Global M&A reached $2.8 trillion across 19,110 transactions in the first half of 2026. But the headline number only tells half the story.
Beneath the surface, dealmaking is consolidating around scale. Megadeals exceeding $1 billion now capture 67.9% of total M&A value, up from 48.3% at the height of activity in 2021. Strategic acquirers, not financial sponsors, are steering the market, deploying $2.1 trillion, or 75% of all M&A capital invested, to extend AI capabilities and lock in competitive position.
Capital is flowing simultaneously into asset-heavy infrastructure (datacenters, energy, grid capacity) and asset-light targets (software, AI capabilities, cybersecurity), each commanding roughly a third of global M&A value. The result is a market that asks legal teams to move at the pace of the deal on both sides of the ledger — and to prove afterward that nothing slipped while they did.
In financial services, that second demand carries the most weight. The credit agreements, ISDAs, and diligence sets behind a bank or insurer's acquisition move through the same compressed timelines as everyone else's, but under supervisory record-keeping obligations, and with material non-public information in play from the first draft. Federal regulation is loosening while state-level fragmentation and AI-enabled financial crime push compliance complexity up anyway — and FINRA has signaled where it is looking: AI making decisions with no one supervising them.
Every one of these transactions rests on contracts. As deals grow larger, more complex, and more frequent, the documentary burden expands in lockstep, and the amendment cycles that follow every change in terms compound the pressure. For a regulated acquirer, each of those cycles is also a record someone may later ask to see. This is exactly the work where general-purpose AI creates exposure faster than it creates capacity — and where accuracy has to be engineered into the workflow rather than checked back in afterward.
In This Report, You Will Learn
In a market moving at this velocity, speed is only worth having if the record behind it holds.
Beneath the surface, dealmaking is consolidating around scale. Megadeals exceeding $1 billion now capture 67.9% of total M&A value, up from 48.3% at the height of activity in 2021. Strategic acquirers, not financial sponsors, are steering the market, deploying $2.1 trillion, or 75% of all M&A capital invested, to extend AI capabilities and lock in competitive position.
Capital is flowing simultaneously into asset-heavy infrastructure (datacenters, energy, grid capacity) and asset-light targets (software, AI capabilities, cybersecurity), each commanding roughly a third of global M&A value. The result is a market that asks legal teams to move at the pace of the deal on both sides of the ledger — and to prove afterward that nothing slipped while they did.
In financial services, that second demand carries the most weight. The credit agreements, ISDAs, and diligence sets behind a bank or insurer's acquisition move through the same compressed timelines as everyone else's, but under supervisory record-keeping obligations, and with material non-public information in play from the first draft. Federal regulation is loosening while state-level fragmentation and AI-enabled financial crime push compliance complexity up anyway — and FINRA has signaled where it is looking: AI making decisions with no one supervising them.
Every one of these transactions rests on contracts. As deals grow larger, more complex, and more frequent, the documentary burden expands in lockstep, and the amendment cycles that follow every change in terms compound the pressure. For a regulated acquirer, each of those cycles is also a record someone may later ask to see. This is exactly the work where general-purpose AI creates exposure faster than it creates capacity — and where accuracy has to be engineered into the workflow rather than checked back in afterward.
In This Report, You Will Learn
- How megadeals are reshaping the global M&A landscape and concentrating capital among fewer, larger players
- Why strategic, AI-driven acquisitions dominate both asset-heavy and asset-light deal activity
- What falling M&A multiples signal about the shift toward a buyer's market
- Why rising deal volume and complexity make the choice general-purpose or legal-specific — and why only auditable, legal-specific AI holds up on high-stakes transactional work
In a market moving at this velocity, speed is only worth having if the record behind it holds.
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Jessica Davis
Director, Matter Performance & Service Innovation, McCarter & English LLP
Director, Matter Performance & Service Innovation, McCarter & English LLP
Jessica Davis
Director, Matter Performance & Service Innovation, McCarter & English LLP
Director, Matter Performance & Service Innovation, McCarter & English LLP
Jessica Davis
Director, Matter Performance & Service Innovation, McCarter & English LLP
Director, Matter Performance & Service Innovation, McCarter & English LLP
Jessica Davis
Director, Matter Performance & Service Innovation, McCarter & English LLP
Director, Matter Performance & Service Innovation, McCarter & English LLP
Jessica Davis
Director, Matter Performance & Service Innovation, McCarter & English LLP
Director, Matter Performance & Service Innovation, McCarter & English LLP
Jessica Davis
Director, Matter Performance & Service Innovation, McCarter & English LLP
Director, Matter Performance & Service Innovation, McCarter & English LLP
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Litera brings the whole practice of law together on one connected platform, with specialist tools available for the complex work that transactional work requires. Your firm can start with the workflow that matters most today, then add more as your needs grow. It all runs where your lawyers already work, in Microsoft Word, Outlook, the web, Google Workspace, and on iOS.

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