How does Plural’s AI Bill Summarizer streamline complicated public policy work and save time for busy policy teams? Learn more and book a demo today.
In today’s fast-paced legislative space, effective public policy work requires the ability to quickly comprehend and extract key information from bills. However, bills can be long and complicated. They address complex issues, cover multiple aspects of a particular topic, and account for various stakeholders’ interests and perspectives.
Over the course of a legislative session, policy experts must sift through hundreds of bills to identify those they care about. One effective way to save time and improve accuracy while still maintaining a high quality of work is to review bill summaries.
Unfortunately, many jurisdictions do not provide bill summaries. This leaves policy experts with the onerous task of reviewing long, complicated bill text. Even in cases where summaries are available, they are often like the bills themselves: lengthy and difficult to read. Bill summaries often lack key context necessary to highlight essential aspects of bills.
AI-generated summaries can significantly expedite the bill summarization process by extracting the most relevant information and presenting it in a concise format. They enable decision-makers to quickly grasp the key aspects of proposed legislation, facilitating more informed and timely decision-making.
How do bill summaries work?
AI bill summarizers work using text summarization capabilities. Text summarization is a powerful technique in natural language processing that involves condensing a piece of text, such as legislative documents, into a shorter, more concise text while retaining key information. Today, we can use Language Models (LMs), which are trained on vast amounts of text data to achieve the ability to generate human-like language. These LMs are generative models that can create text beyond simple sentence extraction or rephrasing. They can understand information and generate summaries that may not have been explicitly present in the original document.
Further, LMs can be fine-tuned for a particular domain or task. For example, they can be designed to capture the unique language patterns, terminology, and context specifics of bills.
Introducing Plural’s AI-Powered Bill Summarizer
At Plural, we’ve made it our mission to help policy teams work faster, collaborate more effectively, and amplify their impact. We’re excited to announce that Plural’s AI Bill Summarizer will be available to users of our Premium plan by the end of 2023. The goal of the Bill Summarizer is to combine speed, accuracy, and efficiency, allowing you to focus on critical decision-making processes to help your organization achieve its goals.
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