Why Courts Need Trained A.I. Solutions—Not Home-Grown Pilots

Did you know that a 2024 Ernst & Young survey found that nearly 60% of U.S. government agencies now have access to A.I. tools [1]? With this surge, many agencies are asking IT teams to build pilot A.I. initiatives based on platforms like ChatGPT or other popular A.I. services. But for courts and county governments, leaders need to make sure all solutions are aligned with public service values: security, accuracy, and operational efficiency.

Security Isn’t Optional

Courts manage some of the most sensitive data in government: legal documents, case records, and personally identifiable information. Using public A.I. platforms for pilot programs introduces risk, as these tools often rely on shared, cloud-based systems where data can be stored, reused, or exposed [2].

Our team has been working with government leaders around the country for close to a decade, and we are excited about the growing trend to leverage A.I. to create great self-service solutions.

ARS Connect, the cloud A.I. system behind Advanced Robot Solutions, operates in dedicated, non-shared environments. This ensures:

• Data is isolated per client instance.

• Conversations are never used to train global models.

• There’s no risk of cross-contamination between jurisdictions.

This approach aligns with the National Institute of Standards and Technology (NIST) guidance on A.I. risk management in government, which stresses minimizing exposure to external model training pipelines [3].

Accuracy Built for Local Government

General-purpose A.I. systems are trained on large, open datasets that are often outdated, generic, or irrelevant to your local laws. This can lead to:

• misinformation about filing deadlines

• incorrect fee guidance

• inapplicable legal advice that frustrates users and delays outcomes

Solutions specially built for your organization are fine-tuned with your current forms, procedures, and terminology—ensuring citizens receive relevant and specific information that builds confidence in your system.

Integration That Goes Beyond Q&A

Generic A.I. tools operate as standalone interfaces. They can’t:

• retrieve case data

• trigger event-based alerts

• facilitate online payments

• In other words, they can talk—but they can’t act.

Trained A.I. models, like ARS Connect, are built to communicate with end-users and  can integrate directly with your case management systems (CMS), payment processors, and scheduling tools, providing agentic infrastructure so citizens can:

• check their case status

• pay court fees

• schedule hearings …all from one place

This kind of connected experience is what Gartner refers to as "composable government," where services are integrated and citizen-centric [5]. According to the Center for Digital Government, 68% of local governments cite data privacy and compliance as top barriers to A.I. adoption [6].

Trained A.I solutions, are designed to reduce staff burden, speed up service delivery, and offer a real ROI through automation while also building public trust. We take it even further as we leverage the best techniques and libraries in the world of Conversational A.I. so that end-users can just talk or text to our avatars in up to 26 languages and get a helpful answer from the system.

Why It Matters

Courts don’t just need technology—they need trusted digital partners that operate securely, deliver accurate information, and integrate meaningfully with existing systems.At ARS, we build A.I. solutions that feature chatbots and kiosks, secure by design, purpose-built for government, and trained to support real outcomes for real people.

To be clear, ARS believes in the power of pilots and the importance of getting buy-in from IT staff.  But experimenting with off-the-shelf A.I. platforms, not built for government, is a risky idea that will take hundreds of hours to develop.  A pilot built and trained for your government agency will allow you to learn and refine your plan, without introducing unnecessary risk. 

Want to learn more? Contact us today!

References

StateScoop. “Federal government outpacing state, local agencies on AI adoption, survey

finds.” March 2024. statescoop.com/federal-government-state-local-ai-adoption-2024/

OpenA.I. Privacy Policy. “How we use your data.” openai.com/policies/privacy-policy

NIST. “A.I. Risk Management Framework.” U.S. Department of Commerce. www.nist.gov/itl/ai-risk-management-framework

Stanford HAI. “Evaluating Large Language Models on Legal Benchmarks.” https://hai.stanford.edu/news/hallucinating-law-legal-mistakes-large-language-models-are-pervasive

Gartner. “Composable Government: A New Era of Digital Service Design.” www.gartner.com/en/documents/4014335

Center for Digital Government. “Government A.I. Adoption Barriers and Opportunities.” 2023. www.govtech.com/cdg/government-ai-report.html