Contract Review Assistant Blueprint

A complete architecture for an AI-powered contract review tool — upload portal, clause-extraction prompt chain, risk scoring API, summary generation, and an admin dashboard for legal ops. 15 nodes, ready to export to Cursor or Claude Code.

What this app does

A contract review assistant automates the first pass of legal contract review. Legal teams upload contracts (PDF, DOCX, or text). The AI extracts key clauses — termination, liability, payment terms, IP ownership, confidentiality — scores each for risk, generates a plain-English summary, and flags anything that needs human attention. A legal ops admin reviews the AI's analysis before anything is acted upon.

This blueprint maps out 15 nodes across frontend pages, backend APIs, AI prompts, databases, and human checkpoints. It's designed for an internal legal ops team processing 20-100 contracts per week.

Architecture diagram

Node breakdown

Frontend pages

• Upload Portal — drag-and-drop interface for uploading contracts (PDF, DOCX, TXT). Shows upload progress, parsing status, and initial AI analysis queue. Supports batch uploads with metadata tagging (counterparty, contract type, value).
• Review Dashboard — list view of all contracts in the review pipeline. Shows contract name, counterparty, risk score (color-coded: green/amber/red), extraction status, and review stage. Filters by risk level, status, and date.
• Contract Detail — full analysis view: extracted clauses with risk scores side-by-side with the original contract text, AI-generated summary, flagged clauses needing attention, and reviewer notes. Includes approve/reject/request-revision actions.
• Admin Panel — manage team members and roles, configure risk thresholds (e.g. auto-flag any clause with risk score above 0.7), view audit logs, and export review reports.

Backend APIs

• Contracts API — POST /api/contracts/upload (upload + parse), GET /api/contracts (list with risk scores), GET /api/contracts/:id (full detail with clauses).
• Clauses API — GET /api/contracts/:id/clauses (all extracted clauses), PATCH /api/clauses/:id (update reviewer notes or risk override).
• Risk Scoring API — GET /api/contracts/:id/risk (overall risk score + per-clause breakdown), POST /api/risk/recalculate (re-score after edits).

AI prompts (prompt chain)

• Clause Extraction — input: full contract text; task: identify and extract key clauses (termination, liability, payment, IP, confidentiality, indemnification, force majeure); output: structured list of clauses with their text and clause type. This is a prompt chain — the AI processes the contract section by section.
• Risk Assessment — input: individual clause text + clause type + standard clause template; task: compare against standard terms and identify unusual or unfavorable provisions; output: risk score (0-1), risk level (low/medium/high), and explanation of what's unusual.
• Summary Generator — input: all extracted clauses with risk scores; task: generate a plain-English executive summary of the contract's key terms and risks; output: 3-5 paragraph summary covering parties, key obligations, notable risks, and recommended actions.

Human checkpoints

• Review Checkpoint — after the AI extracts clauses and scores risk, a legal team member reviews the analysis in the Contract Detail page. They can override risk scores, add notes, and flag clauses for deeper review. No risk score is finalized until a human reviews it.
• Approval Gate — before the contract summary and risk assessment are shared with stakeholders or added to the official record, an admin approves the review. This ensures the AI's analysis has been validated by a qualified legal professional.

Databases & services

• Contracts DB (PostgreSQL) — tables: contracts (id, filename, counterparty, type, value, status, uploaded_by, created_at), clauses (id, contract_id, clause_type, text, risk_score, risk_level, reviewer_notes, reviewed_by, reviewed_at), summaries (id, contract_id, summary_text, recommended_actions, created_at).
• Users DB — users (id, email, name, role, bar_number, created_at), roles: uploader, reviewer, admin.
• Audit Log — audit_entries (id, user_id, action, contract_id, clause_id, old_value, new_value, timestamp). Tracks every change to risk scores, reviewer notes, and approval status for compliance.

How it works end-to-end

1. A team member uploads a contract via the Upload Portal with metadata (counterparty, type, value)
2. The Contracts API parses the document and stores it in the Contracts DB
3. The Clause Extraction AI prompt chain processes the contract, identifying and extracting key clauses
4. Each extracted clause is sent to the Risk Assessment AI prompt, which compares it against standard terms and assigns a risk score
5. The Summary Generator AI prompt creates an executive summary from all clauses and risk scores
6. The contract enters the Review Checkpoint — a legal team member opens the Contract Detail page, reviews each clause's risk score, adds notes, and overrides scores if needed
7. Once the review is complete, the contract goes to the Approval Gate — an admin approves the review for stakeholder distribution
8. All actions (uploads, risk overrides, approvals) are logged in the Audit Log for compliance
9. The Review Dashboard shows the contract's progress through this pipeline in real time

The prompt chain is what makes this architecture work. Clause Extraction runs first, then Risk Assessment runs on each clause individually, then Summary Generator synthesizes everything. Breaking it into a chain — rather than one massive prompt — produces more accurate results and lets humans review each stage independently.

Bluemoonkey input prompt

This is what you paste into Bluemoonkey's canvas — a plain-language description of what the app should do. Bluemoonkey's AI advisor reads this and generates the full node architecture (pages, APIs, database, AI prompt chain, and checkpoints) shown above. You don't need to write anything technical here — just describe what you want in your own words.

An internal tool for a legal team to speed up the first pass of contract review.

I need an Upload Portal where team members drag and drop contracts (PDF, DOCX, or text) and tag them with counterparty, contract type, and value. Support uploading several at once.

A Review Dashboard listing every contract in the pipeline with its risk score (color-coded), extraction status, and review stage, filterable by risk level and date.

A Contract Detail page showing extracted clauses next to the original text, each clause's risk score, a plain-English summary, flagged clauses, and space for reviewer notes with approve, reject, or request-revision actions.

An Admin Panel to manage team roles, set risk thresholds, view an audit log of every change, and export reports.

The AI should read an uploaded contract, pull out key clauses (termination, liability, payment, IP, confidentiality), score each one's risk against standard terms, and write a plain-English summary with recommended actions.

A legal team member must review and can override every risk score before it's final, and an admin must approve the finished review before it's shared with anyone. Log every action for compliance.

After Bluemoonkey generates the blueprint, review each node — adjust wording, check the risk-scoring thresholds, and confirm the architecture matches what you need. From there, Bluemoonkey's canvas gives you a build-ready prompt for Cursor or Claude Code with one click — no manual prompt writing required.

New to app architecture? Start with our guide on how to plan an app before coding.

FAQ

What is an AI contract review assistant?

An AI contract review assistant automates the initial review of legal contracts. It extracts key clauses, scores risk levels, generates plain-English summaries, and flags clauses that need human attention — all before a lawyer reviews the document. The human review checkpoint ensures no AI analysis goes out without legal oversight.

Can I export this blueprint to Cursor?

Yes. Paste the Bluemoonkey input prompt above into the free canvas, let the AI advisor build out the blueprint, then click Export. Bluemoonkey generates a structured, Cursor-ready prompt for you automatically — no manual prompt writing needed.

Do I need to write the Cursor prompt myself?

No. You only write the short, plain-language prompt above and paste it into Bluemoonkey's canvas. Bluemoonkey's AI advisor turns it into the full node architecture, and when you click Export, it generates the structured, technical prompt for Cursor or Claude Code automatically.

How many nodes does this blueprint have?

This blueprint has 15 nodes: 4 frontend pages, 3 APIs, 3 AI prompts (including a prompt chain for clause extraction), 2 human checkpoints, and 3 data stores (contracts DB, users DB, and audit log). Every node is editable in the free canvas.

Is the AI analysis reliable enough for legal use?

The blueprint includes two human checkpoints specifically for this reason. The Review Checkpoint requires a legal team member to validate every risk score and clause extraction before it's finalized. The Approval Gate requires admin sign-off before the analysis is shared. The AI does the first pass — humans make the final call.

What is a prompt chain?

A prompt chain is when an AI task is broken into sequential steps instead of one large prompt. In this blueprint, Clause Extraction processes the contract section by section rather than all at once. This produces more accurate results and lets humans review each stage independently. Each step's output feeds into the next.