The Announced Deal is the Worst Lead You'll Get All Year
Why M&A announcements are a misleading signal for anyone trying to originate contract work — and what actually predicts demand.
My first assignment out of law school was monitoring M&A deals.
I sat in front of a subscription tool that aggregated announced mergers, acquisitions, financings, and the rest. You could sort by deal size, by type, by buyer. You could set alerts. And the strategy my team ran on top of it was simple enough to explain in one sentence: a big deal gets announced, big deals mean lots of contracts to review, lots of contracts mean someone needs help, so we call them and win the work.
It sounds reasonable.
It’s also wrong in two structural ways that took me years to fully appreciate. If you’re building an origination motion for contract-review work today — whether you’re a vendor, a services firm, or a legal-ops team trying to staff ahead of demand — those two failures are worth as much as any feature comparison.
Failure one: by the time it’s news, the work is gone
The first thing that breaks is timing.
A deal that’s been announced is a deal that’s already been planned. The diligence scope is set. The advisors are picked. Often the contract-review approach — internal team, outside counsel, a vendor, some combination — was decided weeks or months before the press release went out. You are reading about a decision, not catching one in flight.
So the announcement, which feels like the start of an opportunity, is usually the end of one. The companies that show up in your alert feed are disproportionately the ones you can no longer help on this deal. The genuinely addressable work was upstream, in the quiet period when nobody outside the principals knew it was happening.
This is the part that impacts everything else. If announced deals are mostly too late, then reactive monitoring isn’t an origination strategy — it’s a lagging indicator dressed up as a lead source. The work that actually converts comes from being known before the deal exists: proactive relationships, so the company comes to you when the deal is still a secret. You can complement this — but not replace — with news monitoring.
Failure two: volume doesn’t mean need
The second failure is subtler and, I think, the more useful one, because it survives even if you fix the timing problem.
The whole premise — more deal volume means more contract work — assumes a correlation that just isn’t reliable. Deals are structured, and the structure determines whether contracts matter at all. A few examples that look similar in a volume column and behave nothing alike:
The acqui-hire. A handful of people command an enormous package — you can get to several hundred million, even half a billion, on a few names in the current AI talent market. It will light up any deal-size screen you build. The contract review attached to it is close to zero. Nobody’s reviewing a customer book; there barely is one. Huge number, no work.
The asset purchase. A buyer takes a discrete set of assets — say, a fleet of trucks. The assets are owned outright; there’s not much contractual tail to diligence on the buy side, and any related agreements may be getting retired or terminated as part of the structure anyway. So buy-side need is low. But flip it: the seller may have real work understanding how hard those contracts are to exit. The same deal generates demand on one side and almost none on the other, and a volume metric can’t see the difference.
Business-as-usual masquerading as nothing. Meanwhile, the company quietly enters into fifty thousand new agreements a year in the ordinary course of business. That’s a completely separate pool of potential work from anything M&A-driven — larger and steadier — and it never shows up in a deal feed at all, because it never gets announced.
Put those together and the lesson is uncomfortable for anyone who loves a clean dashboard: high deal volume is weakly correlated with contract-review demand, and the cases where it’s most wrong are often the flashy ones that dominate the news.
What actually predicts demand
None of this means prediction is hopeless. It means the naive screen is the floor, not the ceiling.
The floor — and I mean “naive” as a term of art, not an insult — is heuristic. Big, diversified companies with the cash flow or borrowing capacity to keep doing deals are likely serial transactors; their historical deal cadence tells you something. Working with physical goods helps: a business with a manufacturing or supply-chain footprint tends to carry more contractual surface area than a lighter software-first business, though large enough software companies blow that rule up with sheer customer and vendor count. Fortune 500, deal history, industry density — that’s a defensible level-one list, and it’s cheap to build.
The ceiling is where you stop treating those as the answer and start treating them as inputs. Layer in the things a screen can’t see: your relationship history, your own pipeline, deal-structure patterns, the buy-side/sell-side asymmetry above. Feed that into a model and you’re no longer asking “who’s big?” — you’re asking “who’s likely to transact in a way that actually generates contract work, and where are we well-positioned to win it?” That’s a prediction worth making.
One honest caveat, because it’s the thing most product pitches skip: the highest-value version of this is driven by your internal context — your relationships, your data, your read on structure. An outside-in tool can get you the level one list. It can’t replicate the part that makes the prediction good, which is the proprietary context only the firm doing the work has. Proceed accordingly and be wary of anyone selling you the ceiling as if it came in a box.
If you’re working on origination or capacity planning around contract work and any of this maps to (or contradicts) what you’re seeing, I’d love to discuss.