How to Finance Acquisitions Without Giving Up Equity
M&A Science
How do you keep buying companies without eventually losing control of the company you built? SS&C Technologies founder and CEO Bill Stone has spent four decades avoiding exactly that. Rather than treating each acquisition as an isolated transaction, SS&C built a system around protecting ownership, using debt when the economics make sense, paying it down quickly, and creating enough value after close to preserve capacity for the next deal. Bill walks through the decisions behind acquisitions including FMC, GlobeOp, and Blue Prism, his experience taking SS&C private with...
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Where AI Actually Helps and Fails in M&A Legal Work
M&A Science
AI can now draft, review, and benchmark deal documents in a fraction of the time it used to take, but knowing when to trust the output is a different skill entirely. Aaron Binstock, a partner at Cooley with nearly 20 years of transactional experience, has seen both sides of that tradeoff firsthand. Where does AI actually save time on a deal, and where does it create false confidence? What happened when a client's AI-generated tax step chart was built on the wrong assumption? How does reverse prompting produce a better first draft than a single one-shot prompt? And what's changing about how...
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The Back-Office Surprises Nobody Warned You About When Going Global
M&A Science
Due diligence covers deal terms, but it doesn't cover what happens once you're running payroll, benefits, and banking in a country you've never operated in before. A legal entity change can lock a company out of its own bank account overnight. Benefits plans get frozen in by local law. A language rollout can hit five systems on the same go-live day. And having handled one acquisition in a country doesn't guarantee the next one plays out the same way. Jennifer Lipschultz has led integration on more than 20 acquisitions across the Netherlands, Sweden, Germany, and India for ECI Software...
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How to Structure an Acquihire Deal in the AI Talent Race
M&A Science
AI talent deals are no longer small acquihires built around a simple price per engineer. Some now carry billion-dollar price tags, forcing buyers to rethink deal structure, diligence, tax exposure, and retention. Baker McKenzie’s M&A Partner Derek Liu has personally signed over $110 billion in transactions from both sides of the table. That mismatch, old tools built for a different kind of deal, is what's forcing corp dev and legal teams to rework their playbook, and it's the throughline of this conversation. What You'll Learn The real cost difference between a stock purchase, an asset...
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What Buyers Want from Bankers and Founders
M&A Science
Your standard teaser tells a buyer everything about your company and nothing about why you fit their strategy right now. When sellers expect the buyer to figure out that alignment, the deal dies on the desk. Andrew Morbitzer has led more than $2 billion in acquisitions at Intuit and GoDaddy, worked on the sell-side as an M&A advisor, and returned to the buy-side as VP of Corporate Development at Life360. What You'll Learn Why do corp dev teams default to no on inbound deals before the first conversation How banker incentives and buyer incentives point in opposite directions How to...
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220 Deals. One Playbook. How to Scale M&A Without Losing Control
M&A Science
If you scale the deal flow without the operating infrastructure to match it, things break fast. The playbook is a document nobody opens, closing weeks turn into fire drills, and the returns you modeled start to slip. Shawn Rodricks, Head of M&A - Independent Consultant, built the infrastructure before the volume hit. He closed 220 acquisitions across two organizations, 37 at Rexall in pharmacy and 183 at Amerivet Veterinary Partners, by wiring in the operating system from the start. What You'll Learn The five-part operating model behind 220 acquisitions How to hire for biz dev vs. corp...
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How to Build a Deal Model That Beats PE on Price
M&A Science
Buyers who mistake a high LOI bid for a winning strategy are easy prey for sellers who know the growth equity playbook. Jeremy Segal's position: precision at the LOI stage is a stronger differentiator than price. Jeremy Segal is EVP of Corporate Development at Progress (NASDAQ: PRGS), a publicly traded software company that has nearly doubled revenue through M&A, from under $400 million to nearly $1 billion. He has closed roughly 50 acquisitions across his career at Progress, LogMeIn, and Akamai. How do you build a cost-optimization model before LOI for lines you know you can execute?...
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The People You Lose in M&A: Key Talent Retention Before Close
M&A Science
The people who leave post-close are usually the ones the deal depended on. Which means the problem starts with how you read culture before LOI and whether financial incentives are the only retention tool you are building with. Haseeb Jawad heads corporate development at Commvault, running a lean team with full accountability from sourcing through integration. He has led two to three acquisitions per year across multiple companies, sat on both sides of a transaction, and serves as his own IMO lead. The signals that tell you a deal will lose people are visible from the first founder...
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How to Buy Companies That Aren't Profitable Yet
M&A Science
Venture-backed companies are priced at their future state, not their current revenue. When growth stalls and another fundraising round stops making sense, the gap between VC valuation and what a strategic buyer will pay becomes the hardest conversation in any deal process. Matt Arsenault, VP of Corporate Development & Strategic Alliances at Jamf, has run this play across hundreds of targets. His work starts before the deal does, with the founder relationship, the cap table, and a clear-eyed conversation about risk tolerance that most corp dev teams never have. What You'll Learn ...
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When Deals Get Weird: Stories You Don't See in the CIM
M&A Science
, , , , , , , and Eight deal professionals share the M&A moments that never make the CIM. A birthday cake in a management presentation that confirmed a culture fit and influenced a bid. A buyer who died before close, forcing a nine-month restart from scratch. Eight years of customer revenue data on a 1980s IBM that management claimed did not exist. A target quietly heading toward Chapter 11 while diligence was underway. Unexpected events mid-deal are not exceptions. They are the deal. How you read them is what separates experienced practitioners from everyone else. What You'll Learn:...
info_outlineAaron Binstock, Partner, Co-Head of Private Equity Practice at Cooley LLP
AI can now draft, review, and benchmark deal documents in a fraction of the time it used to take, but knowing when to trust the output is a different skill entirely.
Aaron Binstock, a partner at Cooley with nearly 20 years of transactional experience, has seen both sides of that tradeoff firsthand.
Where does AI actually save time on a deal, and where does it create false confidence? What happened when a client's AI-generated tax step chart was built on the wrong assumption? How does reverse prompting produce a better first draft than a single one-shot prompt? And what's changing about how junior lawyers build judgment, and how firms bill for their time?
What You'll Learn
- Where AI reliably speeds up NDA markups versus bespoke merger agreements
- How reverse prompting turns a mediocre AI output into a usable first draft
- The tax step chart mistake that nearly cost a client millions in consideration or tax
- How cross-deal benchmarking pulls survival periods, caps, and baskets into one reference chart
- Why some clients and counterparties are opting out of AI entirely, and how firms track it
- What junior lawyer training looks like once document grinding stops teaching judgment
- Why AI can produce a report but still can't own the result
If you're dealing with AI tools that sound confident but don't actually know M&A, DealPilot, powered by M&A Science experiential data, has guidance built from practitioners who've actually run the deal to help you catch what AI can't see coming.
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The Buyer-Led M&A™ Summit is back
August 18th, free and virtual. We're releasing the State of AI in M&A 2026 report live at the event before it goes public. Benchmark your program, hear from practitioners across the industry, and leave with a clearer picture of where dealmaking is headed.
Register here: https://hubs.ly/Q04kBhzV0
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Episode Chapters
[00:00] Intro
[03:12] Aaron's Path Into M&A
[05:12] Cooley's Public AI Commitment
[07:22] Where AI Fits On A Deal
[11:37] Quality Control And AI Playbooks
[16:33] The Tax Step Chart Mistake
[18:41] How Reverse Prompting Works
[22:19] Benchmarking Past Deals With AI
[23:13] Lockbox Pricing And Prompt Quality
[25:33] When Clients Say No To AI
[33:06] AI's Impact On Legal Billing
[35:44] Training Lawyers In The AI Era
[42:20] Why AI Can't Own The Deal
[44:07] Craziest Moments In M&A Deals