General Counsel
M&A and Transaction Support
What You Do Today
Support mergers, acquisitions, and divestitures — due diligence, deal structuring, regulatory approvals, integration planning. Coordinate the legal workstream across complex transactions.
AI That Applies
AI-powered due diligence that reviews data rooms at speed — extracting key terms from thousands of contracts, flagging change-of-control provisions, and identifying hidden liabilities.
Technologies
How It Works
The system ingests data rooms at speed — extracting key terms from thousands of contracts as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Data room review collapses from weeks to days. AI extracts material terms, finds non-standard provisions, and builds risk matrices across entire contract portfolios.
What Stays
Deal judgment. Structuring a transaction to minimize risk, negotiating representations and warranties, and advising on whether a deal should happen at all.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for m&a and transaction support, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long m&a and transaction support takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your general counsel or managing partner
“What data do we already have that could improve how we handle m&a and transaction support?”
They set the firm's AI adoption posture
your legal technology manager
“Who on our team has the deepest experience with m&a and transaction support, and what tools are they already using?”
They manage the tools and can show you capabilities you don't know exist
a client who's adopted AI in their legal department
“If we brought in AI tools for m&a and transaction support, what would we measure before and after to know it actually helped?”
Their expectations for outside counsel are shifting
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.