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Enhanced DealRoom AI Accelerates Diligence With Deal-Level Analysis

Supritha Shankar Rao
Senior Product & Growth Marketing Specialist
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Built based on customer feedback, dealmakers can now reduce the time-consuming process of manual diligence by analyzing contracts across an entire deal.

If you ask any corporate development leader what slows down M&A, you’ll hear the same answer: diligence takes too long.

Hundreds of contracts sit in virtual data rooms, waiting to be combed through line by line. Analysts and lawyers waste nights searching for hidden risks. 

Sellers lose patience. Buyers lose momentum. Deals stall.

And the costs? Teams either burn countless hours internally or bring in expensive outside counsel to scale the workload. Even then, risks slip through. A missed change-of-control clause or buried liability can sink a deal post-close.

This is the old way of doing diligence. Slow. Risky. Expensive.

We listened, and we built

At DealRoom, we’ve heard this feedback loud and clear. Since the original launch of DealRoom AI, our product and engineering teams have continued to learn more about the most inefficient elements of dealmaking — and how AI could help. What stood out above all: contract review is the single biggest bottleneck. That’s why we built this enhancement.

A new way forward: AI Analysis with Deal-Level Chat

DealRoom’s enhanced AI Analysis now lets dealmakers chat across all contracts in a deal, instantly surfacing risks, summarizing terms, and answering questions in plain language.

Instead of waiting weeks for reviews, teams can:

  1. Reduce Time-Consuming Work: Ask questions across 200+ contracts and get instant, verifiable answers.
  2. Spot Risks Early: Surface critical clauses and inconsistencies that could derail a deal.
  3. Control Costs: Scale diligence without adding headcount or relying on outside counsel.

Common Use Cases

1. Accelerate roll-ups with instant supplier checks

When buying multiple smaller companies, roll-ups often inherit hundreds of supplier contracts. With deal-level chat, you can ask, “Show me all supplier agreements with non-compete terms or minimum purchase obligations.” Instead of weeks of review, you get a clear list in minutes — so integration planning can start sooner.

2. Protect value in carve-outs by surfacing hidden clauses

Carve-outs bring complexity. You can now ask: “Which customer contracts include change-of-control obligations?” DealRoom AI will flag them across the entire deal set. This lets legal teams resolve risks before signing — preventing costly renegotiations post-close.

3. Give functional leads clarity before integration

Finance, HR, or operations leaders can jump in and ask: “Which contracts have early termination fees that affect recurring expenses?” or “Which employee agreements include retention bonuses?” Instead of relying on summaries from others, they get direct, verifiable answers that shape smoother integration plans.

Why it matters to buyers, legal teams, and functional leads

  • Corporate Development Teams: Every hour of manual review saved means more bandwidth to run parallel deals and less chance of critical risks slipping through the cracks
  • Legal Teams: Free up your most valuable legal resources from manual review — let AI flag clauses across all contracts so lawyers can focus on high-impact work.
  • Functional Leads (Finance, HR, Ops): Get visibility into risks that impact integration before they become post-close surprises.

Proof in action

In early customer use, AI Analysis cut review times by over 80%. Legal teams reported finding buried clauses that otherwise would have required days of manual search. Most importantly, deals kept momentum — no more waiting on backlogged reviews.

Ready to see it in action?

Don’t just take our word for it. Explore the interactive demo and see how AI Analysis can help you cut hours of review time, surface hidden risks, and keep your deals on track.

👉 Check the Demo.

  • 1. Higher valuation of companies with mature human-AI collaboration frameworks
  • 2. Increased focus on worker skill complementarity during integration
  • 3.Growing importance of ethical AI governance in acquisition targets
  • 4. New due diligence categories evaluating human-machine interaction quality

Contact M&A Science to learn more

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James Harris
Principal of Corporate Development Integration at Google
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