How AI is changing due diligence and the M&A deal lifecycle

Artificial intelligence is changing mergers and acquisitions (M&A) by reshaping how deal teams interact with information. The shift is particularly visible in due diligence, where professionals traditionally spend significant time organizing documents, searching for information and coordinating questions across multiple stakeholders.

But the impact of AI is becoming much broader. Rather than functioning as a standalone productivity tool, AI is increasingly becoming part of the infrastructure supporting the entire transaction lifecycle. For dealmakers, the opportunity is not simply to complete individual tasks faster. It is to create a more connected, intelligent approach to executing transactions.

Due diligence is becoming information-driven

Traditional due diligence often revolves around navigating folders, reviewing documents and manually searching for relevant information. AI introduces a different model: instead of simply locating documents, dealmakers can interrogate the information contained within them.

AI can summarize lengthy documents, extract important data and help professionals identify information that warrants further investigation. The result is a shift from document discovery toward information discovery.

This does not eliminate the need for human expertise. Rather, AI can reduce the administrative burden surrounding diligence so professionals can devote more attention to interpreting findings, assessing risk and applying transaction experience.

AI is moving earlier in the transaction

Some of AI's greatest potential occurs before the virtual data room formally opens for diligence.

During deal preparation, AI can help teams review and organize documents, identify potentially sensitive information and detect files that may require attention before they are shared. Earlier analysis can help teams enter diligence with a better-organized information environment.

AI can also support marketing and buyer engagement as transactions progress. This creates the foundation for a more connected lifecycle where intelligence follows the transaction instead of being introduced only after diligence begins.

Deal teams can ask questions, not just search

One of the most significant changes is the emergence of conversational interfaces for transaction information.

Rather than relying exclusively on filenames, folders and keywords, deal professionals can increasingly ask natural-language questions about deal materials. For example, a user might ask about specific contractual provisions or other information distributed across a large document set.

For M&A, however, speed alone is insufficient. AI-generated answers should be traceable to source material so professionals can validate important findings. Permission-aware access is equally important when different stakeholders have different rights to transaction information.

The next opportunity is connected deal intelligence

The long-term value of AI extends beyond analyzing a single transaction.

When deal activity, workflows and historical information remain connected, organizations can begin developing institutional intelligence. Previous transactions can provide context that helps teams understand patterns, improve processes and approach future deals with greater insight.

This makes platform strategy increasingly important. Fragmented applications may improve isolated tasks, but disconnected workflows can prevent organizations from capturing the broader value of their transaction history.

The future of M&A technology is therefore likely to be defined not simply by who has AI, but by how effectively that intelligence connects information across the deal lifecycle.

DealCentre AI brings AI into the workflow

SS&C Intralinks DealCentre AI is designed around this connected approach. Rather than adding AI to a traditional virtual data room, the platform brings preparation, marketing, diligence and deal management into a single environment.

At its core is Link, Intralinks' purpose-built AI engine for dealmaking. Link can summarize documents, pinpoint critical information and streamline traditionally manual workflows. Ask Link provides a conversational interface that lets users ask questions about deal content and receive source-backed answers.

For due diligence, this means AI can operate alongside document management, collaboration and Q&A instead of functioning as a separate tool.

AI is becoming part of the dealmaking infrastructure

As adoption increases, successful AI strategies will require more than access to powerful models. Dealmakers must consider security, permissions, governance, traceability and how AI integrates with established workflows.

The organizations that capture the greatest value will be those that treat AI as part of their dealmaking infrastructure rather than another disconnected application.

That is ultimately where M&A is heading: toward environments where secure collaboration, workflow automation and intelligent analysis operate together. Intralinks' broader AI approach reflects that evolution, helping move AI from an individual productivity tool toward an integrated component of modern deal execution.