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Bulk Document Extraction Review

Extract Data from Document Sets in Minutes, Not Hours

12 minutes with CaseMark

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1. Add your email so we know where to send the result.

2. Upload the files you want analyzed.

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Bulk Document Extraction Review

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Workflow

Bulk Document Extraction Review

Overview

CaseMark's Bulk Document Extraction & Review skill transforms large sets of legal documents into structured, reviewable tables. Each document becomes a row, each extraction question becomes a column, and every data point is linked back to its source — turning weeks of manual document review into a streamlined, AI-powered workflow.

Reviewing large document sets — whether for due diligence, compliance audits, or portfolio analysis — traditionally requires teams of attorneys manually reading each document, extracting key terms into spreadsheets, and cross-referencing findings. This process is expensive, error-prone, and painfully slow, often taking days or weeks for even moderately sized document collections.

CaseMark automates the entire extraction workflow. Upload your documents, define what you need to extract (or let AI propose the right columns), and receive a complete, citation-backed table ready for review and analysis. Cross-document pattern detection highlights risks and outliers automatically, giving legal teams portfolio-level insight without the manual grind.

How it works

  1. 1. Upload your document set — contracts, agreements, correspondence, filings, or mixed collections

  2. 2. Define your extraction questions or let AI propose a standard column set based on document type

  3. 3. AI processes each document, extracting structured data into organized rows and columns with source citations

  4. 4. Review the completed table, run cross-document analysis, and export as DOCX, PDF, or CSV

What you get

  • Column Design & Extraction Schema

  • Document-by-Document Extraction Table

  • Cross-Document Analysis & Pattern Summary

  • Risk and Outlier Flags

  • Summary Report with Key Findings

What it handles

  • Automated column design based on document type with verbatim, classification, date, numeric, and list extraction

  • Row-per-document tabular output with source citations for every extracted data point

  • Standard extraction templates for contracts, NDAs, leases, employment agreements, and regulatory filings

  • Cross-document analysis identifying patterns, outliers, and risks across the entire dataset

  • Custom extraction questions supporting free-response summaries and Yes/No classifications

  • Export-ready tables for due diligence reports, compliance audits, and portfolio reviews

Required documents

  • Legal Document Set

    The collection of legal documents to be reviewed and extracted — contracts, agreements, correspondence, filings, or mixed document sets

    .pdf, .docx, .doc, .txt

Supporting documents

  • Extraction Template or Question List

    Custom extraction questions, column definitions, or a prior extraction template to guide the AI's column design

    .pdf, .docx, .xlsx, .csv, .txt

  • Review Instructions or Scope Memo

    Instructions specifying the review purpose, priority areas, or specific provisions to flag

    .pdf, .docx, .txt

Why teams use it

Reduce document review time by orders of magnitude — process entire data rooms or contract portfolios in minutes instead of days

Ensure consistency and completeness with standardized extraction columns applied uniformly across every document

Surface risks, outliers, and missing provisions through automated cross-document analysis

Produce export-ready tables and reports for due diligence, compliance audits, board reporting, and litigation preparation

Questions

How many documents can CaseMark process in a single bulk extraction?

CaseMark is designed to handle large document sets typical of due diligence data rooms, contract portfolios, and compliance reviews. The system processes each document individually and assembles results into a unified table, scaling to meet the demands of real-world legal workflows.

Do I need to define extraction questions for every review?

No. CaseMark automatically proposes a standard column set based on your document type — whether contracts, NDAs, leases, employment agreements, or regulatory filings. You can customize, add, or remove columns at any time to fit your specific review objectives.

How does CaseMark ensure extraction accuracy across documents?

Every extracted data point includes a source citation back to the original document, allowing you to verify any entry against the underlying text. CaseMark uses classification, verbatim extraction, and interpretive summarization to capture information precisely as it appears or as contextually appropriate.

Can I use this for mixed document sets with different document types?

Absolutely. CaseMark handles mixed data rooms containing contracts, correspondence, filings, and other document types. The AI adapts its extraction approach to each document while maintaining a consistent tabular structure across the entire set.

What output formats are available for the extraction results?

CaseMark supports export in DOCX, PDF, and CSV formats. The tabular output is designed for easy integration into due diligence reports, board presentations, compliance summaries, and spreadsheet-based analysis workflows.

Can CaseMark identify risks and outliers across the document set?

Yes. Beyond individual document extraction, CaseMark performs cross-document analysis to flag patterns, inconsistencies, missing provisions, and outlier terms — giving you a portfolio-level view that would take days to compile manually.

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