Summit’s Litigation Analytics Team provides expert witness and counsel support to government and private clients.
We solve complex analytical challenges with unparalleled customer service and extensive client collaboration. The solutions are complete only when they are understood by our clients and solve their problems. We have the breadth, depth, and experience to meet litigators’ evolving needs.
If you think we might be able to help, contact us today.
We support expert witnesses and counsel, bridging advanced analytics, consulting services, and complex litigation.
Expert Witness Support
Members of Summit’s team have served as expert witnesses in statistics and economics, and have experience testifying in both depositions and in court.
In addition to providing expert witnesses, we provide expert witness support. This includes preparing expert witnesses to testify on economic and statistical matters. Often this includes generating the evidence and presentations on which expert witnesses testify.
Summit’s Litigation Analytics Team supports attorneys with expert review, statistical sampling and analysis, and economic and statistical estimation in litigation. Our focus is not only on finding the right solution, but also on explaining and presenting that solution to audiences that have little or no background in statistics, economics, or mathematics. Summit also has experience serving as a third-party expert and advisor in regulatory and pre-litigation matters.
For each engagement, we organize our staff around the work, which often includes:
- data management, the preparation, blending, and storage of massive amounts of sensitive quantitative data;
- study design, the creation of quantitative study designs;
- evidence generation, the application of statistical methods to generate new knowledge or validate existing knowledge; and
- evidence presentation, the presentation of evidence in graphs, tables, and visualizations.
Statistical Software and Languages
Our staff are proficient with state-of-the-art statistical software packages and other software languages, including STATA, SAS, R, and Python.
Summit is experienced in using commercial cloud computing services to handle big compute and big data problems, which give us access to functionally unlimited data storage and analytical capacity. Cloud computing provides us the ability to dynamically and efficiently scale our infrastructure based on the needs of our work. We are also experienced maintaining Federal Information Security Management Act (FISMA) Moderate compliant while utilizing cloud services.
Summit’s Litigation Analytics Team consists of economists, data scientists, and statisticians providing expert witness and counsel support to government and private clients. Half of our team hold advanced degrees. We use advanced quantitative methods to generate evidence litigators need to prosecute or defend effectively. We use math as a tool to understand the world and for rhetorical purposes.
- Dr. Albert J. Lee is the Founding Principal and Expert Economist of Summit. He has extensive experience managing consulting engagements involving diverse teams of academic experts, economists, and other professionals. Dr. Lee is an expert in econometric modeling and statistical sampling. He holds a doctorate in economics from UCLA.
- Dr. Ed Dieterle is Director of Litigation Analytics. He directs multidisciplinary teams of researchers that use advanced quantitative methods to generate evidence litigators need to prosecute or defend effectively. Dr. Dieterle is an expert in applying quantitative and qualitative methods to study how individuals and team work together and learn. He holds a doctorate in Learning and Teaching from Harvard University.
- Dr. Edward Seiler, Economics, University of Chicago, Chief Housing Economist
- Dr. Alan Salzberg, Ph.D., Statistics, Wharton School, University of Pennsylvania, Subject Matter Expert
- Twyman Bentley
- Tim Book
- Kaye Burton
- Angelo Curto
- Matt Duffy
- Laura Hoesly
- Austin Lasseter
- Alex Melton
- Bethany Moore
- Ryan Murphy
- Natalie Patten
- Balint Peto
- Victoria Puryear
- Tim Satterfield
- Shane Thompson
- Marc Verduzco
- Luke Wallace
- Corey West
The following case studies represent some of the engagements the litigation directorate has successfully completed in recent years. Each study demonstrates how we apply our knowledge of advanced analytics, consulting services, and complex litigation to the needs of our clients.
Challenge: Policyholders sued a life insurance company for failing to disclose insurance policy changes that led to additional charges and changes in benefits.
Summit’s Role: Summit reviewed the damage estimation model produced by the opposing experts to estimate the damages to policyholders. This involved reviewing the code for reproducibility, programming mistakes, and model assumptions. The work also included performing various sensitivity tests by modifying the assumptions used to build the model to quantify the reliability of the original estimate.
Result: The Summit-identified model flaws or sensitivities may be used as evidence against suit or in settlement negotiations.
Breach of Contracts
Challenge: A class action suit targeted a Fortune 100 company for a breach in employment contracts.
Summit’s Role: Summit developed an econometric model to estimate damages to the class caused by the early termination of employees. In order to provide counsel with the magnitude to which various assumptions impact the damage estimate, different assumptions were applied to determine the most likely amount of damages owed to the class.
Result: Summit’s damage estimation calculations will be used as evidence in trial or during settlement negotiations.
Challenge: A group of hospitals was suspected of misreporting hospital claims submitted to Medicare.
Summit’s Role: Summit designed and implemented statistical sampling of Medicare claims to estimate the dollar amounts associated with inappropriate Medicare claims in hospital facilities.
Result: The hospital facilities were required to repay the lower bound of the estimate, or risk a lawsuit.
Challenge: Head Start administrative office staff were suspected of charging unallowable expenses to the Head Start program and of inaccurate record keeping of these expenses.
Summit’s Role: Summit designed and implemented a statistical sample to estimate the dollar amount associated with unallowable and undocumented expenditures.
Result: The agency found this program office responsible for inappropriate spending and required the office to pay the lower bound of the estimate to the government agency, or risk a lawsuit.
Challenge: A government agency required annual audits of their accounting records to ensure general ledger accuracy.
Summit’s Role: Summit applied statistical sampling to reduce the burden of auditing all unique transactions while still calculating a statistically reliable estimate of the general ledger inaccuracy within the level of precision required by government standards.
Result: The government agency used Summit’s statistical analyses to comply with government requirements while dramatically decreasing the level of effort required for performing account audits.
Inaccurate Account Balance
Challenge: An entity needed to determine whether a Fortune 100 Company properly paid claims to other entities negatively affected by a national incident.
Summit’s Role: Summit applied statistical sampling to estimate the dollar amount associated with inaccurate claim payments. The sample allowed for separate estimates to be made for different types of claims and results in a level of precision that meets industry standards.
Result: The entity used Summit’s statistical estimates to require the Fortune 100 Company to fulfill their claims obligations within a specified margin of error each year.
Summit is one of America’s fastest-growing private companies. In 2015, Inc. Magazine ranked Summit in the Top Ten in Washington, DC, and #1109 nationwide.
Summit earned WorldatWork Alliance for Work-Life Progress’s Work-Life Seal of Distinction for 2015. The seal is a unique mark of excellence designed to identify organizational success in work-life effectiveness.