When it comes to legislation, there is a constant stream of information: bills, laws, hearing transcripts, and reports. Keeping up with this information is essential for legislators. However, the sheer volume of this data makes traditional manual approaches to turning it into digestible formats and summaries slow and time-consuming.
In this case study, we describe how our clients implemented an AI-powered solution that automates the creation of concise and informative summaries for public meetings. The technology has transformed the way they interact with legislative content, making it easier and faster for them to provide services to their clients.
Background
Our client is a mid-sized legislative tracking company that offers legislative information services for diverse clients. One of the services they provided was the creation of manually drafted meeting summaries for staff and lobbyists. However, due to varying summary requirements across different jurisdictions and a high volume of meetings, they often experienced delays in delivering their services.
To address this issue, our client has decided to modernize their meeting summarization processes. They approached us to develop an automated solution that would transition them from manual methods of summarizing public meeting transcripts and ensure the timely service delivery of accurate summaries.
Challenge
When relying on manual methods for summarizing legislative information, the clients faced several challenges:
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Inefficient manual processes. Manual summarization consumed a lot of time and resources, which often resulted in delays.
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Varying summary requirements. The company had to deal with varied preferences and requirements for meeting summaries, which made it challenging to standardize the summarization process.
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Information overload. As the volume of meetings increased, the manual approach became unsustainable and hindered the company’s ability to provide its services promptly and effectively.
Solution
We understood that implementing generic AI solutions can be error-prone, especially with official documents. Therefore, our team recommended developing a custom AI pipeline specifically designed to meet the needs of the legislative domain.
The pipeline focused on automating the following stages of the client’s workflow:
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Transcript processing. The pipeline processes meeting transcripts to prepare the data for analysis.
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Agenda item identification. Trained on a vast dataset of legislative transcripts, the algorithm identifies specific agenda items discussed throughout the meeting.
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Tailored summarization. Based on the identified agenda items, the AI generates customized, concise, and informative summaries that convey the essence of the meeting discussions and are tailored to each client’s needs.
Benefits
The implementation of a custom AI pipeline has brought significant improvements to clients’ processes:
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Enhanced efficiency. The automation has reduced manual practices and led to significant time savings, enabling the company to handle a greater number of hearings without the need to allocate additional resources.
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Consistent and reliable information. The pipeline allowed for tailored AI summaries that follow a consistent format and highlight key points. This has resulted in delivering summaries faster, leading to greater client satisfaction.
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Scalability and cost savings. The AI solution can handle a high volume of meetings across different jurisdictions without compromising quality. This means that as the client’s business grows, the solution can scale to accommodate increased workloads and ensure uninterrupted service delivery.
Final thoughts
The development of a custom AI pipeline has significantly automated the client’s summarization process. Addressing the specific challenges posed by official document summaries, the company managed to enhance efficiency, scalability, and client satisfaction. With this solution in place, they can now produce high-quality summaries without delays and worries about ensuring accuracy and adherence to different jurisdiction requirements.