The Prompt Is Only the Beginning: The Expanding Role of Paralegals in AI-Assisted Discovery
- Arial Baker
- Feb 25
- 5 min read
The integration of artificial intelligence into legal workflows has transitioned from a novelty to a central component of modern practice. As firms increasingly rely on large language models to categorize documents and summarize testimony, a significant shift in judicial expectations has occurred.
The case law of 2025 marks a definitive shift where discovery is no longer viewed as a series of boxes to check, but as a strategic discipline where decisions are under intense judicial scrutiny. This includes a growing judicial trend where technical AI interactions are not automatically shielded from view: instead, courts are beginning to treat AI data, including prompts and logs, as discoverable Electronically Stored Information (ESI) when relevant to the claims at issue.
AI Logs as Discoverable ESI
In landmark decisions throughout 2025, judges have signaled that when AI performs substantive legal tasks, the records of those interactions may be subject to production. These logs contain the specific instructions provided to the machine, the iterations of those instructions, and the subsequent outputs.
The Mandatory Preservation of Logs: In In re OpenAI Copyright MDL, United States Magistrate Judge Ona Wang entered a preservation order requiring the segregation of output log data. This ruling established that AI logs are relevant ESI that cannot be routinely deleted once litigation is anticipated.
Privacy Is Not a Veto: Judge Wang also rejected the argument that privacy concerns, including the General Data Protection Regulation (GDPR), which is the legal framework for data privacy in the European Union, could act as a categorical bar to discovery.
The Risk of the Black Box: Courts have rejected arguments that AI processes are too proprietary or technical for scrutiny, stating that AI behavior and output logs can be critical evidence in understanding a party's discovery efforts.
Because the judiciary increasingly treats these technical interactions as evidence of the discovery process itself, the role of the paralegal must evolve to manage this new category of ESI.
The Rule 26(g) Certification Obligation
Discovery responses in federal court signed under Federal Rule of Civil Procedure 26(g), requires that at least one attorney of record certify that the response is complete and correct to the best of the attorney’s knowledge, information, and belief formed after a reasonable inquiry. This certification is not a formality. It is an affirmative representation to the court that the discovery process was conducted responsibly and in good faith.
When artificial intelligence tools are used to identify responsive documents, classify privilege, narrow large data sets, or generate summaries relied upon in discovery responses, that use becomes part of the reasonable inquiry underlying the certification. The attorney’s signature therefore encompasses not only the final production, but the methodology used to arrive at it.
Reasonable Inquiry in the Age of AI: Courts do not require perfection, but they do require defensibility. If an opposing party challenges the adequacy of a production, counsel must be prepared to explain what tools were used, how prompts were structured, what validation steps were taken, and what human review occurred. Without documented oversight, that explanation becomes difficult to provide.
Sanction Exposure: A certification made without substantial justification may expose the firm to sanctions under Federal Rule of Civil Procedure 37. Where AI systems materially influence responsiveness decisions, privilege determinations, or data filtering, the absence of supervision and documentation can undermine the ability to demonstrate that a reasonable inquiry occurred.
Substantive paralegal oversight strengthens the defensibility of that certification. By recording the objective of prompts, tracking iterations, conducting validation checks, and preserving an account of supervisory review, the legal team maintains the evidentiary foundation necessary to support its Rule 26(g) obligations. In this framework, the prompt is only the beginning of the inquiry. The certification is the representation that must ultimately withstand judicial scrutiny.
The Defensible Necessity of Human Oversight
To mitigate the risk of judicial sanctions or waived privilege, firms must move beyond an automated approach to AI. Substantive paralegal oversight provides the bridge between the raw prompt and a defensible legal result.
The Ethical Peril of Hallucinations: In Lacey v. State Farm General Insurance Co. (2025), a Special Master sanctioned counsel for submitting a brief containing nonexistent cases generated by an AI tool. The court described the incident as a collective debacle of human oversight.
The Duty to Verify: The Lacey ruling emphasized that no reasonably competent attorney should outsource research to technology without attempting to verify the accuracy of the material.
Strategic Breakdown: Courts are increasingly treating the failure to supervise technology and data collection as a strategic breakdown. The massive $3 million sanction in Guardant Health, Inc. v. Natera, Inc. underscored that a failure to track and supervise how data is managed can lead to devastating evidentiary consequences.
Establishing these manual checkpoints ensures that the final production reflects professional judgment rather than machine error. This oversight is then formalized through a specific method of record-keeping.
Creating a Paper Trail of Diligence
The modern paralegal ensures that every interaction with a language model is backed by an informative account of the legal reasoning used. This documentation serves as a shield during discovery disputes.
Documenting Logic: Instead of simply inputting a request, paralegals record the objective of the prompt and the legal standards applied to prove a defensible intent.
Iterative Validation: Recording quality control checks proves the firm did not delegate its professional duties to an algorithm.
Supervision of Data: Lessons from recent sanctions cases show that counsel must actively supervise how data is searched and managed: paralegals provide the front-line verification that these processes are followed.
Version Control: Keeping a history of prompt versions allows a firm to explain the evolution of their search methodology if challenged by a magistrate.
By maintaining these detailed records, the legal team can confidently present their methodology to the court. This transition from blind reliance to documented oversight is what ultimately protects the firm from external scrutiny.
Navigating the intersection of emerging technology and evolving case law requires more than just software: it requires a specialized approach to documentation and oversight. Scribe & Pen serves as the essential partner in bridging the gap between raw machine output and court-ready work product. Our team serves as a vigilant partner in safeguarding the integrity of your workflows, providing the continuous oversight and detailed documentation necessary to withstand judicial scrutiny from the initial query through the final production. We help you implement the meticulous record-keeping that satisfies judicial expectations, ensuring your firm can embrace the efficiency of AI without sacrificing the security of professional judgment.
Source Citations:
In re OpenAI Copyright MDL:
Guardant Health, Inc. v. Natera, Inc.:
Oakley v. MSG Networks, Inc:
In re Uber Technologies Passenger Sexual Assault Litigation:
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