Webinar

IA Done Right: Contract Intelligence at Monotype

How Monotype turned decades of M&A contracts into queryable data with Botminds — license entitlements, clause-level search, and CRM-connected results.

This showcase, recorded in June 2022, is a customer telling their own story. Jan Kaestner and the Monotype team had decades of M&A agreements spread across jurisdictions, full of non-standard clauses, and consumed by different parts of the business for different reasons. Using Botminds — custom AI models, analytics, query layers, and dashboards — they turned that archive into something the business could actually interrogate, delivered in weeks.

What Monotype got out of it

The session walks through outcomes, not features. Determining a company’s license entitlement became a lookup rather than a research project. New contracts — whether signed directly or inherited through acquisitions — could be onboarded through the same pipeline instead of a manual backlog. Extracted results connected to the existing CRM, so contract intelligence landed where the business already worked.

The part worth watching twice is the question-answering: the business could ask things like “how many contracts were concluded between 2010 and 2020 with modified export control clauses” and get an answer quickly, with little effort. And because different users read contracts differently — an IP enforcement researcher looks for different things than a contract counsel — the interface let each role shape the view to its own needs rather than forcing one workflow on everyone.

Speakers

Why it still holds up

Contract intelligence is a document-to-decision problem in its purest form: the answers exist, but they are buried in thousands of pages nobody has time to reread. The Monotype pattern — AI reads everything, extracts what matters, cites where it found it, and humans review the calls that matter — is the same governed approach Botminds applies today across contracts, credit files, and other document-heavy operations. This session shows what it looks like when it works.

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