Litigation Support & Environmental Expert Witness
The Reynolds Group consists of experienced professionals, representing a wide range of environmental disciplines, who are capable of supporting attorneys and clients in all aspects of environmental litigation. Our experts include registered professional engineers, geologists, and biologists with expertise in source identification, remediation, contracting, and financial analysis. TRG’s approach is to build, document, and reinforce technical and legal strategies clearly and forcefully, working closely with legal counsel. We provide theoretical and scientific expertise, combined with real-world experience, making us uniquely qualified for this type of work.
TRG performs thorough analyses of scientific, engineering, financial, and historical facts in developing litigation strategies. These analyses include graphical presentations of chemical and geological data on detailed site maps layered with historic uses, aerial photographs, and subsurface features. Our environmental experts provide effective guidance during trial preparation and decisive expert witness testimony at trial and in a deposition. Our experience includes the cost of and schedule of cleanup, diminution of value, third-party claims and settlements, insurance-related matters, reasonable value, and contribution calculations.
For enforcement or regulatory agency actions, TRG participates in informational meetings and presentations of government and regulatory officials and, if required, the public. Our staff is skilled regulatory negotiators who have successfully obtained site closures for hundreds of sites under the oversight of many states, county, and city regulatory agencies.
TRG’s litigation support specialties include:
- Environmental chemistry and engineering forensics
- Data evaluation and management
- Environmental data visualization and Geographic Information System (GIS) mapping
- Expert witness in a matter related to assessment, contamination, and remediation
- Remediation and assessment cost estimation with years of real data as support