1.Overview

Ask Sque can analyze entire document collections simultaneously, extracting key data and populating Review Table columns. Bulk analysis transforms manual document review into automated, consistent extraction at scale.

2.Bulk Analysis Capabilities

1. Document Type Classification

  • System analyzes all documents and classifies by type (Contracts, Pleadings, Evidence)
  • User confirms or corrects classifications

2. Key Data Extraction

System extracts predefined data elements:

  • Parties (for contracts)
  • Dates (effective dates, termination dates, renewal dates)
  • Key obligations
  • Financial terms (payment amounts, rates, escalation provisions)
  • Risk-bearing provisions (liability caps, indemnification)

3. Custom Analysis

Users specify custom analysis for domain-specific requirements:

  • For acquisition due diligence: Identify material contracts, change of control provisions, third-party consents
  • For discovery: Identify documents responsive to specific discovery requests
  • For compliance: Identify documents potentially violating regulatory requirements

4. Risk Identification

Automatic identification of potentially high-risk documents requiring priority review. Ask Sque flags unusual terms, missing standard protections, legal risks, and financial risks.

3.Bulk Analysis Workflow

  1. Define Analysis: User specifies analysis to be performed (e.g., "Extract all terms from this contract collection")
  2. Queue Analysis: Submit all documents for analysis
  3. Background Processing: System processes documents (may take several hours for large collections)
  4. Results Population: Extracted data automatically populates Review Table columns
  5. Quality Review: Users review extracted data for accuracy and completeness
  6. Correction and Refinement: Users correct any inaccurate extractions; system learns from corrections

4.Example Bulk Analysis: Contract Risk Assessment

A firm conducting acquisition due diligence uploads 200 target company contracts. Ask Sque:

  1. Classifies each document by contract type
  2. Extracts parties, effective dates, renewal dates
  3. Identifies change of control provisions (critical for acquisitions)
  4. Extracts payment terms and financial obligations
  5. Identifies material contracts (contracts above specified dollar thresholds)
  6. Flags contracts requiring third-party consent for change of control
  7. Automatically populates Review Table with extracted data
  8. Flags highest-risk contracts for priority partner review

Result: 200-contract due diligence review completed in 48 hours rather than 2–4 weeks, with automated extraction ensuring consistent analysis.

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.