What challenges did Nebraska Judicial Branch face before AI implementation?

Scalability, security, and chain of custody maintenance for physical and electronic exhibits were difficult to manage with manual processes. There was also limited physical space for document storage and human error risk in handling exhibits.

What was the impact of the AI solution?

Centralized and modernized exhibit management, improving efficiency and security. Semantic search capability reduced case query response times from hours/days to seconds. Created a secure, scalable solution supporting electronic submission and retention policies for legal exhibits.

Source

Nebraska Judicial Branch Modernizes Electronic Exhibits System with AWS

Use case typeSemantic searchUpdated Jun 13, 2026

The Nebraska Judicial Branch faced challenges managing, storing, and securing physical and digital case exhibits with manual processes that lacked scalability and secure chain of custody. They implemented a secure, scalable, serverless microservices-based electronic exhibits system on AWS integrating Amazon Bedrock for generative AI semantic search. This solution centralized exhibit management and introduced semantic search capability, reducing response time for case-related queries from hours or days to seconds, improving security, accessibility, and retention.

Organization: Nebraska Judicial Branch
Industry: Public Sector
Location: United States
Published: November 2023

Reported outcomes

Strategic outcomes

New product / capabilityIntroduced semantic search for exhibitsSpeed & agilityFaster case-related query responsesScale & capacityCreated a scalable exhibit management systemCustomer experience & trustCentralized and modernized exhibit management

Primary read

Use case focus

Showing 2 of 2

1Generative AI for Legal Document Management
2Semantic Search

Scalability, security, and chain of custody maintenance for physical and electronic exhibits were difficult to manage with manual processes.
There was also limited physical space for document storage and human error risk in handling exhibits.

A cloud-native content management system was implemented using Amazon ECS, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, Amazon Cognito, and Amazon Bedrock.
Semantic search was added using Amazon OpenSearch Service and foundation models on Amazon Bedrock, enabling fast semantic search answering capabilities.
Multiple stakeholders including court staff and judges participated in requirements gathering and validation.

Technologies

Amazon Elastic Container Service AWS Lambda Amazon API Gateway Amazon Simple Storage Service Amazon DynamoDB Amazon Cognito Amazon Bedrock Amazon OpenSearch Service

Centralized and modernized exhibit management, improving efficiency and security.
Semantic search capability reduced case query response times from hours/days to seconds.
Created a secure, scalable solution supporting electronic submission and retention policies for legal exhibits.

Architecture

The architecture uses Amazon ECS, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, Amazon Cognito, Amazon Bedrock, and Amazon OpenSearch Service to provide a secure, scalable electronic exhibits management system with generative AI powered semantic search capabilities.

Implementation partners1

ScaleCapacity

Sources & evidence1

Groundedness: 5/5

Primary source

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