Which M&A platforms include AI?

A growing number of M&A platforms include artificial intelligence (AI), but the depth of those capabilities varies considerably. Some platforms use AI for individual tasks such as document search or redaction, while more advanced platforms integrate AI into preparation, buyer engagement, due diligence, Q&A and deal management.

For dealmakers, the more important question is not simply whether an M&A platform includes AI. It is where AI operates, what work it can perform and whether it is integrated securely into the transaction workflow.

The evolution toward purpose-built AI-powered deal platforms reflects a broader shift in M&A technology: AI is moving from a standalone productivity tool to an intelligence layer across the transaction lifecycle.

Look beyond the AI feature list

When evaluating M&A platforms, deal teams should focus on practical applications rather than the number of AI features advertised.

Document summarization can accelerate initial review. Intelligent search can help professionals locate information buried across large data rooms. Data extraction can transform information contained in documents into structured insights, while conversational AI can allow users to ask questions about transaction materials using natural language.

AI can also improve repetitive workflows such as document categorization and buyer Q&A. In due diligence, for example, AI can help aggregate duplicate questions and assist teams with suggested responses, reducing administrative work while keeping professionals responsible for review and approval. Intralinks provides additional guidance on how AI can accelerate due diligence.

Evaluate how AI handles confidential deal information

M&A presents a challenge that differentiates deal technology from many other AI use cases: the information being analyzed is highly confidential.

Uploading sensitive transaction documents into separate AI applications can create additional information-handling considerations. Deal teams should therefore understand where information is processed, whether existing permissions are respected and whether AI-generated answers can be traced back to source documents.

This makes governance as important as functionality. AI should operate according to the same access controls governing the underlying transaction data. Users should not gain information through an AI interface that they would not otherwise have permission to view.

Intralinks' 2026 research into AI in M&A dealmaking highlights the growing importance of governance as organizations embed AI more deeply into transaction workflows.

Consider AI across the transaction lifecycle

The value of AI can extend well beyond diligence.

During preparation, AI can help organize documents and identify issues before a data room launches. During marketing, technology can support buyer outreach and engagement. During diligence, AI can accelerate document analysis, information discovery and Q&A. Deal management can then connect activity across transactions to create greater institutional intelligence.

The strategic opportunity is to connect these capabilities rather than deploying separate AI tools at each stage. When workflows, data and intelligence remain connected, organizations can build repeatable processes across multiple transactions.

DealCentre AI brings AI directly into M&A

SS&C Intralinks DealCentre AI™ applies AI across preparation, marketing, diligence and deal management. The platform is powered by Link, Intralinks' proprietary AI engine for strategic financial transactions.

Link can generate document summaries, pinpoint and structure critical information and support traditionally manual deal workflows. Ask Link provides conversational AI, allowing users to ask questions about deal documents and receive responses with source references while respecting existing document permissions.

DealCentre Connect expands this model by enabling external AI applications to work with DealCentre information while maintaining data room permissions, governance and auditability.

For dealmakers comparing M&A platforms with AI, the distinction is increasingly about integration. AI creates greater value when it operates securely inside the workflows, information and institutional knowledge that drive the transaction.