Contract review often slows down because the reviewer has the document but not the business context. AI can help extract terms and flag risk, but the workflow still needs a structured intake checklist so legal knows why the contract matters and what decision is needed.
This template is designed for intake and review support. It should not replace attorney judgment. Use it to organize documents, summarize terms, identify missing context, and route risky language to the right human owner.
What This Workflow Should Do
- Collect the right business context before contract review begins
- Extract key terms into a review-ready summary
- Flag clauses that need legal, finance, security, or executive review
- Create a consistent review queue instead of ad hoc email forwarding
- Preserve audit trails and human approval on risky terms
Why Contract Review Needs an Intake Layer
Contract AI works best when the review starts with structured intake. The system should know the agreement type, counterparty, deadline, business owner, fallback terms, and review goal before it summarizes risk. That keeps AI from producing a generic contract summary that legal still has to reinterpret.
- Sales agreement: confirm deal value, customer, nonstandard terms, renewal language, and requested signature date.
- Vendor agreement: capture department owner, spend level, data access, termination rights, and security review need.
- NDA: identify mutual or one-way terms, confidentiality period, permitted disclosures, and unusual restrictions.
- Renewal or amendment: compare to the prior agreement and highlight changed terms.
- High-risk clause: route indemnity, liability, exclusivity, auto-renewal, and data-processing language for human review.
Tools You Can Use to Build This
The template is tool-agnostic, but a working intake automation usually needs four layers: capture, AI processing, workflow automation, and CRM/task handoff.
Contract and CLM systems
Contract lifecycle management, review routing, version tracking, and audit trails.
Legal intake, contract workflows, approvals, and contract data management.
Contract repository, search, contract analytics, and legal operations workflows.
AI review and extraction
Structured term extraction, risk summaries, clause classification, and review notes.
Long contract context, comparison summaries, and nuanced review memos.
Legal drafting and contract-review assistance inside legal workflows.
Document storage and automation
Shared contract folders, permissioned files, and lightweight document intake.
Enterprise document libraries, permissions, and Microsoft 365 workflows.
Triggering review tasks, Slack/email alerts, and CRM updates from new files.
Workflow Map
Collect contract and context
Business owner or intake form
Tools for this step
Automation: Capture agreement type, counterparty, deal value, requested deadline, business owner, file version, and review goal.
Human review: Legal operations or the contract owner confirms that the file and context are complete before review starts.
Extract key terms
AI document extraction layer
Tools for this step
Automation: Extract parties, dates, term length, renewal language, payment obligations, liability caps, termination rights, governing law, data/security obligations, and signature status.
Human review: Reviewer checks extracted fields against the source document before relying on them.
Flag review issues
AI review assistant
Tools for this step
Automation: Compare extracted language to approved fallback positions and flag missing, unusual, or high-risk terms.
Human review: Legal reviews any flagged clause before edits, negotiations, or approvals are sent externally.
Route approvals
Workflow automation or CLM
Tools for this step
Automation: Route finance, security, executive, or legal approval based on deal value, data access, liability, renewal, exclusivity, or nonstandard language.
Human review: Approval owners confirm their decision and notes in the system of record.
Summarize and store
Contract repository
Tools for this step
Automation: Create a final review memo, attach source files, store extracted terms, record approval status, and set renewal or obligation reminders.
Human review: Contract owner confirms final status, repository location, and next action before signature or filing.
Required Intake Fields
| Field | Why it matters |
|---|---|
| Agreement type | Determines the clause playbook and approval path. |
| Counterparty | Needed for naming, search, risk review, and duplicate detection. |
| Business owner | Creates accountability for business context and final decisions. |
| Review deadline | Helps prioritize urgent contracts and stalled deals. |
| Deal or spend value | Triggers finance or executive review thresholds. |
| Data or security impact | Routes agreements that involve customer, employee, or confidential data. |
| Current document version | Prevents review on stale drafts. |
| Requested decision | Clarifies whether the reviewer should approve, redline, summarize, or escalate. |
Qualification and Routing Rules
| Rule | Action |
|---|---|
| Nonstandard liability, indemnity, exclusivity, or auto-renewal language | Flag for legal review and do not auto-approve. |
| Agreement involves sensitive data or system access | Route to security/privacy review before signature. |
| Contract value exceeds approval threshold | Route to finance or executive approver. |
| Missing business owner, deadline, or agreement type | Pause review and request missing intake details. |
| Renewal, amendment, or redline | Compare against the prior version before summarizing risk. |
Prompt Blocks
Contract intake summary prompt
Summarize this contract for internal review. Include agreement type, parties, business owner, requested decision, deadline, key dates, payment terms, renewal language, liability/indemnity, termination rights, data obligations, and missing context. Do not provide legal advice.
Risk flag prompt
Identify clauses that may require human review based on the approved playbook. Return the clause name, source language summary, risk reason, and recommended reviewer. Do not mark any issue as approved.
Missing context prompt
List the minimum business context needed before review can continue. Write concise questions for the business owner and separate document issues from business-decision issues.
CRM Field Map
| CRM field | Suggested values |
|---|---|
| Agreement type | NDA, MSA, SOW, vendor, customer, renewal, amendment, other |
| Review status | New, missing info, AI extracted, legal review, cross-functional review, approved, sent, signed |
| Risk level | Low, medium, high, unknown |
| Approvers needed | Legal, finance, security, executive, business owner |
| Key dates | Effective date, renewal date, termination notice date, signature deadline |
| Repository link | Source folder, final PDF, redline, transcript, review memo |
Human Handoff Checklist
- Latest contract file is attached.
- Business owner and review goal are clear.
- Key terms were extracted and checked.
- Risk flags are routed to the right reviewer.
- Approval notes are recorded in the system of record.
- Final contract and review memo are stored together.
- Renewal or obligation reminders are created.
Common Failure Modes
| Risk | Prevention |
|---|---|
| AI misses a risky clause | Use clause-specific prompts, playbook comparisons, and mandatory legal review for flagged categories. |
| Review happens on the wrong version | Require version/source metadata and lock the reviewed file before approval. |
| AI gives legal advice | Restrict output to extraction, summaries, and review routing; require human legal judgment. |
| Approvals are not auditable | Store reviewer, timestamp, decision, and source document in a CLM or repository. |
Frequently Asked Questions
- AI should not approve risky contracts on its own. It can extract terms, flag issues, draft summaries, and route approvals, while humans handle legal and business decisions.
- The checklist works well for NDAs, sales agreements, vendor agreements, SOWs, amendments, and renewals where the team needs consistent intake before review.
- Most teams connect a form or inbox, shared document storage, a CLM or legal queue, an AI extraction layer, and an automation tool for notifications and approvals.