When Data Structure Matters: The Hidden Value of Organized Records in Litigation

In forensic accounting and litigation support, the accuracy, completeness, and organization of underlying documents are often just as important as the numbers themselves. A recent case illustrates why:

• We received a spreadsheet listing expense transactions (including equipment, materials, travel, and outside services), each tied to a voucher number.
• Separately, we received 5,000 scanned receipt images, but the images were labeled simply “1” through “5000,” with no indication of which voucher or transaction each supported.
• Because there was no common identifier (file name, metadata, voucher number, vendor name, or date), we couldn’t reliably automate the matching. Manual review was required — increasing time, cost, and risk of human error.

The Challenge in Litigation Support

It is common in litigation for records to arrive in formats that are not fully organized. Sometimes this reflects limitations in recordkeeping practices, system exports, or the way documents are collected for counsel. Regardless of the cause, the result is the same: gaps that increase the scope and cost of forensic accounting analysis.

From a professional standpoint, this is not unusual. Forensic accounting often involves working with data that is less structured than ideal, assessing what is available, and organizing it into a defensible format. When counsel is facing a production like this, our job is to reconstruct the link between transactions and support, and document that pathway clearly enough to be repeatable and withstand scrutiny. Depending on who controls the records, we may be able to recommend targeted follow-up requests to close gaps; otherwise, we proceed with careful reconstruction and clear documentation of any limitations.

What the Research Shows

Many organizations experience measurable losses from poor data quality, which underscores the broader operational cost of disorganized records. Organizations are also expanding their use of analytics and AI, but results depend on structured inputs. The ACFE–SAS Anti-Fraud Technology Benchmarking Report notes that structured data is the most common analytics source, while unstructured data is used far less often—despite making up the bulk of real-world information. These findings reinforce that structured, well-organized data is not simply a “nice to have,” but a material factor in efficiency, cost, and credibility — especially under the scrutiny of litigation.

What We’ve Learned & Why It Matters

• Tools can’t fix missing structure. Tools like Excel’s Power Query, data-analytics platforms, or automated reconciliation tools require at least one consistent data point (voucher number, vendor name + date, or identifier in file names/metadata) or combination of data points that can be used to reliably match records between datasets . Without that, automation fails.
• Well-organized records preserve time, budget, and credibility. When files are structured and linked with identifiers, matching is faster, analyses are more defensible, and audit trails are easier to produce.
• Data produced in litigation often requires cleanup. We frequently see records with incomplete labeling, missing metadata, inconsistent formatting, or files with no obvious connection to the accounting exports. Our role is to navigate that uncertainty and rebuild structure where possible. When additional records are obtainable (for example, from the retaining counsel’s client), we also identify gaps early and help counsel target follow-up requests to secure the most reliable dataset available. When follow-up isn’t possible, we document limitations and proceed with a defensible analysis based on what exists. We then translate the results into clear schedules and testimony support.

Practical Takeaways: How Organizations Can Improve Before Disputes Arise

Even though forensic experts are usually engaged after a dispute begins, organizations that follow these practices produce records that are far easier (and less costly) to analyze if litigation ever arises:

• Use consistent identifiers. Every supporting document (receipt, invoice, voucher) should have a unique identifier (voucher number, transaction ID) included in both file names and metadata. These unique identifiers should also be used consistently across related documents to enable reliable linkage and traceability between supporting records.
• Maintain standard file naming conventions. Example: Voucher123_Receipt_01.jpg or 2025-05-15_Voucher123_ReceiptA.pdf. Clear, consistent naming makes mapping far easier down the road.
• Ensure metadata is preserved. When scanning or exporting, ensure dates, vendors, and other key data points are not stripped out.
• Retain original source data exports. When exporting spreadsheets or databases, include all available data points (vendor, date, amount, voucher, etc.) to preserve completeness.
• Document the data flow and repository structure. Maintain a record of how documents are stored, how they are named, and who is responsible. This “audit trail” is invaluable if records are challenged in litigation.
• Design for analytics. Build IDs (e.g., Voucher ID, Invoice ID, Payee ID) and consistent formats so structured and unstructured sources can be linked when analysis is required.

Why This Matters in Litigation

• Efficiency and cost control. Well-structured data allows for faster review, fewer manual interventions, and reduced risk of error.
• Credibility and defensibility. Clear and organized supporting documents strengthen the reliability of analyses presented in litigation.
• Risk mitigation. Disorganized data increases the chance of mistakes — mis-matched receipts, overlooked transactions, or inability to test assertions.
• Strategic preparedness. Organizations with clean data are better positioned to respond to discovery requests, with less delay and less rework.

Balanced Perspective

It is important to recognize that no system is perfect. Legacy software, manual processes, and human error mean that some organizational challenges are inevitable. In litigation, data may arrive without the identifiers needed for efficient reconciliation. That’s why forensic work exists: to restore structure where it’s missing and provide counsel a defensible financial narrative grounded in the records.

Conclusion

For all organizations, good record management and data structure are essential. Litigation, audits, or regulatory reviews can arise even when an organization has acted properly. Investing in clear, consistent, and well-linked records is not overhead, it is credibility protection when scrutiny occurs.

When disputes involve complex or poorly structured records, NAFA can support counsel by organizing and validating datasets, rebuilding links to source support, and documenting assumptions so the analysis is repeatable and defensible. That means clearer damages positions, stronger challenges to contested claims, and workpapers/exhibits that hold up in deposition, mediation, or trial.

Sources

1. Association of Certified Fraud Examiners (ACFE) & SAS. 2024 Anti-Fraud Technology Benchmarking Report. 2024. SAS
2. Herrington, Kim, and Jayesh Chaurasia (with additional contributors). Millions Lost In 2023 Due To Poor Data Quality, Potential For Billions To Be Lost With AI Without Intervention (Data Snapshot). Forrester Research, July 31, 2024. forrester.com