How can AI help with due diligence?

Artificial intelligence (AI) can help with due diligence by reducing the time teams spend searching, organizing and reviewing information. Instead of manually examining every document or relying exclusively on keyword searches, deal professionals can use AI to summarize materials, extract important information, identify potential risks and ask questions across large document sets.

The objective is not to automate investment judgment. It is to remove information-processing bottlenecks so professionals can spend more time evaluating what the findings mean for the transaction. As outlined in this guide to how AI can speed up due diligence, the biggest opportunity is connecting AI directly to the diligence workflow.

Turn document volume into usable information

A typical diligence process can involve financial statements, contracts, tax records, intellectual property, operational information and regulatory documentation. Finding relevant information across those materials can consume significant time.

AI can accelerate the first layer of review by summarizing lengthy documents, categorizing information and extracting important data points. Instead of starting with every page, professionals can identify areas requiring deeper investigation.

AI-powered discovery can take this further. Traditional keyword search generally returns documents containing specific terms. Conversational AI can allow users to ask questions in natural language and receive synthesized answers based on information contained across applicable documents.

This shift from document retrieval to information discovery can help teams understand complex diligence materials more efficiently. The Intralinks perspective on AI-powered buy-side diligence explores how these capabilities can help buyers spend less time searching and more time analyzing findings.

Reduce repetitive diligence work

Due diligence also involves substantial administrative work. Teams must track requests, locate supporting documents, coordinate subject matter experts and respond to buyer questions.

AI can help reduce repetitive work by identifying similar questions, finding relevant information and generating suggested responses for review. Document categorization and automated information extraction can further reduce the manual steps involved in organizing diligence materials.

Human oversight remains essential. AI-generated summaries and responses should provide a starting point for analysis rather than replace professional judgment. Deal teams should be able to validate important findings against the underlying source documents before making decisions.

Make AI security part of due diligence

Diligence information is highly confidential, so organizations should evaluate AI according to security and governance as well as productivity.

Teams should understand where transaction information is processed, whether AI respects existing document permissions and whether answers can be traced back to their sources. Moving sensitive documents into disconnected AI applications can create additional information-handling considerations.

Intralinks' research into AI security in M&A highlights why governance and data control are becoming increasingly important as AI adoption expands across deal workflows.

Bring AI into the diligence workflow

SS&C Intralinks DealCentre AI™ brings secure collaboration, document management and AI-powered intelligence together within the diligence process.

Link, Intralinks' proprietary AI engine, can generate document summaries, locate and extract information and identify sensitive data. Ask Link enables users to ask natural-language questions across applicable deal documents and receive answers with source references while respecting their existing document permissions.

DealCentre AI also applies Link to Smart Q&A workflows, including aggregating duplicate inquiries and generating suggested responses. For buy-side teams, Diligence Tracker provides a centralized environment for managing requests, responses and supporting information.

AI can make due diligence faster, but its greatest value comes from improving how professionals interact with transaction information. When AI reduces searching, repetitive review and administrative work, deal teams can devote more attention to identifying risks, testing assumptions and making informed decisions.