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St. Mary’s County Sheriff’s Office demands $27,000 to disclose AI court document usage

The St. Mary’s County Sheriff’s Office in Maryland is charging over $27,000 to fulfill a public records request regarding its use of the 'Code Four' AI system in sworn court documents.

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Source-page capture accompanying St. Mary’s County Sheriff’s Office demands $27,000 to disclose AI court document usage
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sud.ua
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sud.uahttps://sud.ua/en/news/abroad/373152-ofis-sheryfa-vykorystav-shi-dlia-dokumentiv-u-sud-i-zaprosyv-ponad-27-tysiach-za-podrobytsi
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Generative AI
AI systems that produce new content such as text, images, audio, video, or code.
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The input instructions and context provided to a generative model.
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What happened

The St. Mary’s County Sheriff’s Office in Maryland has demanded $27,129.25 from journalists to process a public records request concerning the agency's use of an AI system called 'Code Four.' According to the Sud.ua report, which cites Smnewsnet, the sheriff's office confirmed that 40 employees across various departments—including patrol, criminal investigations, and special operations—have access to the tool. The agency acknowledged that the system is used to assist in the preparation of court documents, though it has not established a specific policy governing the use of AI in sworn affidavits, indictments, or arrest documents.

The St. Mary’s County Sheriff’s Office in Maryland is currently embroiled in a dispute over public records access regarding its use of the 'Code Four' AI system. The agency has estimated that fulfilling a request for information about how this AI is used in court documents would cost $27,129.25, citing the need for hundreds of hours of staff time to compile the data.

The sheriff's office admitted that 40 employees have access to the tool, which is used to assist in drafting various legal documents. While the agency estimated that AI was used in approximately 5% of 2,680 reports—roughly 134 cases—it clarified that this figure is an estimate rather than a confirmed count.

Crucially, the agency stated it does not have a specific policy regarding the use of AI in sworn court documents, such as affidavits or indictments. Despite the potential legal implications of using AI in documents signed under penalty of perjury, the sheriff's office has refused to waive the fee for the journalistic inquiry, leading the requesting publication to consider legal challenges to the cost calculation.

Source details: sud.ua ↗

Why it matters

This case highlights a growing tension between law enforcement's adoption of and the public's right to transparency in the judicial process. Because these documents are signed under penalty of perjury, the lack of clear policy regarding AI-assisted drafting raises significant questions about accountability and the integrity of evidence. The high financial barrier imposed by the sheriff's office effectively prevents public oversight of how taxpayer-funded AI tools are influencing legal proceedings, setting a concerning precedent for transparency in the integration of AI into the justice system.

The integration of AI into law enforcement workflows, particularly in the creation of court-bound documents, introduces risks regarding the accuracy and provenance of evidence. When AI is used to draft sworn statements, the lack of clear policy or disclosure requirements complicates the ability of defense attorneys and the public to verify the human oversight involved in those documents.

The use of high fees to effectively block public records requests regarding AI usage creates a 'transparency tax' that shields government agencies from accountability. This prevents the public from understanding the extent to which AI is influencing the judicial process, which is a critical concern for due process and the rule of law.

This situation serves as a practical example of the 'black box' problem in public sector AI adoption, where the tools are deployed without corresponding frameworks for auditability or public disclosure.

Interactive Mechanism

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Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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What to watch next

The primary issue to monitor is whether the sheriff's office will be forced to waive the fee or if the request will be challenged in court. Additionally, the lack of a formal policy regarding AI in sworn documents suggests a regulatory vacuum that may further legal scrutiny or legislative action in Maryland. Observers should watch for whether other jurisdictions adopt similar 'Code Four' systems and how they handle the disclosure of AI involvement in legal filings.

Future legal or administrative challenges to the $27,000 fee will be a key indicator of how courts view the public's right to information about AI usage in government.

The development of formal policies regarding AI in law enforcement, specifically for documents submitted to courts, is a necessary step that may be accelerated by this public controversy.

The broader adoption of 'Code Four' or similar systems in other jurisdictions may lead to a wave of similar public records requests, testing the limits of transparency laws in the age of .

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