MANUAL
time required
∼40 min
per contract
AI
time required
∼ 5 min
per contract
AI workflow: Contract analysis, clause extraction—faster identification of risks and deal blockers
Introduction
Customer and supply contracts are DD gold—and DD hell: change of control, termination rights, exclusivity, SLAs/penalties, terms. Manually, this is bulk reading: tedious, repetitive, error-prone.
use case
DEALPOINT created:
- Contract type recognition(customer/supplier/partner/lease/financing, etc.)
- Clause extractionaccording to checklist (e.g., change of control, assignment, termination, auto-renewal, liability caps, governing law)
- Risk labeling(e.g., "termination upon change of control," "high minimum purchase")
- Outlier detectionagainst standard templates or "market standards" in the deal context
- Exportas table (Excel) + short memo (DOCX/PDF) including citations/references
Why DEALPOINT DMS works better
- No media breaks:Contracts are already in the data room; AI works directly on them—no copy/paste into external tools.
- Quotes are native:every extraction is verifiable and auditable (document/page/paragraph).
- Reusability:Clause table becomes a "living artifact" for red flag memos, buyer questions, SPA negotiations.
- Teamwork:External legal partners can access specific clause outputs instead of having to read everything.
procedure
- Mark contract folder / Select DD checklist
- DEALPOINT extracts defined clauses + risk warnings
- Reviewer checks critical outliers, adds labels (severity/action)
- Export to Excel/Memo, use in DD report and negotiation preparation
time saving
- Manual: 15–40 minutes per contract (depending on length/complexity)
- With DEALPOINT: 4–10 min review per contract
Savings: 11–30 min per contract
For 150 contracts: ~27–75 hours