Dealscribe launches AI chat tool for deal docs

Dealscribe has launched “Ask Dealscribe,” a natural-language chat tool designed to help market participants search and compare deal documentation. The product taps verified data on more than 5,000 structured finance and credit deals and uses segregated large language models to protect confidential terms.

Why it matters: - Ask Dealscribe gives investors and other market participants a faster way to find, compare and extract information from deal documents. - The tool targets a part of the market where manual document review is time-consuming and internal AI systems can be costly to maintain. - Dealscribe says the product is built to protect confidential deal terms while still making its database easier to use.

What happened: - Dealscribe launched Ask Dealscribe, an intuitive chat function for accessing its deal documentation data through natural-language questions. - The launch was announced Oct. 16, 2026, in London. - The initial version uses the model context protocol, or MCP, to connect large language models to data sources. - Michael Peterson, Dealscribe's chief executive, said many investors are losing interest in expensive internal AI tools and want access to an existing document and intelligence base.

The details: - Ask Dealscribe is built on data from the governing documents of more than 5,000 deals. - The database covers collateralized loan obligations, leveraged loans, high yield bonds, residential mortgage-backed bonds and commercial real estate securitizations. - Dealscribe says the underlying data is curated and verified by a 40-person research analyst team. - The tool uses segregated versions of leading large language models. - Dealscribe says that setup prevents confidential deal terms, user prompts and language from leaking into or training public models. - Ask Dealscribe cannot alter Dealscribe data. - The function can be disabled for individual users. - Dealscribe provides independent analysis of legal terms in financial deals, including CLOs, corporate credit agreements and asset-backed securities. - The service is designed to help users find information quickly, track market standards and compare hundreds of deal terms across more than 5,000 deals. - Dealscribe also operates a LinkedIn page at More information.

Between the lines: - The launch signals that structured finance data providers are packaging AI as a workflow tool, not just a search feature. - The emphasis on segregated models and non-editable data suggests data security and integrity are central to adoption in this market. - Dealscribe is positioning Ask Dealscribe as an alternative to building custom internal AI systems.

What's next: - Dealscribe says it is developing additional AI-driven tools that will be integrated into Ask Dealscribe in the near future. - The company is likely to expand the platform's utility as more deal documents and intelligence tools are added.

The bottom line: - Ask Dealscribe turns a large verified deal database into a conversational research tool, with security controls aimed at making AI usable for credit and structured finance professionals.