The opinion is the expert's. The quantitative model behind it — the exhibits, the sensitivity analysis, the stress-tested assumptions — is ours. We build the analytical infrastructure that makes expert testimony hold up.
Expert witnesses in quantitative matters — damages, valuation, statistical analysis, financial modeling — need more than correct opinions. They need models that are transparent, reproducible, and capable of surviving aggressive cross-examination. We build that infrastructure.
We begin by independently reviewing the expert's proposed methodology before the report is finalized — identifying any analytical steps that are inconsistent with established practice, that could create Daubert vulnerabilities, or that make assumptions opposing counsel is likely to challenge successfully.
This is not a review of the expert's opinion — it is a technical review of the statistical and mathematical infrastructure that underlies the opinion. We verify that the calculations are correct, the inputs are accurately represented, and the methodology is consistent with how it is described in the report.
Every damages or valuation model rests on assumptions. Opposing counsel will identify the most consequential of those assumptions and ask the expert what happens to the number if the assumption changes. We run that analysis before the deposition — systematically varying each key assumption across its reasonable range and documenting how the output responds.
This produces two things: a sensitivity analysis exhibit the expert can use affirmatively to demonstrate that the model is robust to reasonable variation, and a map of the assumptions where the model is most vulnerable — so the expert is not surprised on cross-examination and can prepare a clear, substantiated response.
Complex quantitative analyses do not automatically communicate themselves to a judge or jury. We design the exhibit package — summary tables, probability distributions, timeline charts, comparison graphics — so that the expert's analytical conclusions are comprehensible and persuasive to a non-technical audience without sacrificing accuracy.
Every exhibit is designed around a single clear proposition: this is what the model shows, and this is why it is more reliable than the opposing analysis. Visual clarity and analytical precision are not in conflict — a well-designed exhibit achieves both, and we build every one to that standard.
We prepare a cross-examination anticipation memo for the expert — documenting the specific quantitative challenges opposing counsel is most likely to raise, the analytical response to each, and the exhibit or model output that supports that response. This preparation goes beyond "know your model" — it maps the likely attack strategy and equips the expert with responses that are grounded in the data, not just in experience.
Quantitative cross-examinations fail when the expert cannot demonstrate, in real time, that a specific alternative assumption does not materially change the conclusion. We run those alternative scenarios in advance and prepare the responses so the expert can respond from documentation, not from memory.
When we receive the opposing expert's report, we conduct a systematic rebuttal analysis — working through each analytical step to identify methodological errors, unsupported assumptions, selective data use, and internal inconsistencies. We produce a technical critique that gives retaining counsel the specific lines of cross-examination most likely to undermine the opposing expert's credibility.
We also re-run the opposing expert's model with corrected inputs and methodology, showing exactly how the damages figure changes when the errors are addressed. A rebuttal analysis that produces an alternative number is far more powerful than one that only identifies flaws.
Our analytical work is equally rigorous regardless of which side retains us. The math does not know which side it is on. Our job is to ensure the analysis is correct, defensible, and clearly communicated.
We typically engage as non-testifying consulting experts — building the quantitative models and analytical infrastructure that support a retained testifying expert. In appropriate matters, we can serve as testifying experts ourselves. The engagement structure depends on the specific requirements of the matter and will be discussed with counsel before any work begins to ensure privilege considerations are properly addressed.
We work directly with the testifying expert's office, sharing model workbooks, draft calculations, and sensitivity analyses for review before the report is finalized. The expert reviews and signs off on all analytical work before it appears in the report. Our role is to ensure the underlying math is correct and defensible — the expert's role is to apply that analysis in the context of their professional opinion.
The expert report itself, all supporting workpapers (calculation spreadsheets, data files, model outputs), and all materials the expert reviewed or relied upon as disclosed in the report. If the supporting workpapers are incomplete or the model is not fully reproducible from the materials provided, we document that deficiency as part of the rebuttal — it is itself a methodological vulnerability that counsel can exploit in the Daubert or cross-examination context.
Yes. Rebuttal deadlines are frequently tight, and we structure our process accordingly. We prioritize the most consequential vulnerabilities in the opposing report first, so that even if time is limited, the highest-value analytical work is complete. Expedited engagements are available; please contact us as early as possible after receipt of the opposing report so that we can assess scope and allocate resources appropriately.
Expert opinions are only as strong as the quantitative work behind them. Whether you are building or challenging, we provide the analytical precision your matter requires.