Inside an Olympic-Level Investigation
How AI and Modern Forensics Would Reshape the USA Gymnastics Case Today
Few investigations in modern sports history have carried the scale, complexity, and emotional weight of the Larry Nassar and USA Gymnastics matter. What began as individual reports of abuse ultimately revealed systemic failures across multiple organizations responsible for athlete safety, including USA Gymnastics, the U.S. Olympic Committee, Michigan State University, and oversight bodies at both the state and federal levels.
Between 2015 and 2020, investigative teams worked through enormous volumes of evidence: electronic medical records, emails, text messages, training logs, organizational documents, device extractions, metadata, and thousands of pages of victim and witness statements. Multiple agencies conducted parallel investigations, each with its own scope, systems, and processes, adding significant operational complexity.
Even with the digital tools available at the time, evidence processing remained labor intensive, time consuming, and heavily dependent on manual review and coordination. Today, AI, GenAI, and forensic tools and discovery platforms would materially change how an investigation of this magnitude is executed.
This blog explores how modern technology would reshape a case like the Nassar investigation from an investigative and forensic perspective, and why these capabilities matter for any organization responsible for integrity, compliance, and participant safety.
1. How the Investigation Actually Worked (2015–2020)
Although the Nassar matter occurred in the digital era, investigative technology was less mature than what is available today. Forensic & litigation support teams faced challenges across four primary areas: forensic data collections, communication review, multi-agency coordination, and investigative reporting.
A. Forensic Collections and Extractions
Investigators worked with:
Multiple phones and laptops
External drives
Social media platform data
Email data
Extracting data, recovering deleted materials, and maintaining forensic integrity often required manual effort. Some devices had to be revisited as new leads emerged or as the capabilities of forensic collections evolved, adding time and complexity to the investigation.
B. Communication Review
Reviewing organizational communications required:
Manual export of large email archives, sometimes from legacy systems
Untangling nested PST files and mailbox files
Applying basic keyword searches with limited analytics
Reviewing thousands of messages across multiple custodians
At the time, technology offered limited ability to surface behavioral patterns, escalation failures, or risk signals across large communication sets.
C. Multi-Agency Coordination Challenges
Because multiple entities were involved, including:
Federal, State, and Local law enforcement agencies
USA Gymnastics
U.S. Olympic Committee
Michigan State University
Independent investigative commissions
Each entity operates within its own systems; this created duplication of effort, delays in alignment, and challenges in maintaining a single, consistent factual record.
D. Investigative Reporting
Investigative teams were responsible for producing:
Chronological narratives
Issue and finding summaries
Witness and victim timelines
Policy and procedural analyses
Detailed documentation of organizational responses
Assembling these materials required stitching together interviews, metadata, communications, and records from multiple sources. Without automation, report development often took weeks or months.
2. How AI, GenAI, and Modern Forensics Would Transform the Investigation Today
If an investigation of this scope were conducted today, the most significant change would be in how quickly and clearly investigators could understand what happened, when it happened, and how organizational responses evolved.
A. AI-Powered Forensic Triage
Modern forensic platforms allow investigators to:
Process device images in shorter periods
Prioritize content using behavioral and relationship analysis
Cluster communications by individual, topic, or activity
Identify anomalies, gaps, or sudden shifts in communication
Surface altered content through metadata comparison
These capabilities dramatically accelerate early-stage understanding without compromising forensic defensibility.
B. GenAI-Assisted Investigative Reporting
GenAI can assist investigative teams by:
Drafting chronological narratives from extracted metadata
Summarizing interviews and statements for review
Highlighting inconsistencies or conflicting accounts
Surfacing policy-related risks embedded in organizational documents
GenAI supports investigators by reducing manual synthesis effort, while human experts validate findings and conclusions.
C. Enterprise-Wide Discovery and Document Review
With platforms like RelativityOne and aiR:
Communications across agencies and custodians can be centralized
Analytics prioritize relevant material early
Privilege indicators are applied consistently
Topic clustering surfaces themes such as reporting failures or internal risk awareness
This allows investigative teams to focus on analysis rather than document logistics.
D. Pattern and Behavior Analytics
AI is particularly effective at:
Identifying recurring complaints over extended time periods
Mapping how reports were escalated or delayed
Revealing inconsistencies between internal discussions and external actions
Highlighting systemic issues rather than isolated incidents
These insights are critical for understanding institutional failures, not just individual actions.
E. Real-Time Cross-Agency Collaboration
Secure, cloud-based discovery environments enable:
Multiple investigative teams to work from the same dataset simultaneously
Shared tagging, timelines, and review protocols
Real-time updates as new evidence is introduced
Elimination of duplicate processing and conflicting data sets
This level of coordination significantly reduces friction across large, multi-party investigations.
3. Then vs. Now: Operational Impact of Modern Investigation Technology
| Stage | 2015-2020 Operations | Modern Investigation Workflows |
|---|---|---|
| Device extraction and triage | Manual and time intensive | AI-assisted prioritization |
| Communication review | Linear and custodian-based | Analytics-driven |
| Document review | Months of manual effort | Weeks with early insight |
| Investigative reporting | Manual synthesis | AI-assisted drafting |
| Multi-agency coordination | Fragmented | Centralized and collaborative |
These comparisons are illustrative, but they reflect a clear shift in investigative execution: modern tools improve speed, consistency, and transparency while maintaining defensibility.
4. Why This Case Matters for Investigations and Organizational Integrity Today
The Nassar investigation revealed critical breakdowns in reporting structures, communication practices, and institutional accountability. Organizations today face similar risks whenever allegations, complaints, or compliance concerns arise.
Modern forensic and discovery tools help organizations:
Detect concerning behavior earlier
Improve escalation and response workflows
Analyze communication patterns for systemic gaps
Build defensible, transparent investigative records
Deliver findings with greater clarity and confidence
These capabilities are no longer optional for organizations with legal, compliance, or oversight obligations.
5. Where Page One Fits In
Page One supports high-stakes investigations by combining modern forensic technology with experienced investigative execution. Members of our team have firsthand experience supporting complex, multi-agency investigations of this nature, giving us a practical understanding of the operational challenges involved.
With modern AI and discovery workflows, we help organizations:
Process and analyze large volumes of digital evidence
Identify communication patterns and risk signals
Produce clear, defensible timelines and findings
Maintain transparency and consistency throughout investigations
Our role is not to replace investigators, but to ensure the evidence underlying their conclusions is handled with precision, integrity, and clarity.
Conclusion
If the USA Gymnastics investigation occurred today, AI, GenAI, and forensic workflows would dramatically change how the work is executed. The experience and expertise of investigators remain essential, but technology now provides the speed, structure, and defensibility required to manage large-scale investigations.
For organizations responsible for protecting people and maintaining trust, the evolution of investigative technology has redefined what effective response looks like. By pairing advanced tools with experienced service providers, teams can respond to complex matters with greater confidence, transparency, and accountability.