1.Overview
A Review Table is a spreadsheet-like interface where each row represents a document and columns contain extracted or analyzed data about that document. Proper setup ensures consistent, scalable analysis across your document collection.
2.Review Table Creation Process
1. Project Definition
- Project Name: Descriptive name (e.g., "Acquisition Due Diligence - Target Corp")
- Project Type: Selection from predefined types (Due Diligence, Discovery, Compliance Review, Contract Management)
- Stakeholders: Identification of project team members and their roles (Reviewers, Quality Assurance, Project Manager)
- Timeline: Project start and target completion date
2. Column Definition
Define data to be captured for each document. Example columns for contract review:
- Document Name
- Document Type
- Parties
- Effective Date
- Termination/Renewal Date
- Key Obligations
- Payment Terms
- Liability Caps
- Insurance Requirements
- Risk Level
- Recommendation
3. Column Type Specification
- Text field: Free-form text data
- Select list: Predefined options (e.g., Risk Level: High, Medium, Low)
- Date field: Date-specific entries
- Checkbox: Yes/No values
- Number field: Numeric data
- File attachment: Links to supporting documents
4. Document Collection Upload
- Bulk document upload or integration with external document repositories
- Automatic document deduplication and naming standardization
3.Example Review Table Structure: Acquisition Due Diligence
| Document Name | Document Type | Date | Parties | Key Issue | Risk Level | Recommended Action | Status |
|---|---|---|---|---|---|---|---|
| EmpAgr_2019.pdf | Employment | 3/15/2019 | Company & Employees | Restrictive covenants enforceability | Medium | Review enforceability in acquisition state | Pending |
| ServiceAgr_AWS.pdf | Service | 1/20/2021 | Company & AWS | Change of control termination | High | Obtain AWS consent before closing | Pending |
Frequently asked questions
A Review Table is a spreadsheet-like interface where each row represents a document and columns contain extracted or analyzed data about that document. Review Tables support due diligence, discovery, compliance review, and contract management projects.
Ask Sque can analyze entire document collections simultaneously—classifying document types, extracting key data elements (parties, dates, obligations, financial terms), performing custom domain-specific analysis, and flagging high-risk documents. Extracted data automatically populates Review Table columns.
Yes. Review Tables support team-based review with defined roles (Reviewer, Quality Assurance, Project Manager, Approver), staged workflows, QA sampling, and tracked quality metrics including accuracy rate, rework rate, and timeliness.
Review Tables generate summary reports, detailed spreadsheet exports, risk summaries sorted by severity, and action item lists including required consents, renegotiation items, and compliance obligations.