statistical Analysis

Advanced statistical modeling and data analysis to support technical conclusions, quantify uncertainty, and clarify complex datasets.

Reliability Engineering

Evaluation of product performance, failure behavior, risk, and system reliability using established engineering methodologies.