Bloomberg has announced the forthcoming release of its Document Search & Analysis solution, an AI-driven research tool designed to streamline how financial professionals interrogate and interpret large volumes of market data and reports. The product is expected to be rolled out to Bloomberg Terminal users by the end of the year.
The new tool enables users to pose questions in natural language and receive structured, comparative insights from a range of internal and external sources, including earnings transcripts, regulatory filings, Bloomberg News articles, and independent analyst research. It leverages more than 15 years of Bloomberg’s AI development in financial applications, underpinned by four decades of domain expertise.
“Our clients are always eager for what’s next, and every feature we develop is grounded in their evolving needs,” says Suzanne Szur, Business Manager, Research & Companies Product at Bloomberg, in conversation with TradingTech Insight. “When we introduced transcript summaries, users told us they wanted to ask their own questions, not just rely on what we highlighted. That feedback inspired us to build an experience where they could directly interrogate documents using natural language. Initially focused on earnings transcripts, this capability now extends across our entire content universe, including annual reports, ESG disclosures, internal notes, and research reports. The next step has been enabling users to compare multiple documents at once. It’s a significant leap: users can now extract insights from our vast, trusted library, fully integrated into the Terminal.”
The new release aims to improve research productivity by allowing users to compare companies or sectors over time and collaborate through integrated features such as IB chat and RMS Enterprise. These capabilities are expected to support a more seamless decision-making process across investment teams.
“Every AI-generated summary or answer we provide includes clear attribution, both to the source and, where applicable, to the analyst who authored it,” explains Szur. “If the content originates from a company document, such as an earnings call or annual report, that’s explicitly stated. When the insight comes from an analyst, we indicate both the firm and the individual analyst. If the analyst is active on the Terminal, users can see their status and connect directly. It’s all designed to make sourcing transparent and to allow users to tap into the broader Bloomberg system with ease.”
Early users of the beta version, including Schroders, Bernstein, Mizuho Securities, and Groupama Asset Management, report improved insight generation and preparation speed for investor meetings and research tasks.
“In addition to accessing Bloomberg’s research library, users will soon be able to connect their own internal content, enabling them to analyse their proprietary research alongside Bloomberg’s data, sell-side reports, and insights from other analyst firms,” says Szur. “We’re currently working with beta users on this functionality, and expect to make it widely available by the end of the year.”
The new product builds on Bloomberg’s broader strategy to integrate AI across the Terminal, following earlier launches such as AI-Powered News Summaries. Future updates are expected to expand coverage and enhance functionality.
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