Mergers and acquisitions (M&A) transactions are characterized by the need to analyze large volumes of information within increasingly tight timeframes. In this context, the due diligence phase is one of the most critical components of the process, as it enables the identification of contingencies, the validation of business assumptions, and the proper allocation of transaction risks. Traditionally, this process has required extensive document review sessions conducted by multidisciplinary teams comprising lawyers, financial advisors, tax specialists, and operational consultants.
I- AI as an Everyday Tool in M&A
However, the evolution of artificial intelligence (AI) is significantly transforming the practice of due diligence and establishing itself as an everyday tool in M&A practice.
According to Deloitte’s 2025 GenAI in M&A Study, 86% of the organizations surveyed have already integrated generative AI tools into their M&A workflows, and 65% did so within the last year, indicating a significant acceleration in its adoption.
II- Key Capabilities: Document Analysis and NLP
One of the main benefits observed in practice is AI’s ability to simultaneously analyze large amounts of structured and unstructured information. Using natural language processing (NLP) technologies, systems can review contracts, identify change-of-control clauses, transfer restrictions, indemnification obligations, potential litigation, and other aspects relevant to a transaction, significantly reducing the time spent on document review.
Furthermore, AI is playing a significant role even before the formal start of a transaction. According to Bain & Company, these tools are used for target screening, due diligence, strategic market assessment, and preliminary analysis of investment opportunities, enabling buyers and investors to identify and prioritize targets with the greatest potential for value creation.
III. Specialized platforms for legal processes
Technological advancements have also led to the emergence of specialized platforms for corporate and legal operations, including M&A processes. Among the most widely used tools are Harvey AI, LegalFly, and Claude for Legal, which automate tasks such as document review, contract analysis, legal research, extraction of critical clauses, and generation of specialized summaries. Likewise, tools such as Harvey Vault facilitate the analysis of document repositories and the management of virtual data rooms, significantly optimizing due diligence processes and reducing review times.
IV- Challenges in AI Adoption
However, the growing adoption of artificial intelligence in M&A is not without challenges. The same Deloitte study identifies data security as the top concern for 67% of surveyed organizations, followed by data quality (65%), model reliability (64%), ethical considerations (62%), and regulatory compliance (61%).
V- The human factor remains decisive
While AI can significantly accelerate document review, identify patterns, and detect potential risks, the preparation of a due diligence report continues to require the oversight of specialized attorneys capable of assessing the materiality of findings, interpreting their legal implications, and determining their actual impact on the transaction.
VI- The differentiating factor: prepared legal teams
As AI tools are integrated into M&A processes, the differentiating factor will no longer be solely access to technology, but the ability of legal teams to use it strategically. The development of internal methodologies, the design of effective prompts, the use of standardized playbooks, and the ongoing training of lawyers will be key factors in turning technological efficiency into a real competitive advantage within corporate transactions.
VII. Conclusion: Technology Plus Strategy
AI is redefining how due diligence processes are conducted and investment opportunities are analyzed within M&A transactions. However, the true value of these tools will depend on the ability of law firms and corporate teams to strategically integrate them into their internal processes. In an increasingly competitive transactional environment, firms that invest in preparing their teams to use these technologies will be better positioned to optimize turnaround times, strengthen decision-making, and offer strategic and sophisticated advice to their clients.