How can AI securely access deal documents?

Artificial intelligence (AI) can help deal teams analyze documents faster, extract important information and answer questions across large volumes of transaction material. But for M&A professionals, giving AI access to confidential documents introduces an important question: how can that access occur without weakening the security controls already protecting the deal?

The answer should not be to create a separate information environment for AI. Sensitive financial statements, contracts, intellectual property and other transaction documents should remain governed by the same permissions and oversight that apply to human users.

Secure AI access therefore requires an architecture that connects intelligence to deal data while preserving permissions, minimizing unnecessary data movement and creating visibility into how AI interacts with confidential information.

Extend deal permissions to AI access

The first principle is straightforward: AI should never provide a user with information that person is not authorized to access.

Traditional virtual data rooms establish permissions around users, groups, folders and individual documents. As AI becomes part of diligence, those controls need to extend to AI-generated searches, summaries and answers.

For example, if one buyer group can view a document while another cannot, an AI assistant should maintain that separation. Otherwise, AI could unintentionally become a pathway around carefully designed information barriers.

Source traceability adds another safeguard. AI-generated answers should direct professionals back to the underlying documents so they can verify important findings rather than treating generated responses as authoritative conclusions.

These capabilities should be part of a broader secure deal management platform where document access, AI interactions and transaction workflows operate under a consistent governance model.

Bring AI to the documents instead of exporting them

Data movement creates another security consideration.

A common AI workflow involves downloading confidential documents from a deal platform, uploading them into another application and then conducting analysis. This can create additional copies of sensitive files, break the connection with existing permissions and make it harder to maintain a complete audit trail.

A different architecture brings AI to the information.

Model Context Protocol (MCP), APIs and other secure connectivity technologies can allow approved AI applications to interact with live transaction data without requiring users to repeatedly export and re-upload documents.

For dealmakers, MCP for M&A provides a framework for this approach. The underlying transaction platform can remain responsible for document storage, permissions and governance while compatible AI applications request access to authorized information.

This model also gives organizations greater flexibility. Different AI applications may be appropriate for legal analysis, financial research or diligence, but they can operate against a consistent security layer instead of requiring separate document repositories.

Connect AI securely with DealCentre Connect

SS&C Intralinks DealCentre Connect extends secure AI connectivity through the DealCentre Connect Secure Gateway and DealCentre MCP.

DealCentre MCP is a remote MCP server built into DealCentre that enables compatible third-party AI applications to work with live deal-room content. Instead of requiring deal professionals to export confidential documents, AI tools can search and analyze authorized information through the connection.

Every request is validated against the user's existing DealCentre permissions before information is returned. Intralinks states that the architecture maintains buyer-group isolation, role-based groups and confidential Q&A boundaries. AI interactions are also logged, including the user, application, timestamp and action, creating an audit trail alongside human activity.

DealCentre AI™ provides another layer through Link, Intralinks' purpose-built AI engine. Ask Link allows authorized users to ask natural-language questions across applicable documents and receive answers with references to source materials. Its responses are limited to documents the user currently has permission to view.

Secure AI access to deal documents should ultimately preserve the controls already protecting the transaction. By combining permission-aware intelligence, source traceability, controlled connectivity and auditability, organizations can expand how they use AI without creating an unmanaged pathway to their most confidential deal information.