Structured Data in Commercial Disputes: The Documentation Problem
The challenge in ERP-sourced litigation data isn't the SQL. It's producing a documented protocol that establishes how the queries were constructed, what data was selected and excluded, and how the extraction was preserved from the source to the expert's working dataset. Courts and opposing counsel will scrutinize every step. Without a forensic accounting workflow that creates a formal record of each data pull, even a technically correct extraction is vulnerable to evidentiary challenge — and building that documentation retroactively after the damages model is already running creates problems that are difficult to cure.
From ERP to Relativity with a Defensible Chain of Custody
An AI Labor Company agent produces the full structured data extraction package for royalty underpayment litigation: documented SQL query designs scoped to the specific transaction records at issue, a chain-of-custody log for every data pull from the defendant's ERP, and a validated dataset loaded into Relativity ready for the forensic accounting expert. Nuix provides the unstructured document context for any related communications; iManage keeps the attorney work product organized; Westlaw Edge supports any statutory or regulatory interpretation the damages framework requires. The expert receives a clean, documented, court-ready dataset rather than a spreadsheet with ambiguous provenance.
Speed to Expert Engagement and Matter Efficiency
In commercial litigation, the time between exclusivity and expert engagement matters — delays in data production push back expert report deadlines and compress the litigation schedule. An agent that delivers a complete, documented extraction protocol in a fraction of the time it takes to build one manually accelerates the path from discovery receipt to damages modeling. The efficiency reduction on structured data protocol work typically runs 60–80%; the matter-level value is measured in weeks recovered on the litigation timeline and reduced write-off risk on associate hours spent on documentation logistics rather than legal analysis. This configuration is typically live in about 5 weeks.
Does the agent require direct access to the defendant's ERP system, or does it work with produced data?
The agent works with data produced in discovery — it designs the SQL query framework and chain-of-custody documentation, validates the extraction against the production specifications, and loads the resulting dataset into Relativity. Direct ERP access by the agent is neither required nor typical in the litigation context.
Can the agent support expert testimony preparation, or is it scoped to data extraction?
The agent's scope is data identification, extraction protocol documentation, and Relativity loading — the inputs the forensic accounting expert needs to build and defend the damages model. Expert report preparation and testimony prep remain attorney and expert work; the agent ensures the evidentiary foundation is solid before that work begins.