AI in the Boardroom: How Legal Tech Rewrites the M&A Playbook

CHICAGO, IL – June 22, 2026 – In the high-stakes world of corporate mergers and acquisitions, speed is currency. The ability to assess risk, identify opportunity, and close a deal ahead of competitors can define a company's future. For decades, the due diligence process—a meticulous, often manual review of thousands of contracts—has been the M&A world's necessary bottleneck. A recent case, however, highlights a profound shift, where artificial intelligence is not just unclogging that bottleneck but transforming the very role of the legal teams that manage it.

Events technology giant Cvent recently navigated a significant, time-sensitive acquisition by leveraging Litera's AI-powered contract intelligence platform, Kira. The results were striking: Cvent's legal team reviewed 360 contracts in minutes, a task that would have traditionally consumed weeks of painstaking human effort. This feat of efficiency is more than just a compelling statistic; it's a window into the new intersection of law, technology, and corporate strategy, where AI is empowering legal departments to move from the back room to the deal table.

The New Speed of Business: AI in the M&A Fast Lane

The core promise of AI in the legal field has long been efficiency, and in the context of M&A, the impact is revolutionary. Industry benchmarks suggest AI-powered review can be up to 85% faster than traditional manual methods. For Cvent, a company that has been on an aggressive acquisition spree since 2024, acquiring companies like Goldcast and ON24, this acceleration is a critical competitive advantage. In a fast-moving market, the ability to conduct thorough diligence on compressed timelines can be the deciding factor in a successful transaction.

“I would describe Kira’s value to our business in three words: time to value,” said Myah Bowermaster, Head of Legal Operations at Cvent, in a statement. “Making strategic decisions at the right time with the right insights can change a lot of things. We would not have been able to successfully navigate what was one of our most significant deals to date in the timeline required without it.”

This sentiment reflects a broader industry reality. As deal cycles shorten and data volumes explode, the sheer scale of contract review in a major acquisition is daunting. AI platforms ingest and analyze thousands of documents, flagging non-standard clauses, identifying potential liabilities, and extracting key data points with a speed and consistency that humans cannot match. What was once a reactive, defensive process of manually searching for red flags has become a proactive, data-driven exercise in strategic assessment.

From Gatekeepers to Strategists: Legal's Evolving Role

The most profound impact of tools like Kira is not the replacement of lawyers, but the elevation of their work. By automating the laborious, time-intensive aspects of document review, AI is liberating legal professionals to focus on what they do best: applying judgment, providing strategic counsel, and solving complex problems. Cvent’s experience illustrates this pivot perfectly.

By embedding the AI tool into their workflow, the company's legal team was able to move beyond simply checking boxes. They transitioned from being reactive reviewers to strategic contributors, delivering real-time insights that informed deal considerations, risk assessment, and post-merger integration planning. This shift is echoed across the industry, where legal tech experts note that junior lawyers are no longer spending their formative years on first-pass document review. Instead, they are tasked with validating AI outputs and engaging in higher-value analysis, accelerating their development and contribution.

“In-house legal teams are being asked to move faster and take on more complexity,” noted Ashley Miller, Vice President of Sales for North America at Litera. “What Cvent's team accomplished with Kira is what purpose-built contract intelligence should do: turn high contract volume from a bottleneck into a source of strategic insight and make legal a trusted partner at the deal table.” This repositioning of the legal department as a core driver of business value, rather than a cost center or a compliance hurdle, is perhaps the most significant long-term consequence of AI's integration into corporate law.

The Trust Algorithm: Why Expertise-Backed AI is Non-Negotiable

As AI tools become more accessible, a critical distinction is emerging between general-purpose AI and specialized, purpose-built platforms. In the high-stakes legal environment of M&A, where a single missed clause can lead to millions in liability, the 'probabilistic' answers of a general AI model present far too much risk. The market is demanding what some analysts call 'fiduciary-grade AI'—systems built on a foundation of deep domain expertise and verifiable accuracy.

This is where Litera emphasizes its competitive edge, highlighting that its Kira platform has been trained on the equivalent of 45,000 lawyer hours and is built upon 30 years of legal technology expertise. The goal is to deliver 'deterministic accuracy,' where the system's ability to identify and extract specific provisions is reliable and consistent. This focus on trust and reliability is a key trend in the maturing legal tech market. Competitors like Thomson Reuters, with its CoCounsel Legal platform, and Luminance are also building their value propositions around AI systems trained on vast, curated legal datasets, promising a level of precision that general models can't guarantee.

The Cvent case demonstrates that for mission-critical tasks, the 'black box' of an AI is only as valuable as the expertise and data used to build it. Trust is the ultimate currency, and in the M&A world, that trust must be earned through proven reliability and demonstrable accuracy. As businesses increasingly rely on AI to inform multi-billion-dollar decisions, the demand for transparent, specialized, and expertly trained systems will only intensify, separating the truly transformative tools from the technological novelties.