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Bulk Document Extraction Review

Extract Structured Data from Document Sets in Minutes

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.

3. Run the workflow and we'll take it from there.

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Workflow

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 — turning days of manual review into minutes of AI-powered analysis. Each document becomes a row, and user-defined or auto-generated extraction questions become columns, producing organized datasets with source citations for due diligence, compliance, and portfolio review.

Reviewing large sets of legal documents manually — whether for due diligence, compliance audits, or portfolio analysis — is one of the most time-intensive tasks in legal practice. Associates and paralegals spend days or weeks reading through hundreds of contracts, extracting key terms into spreadsheets, and cross-referencing provisions, with significant risk of inconsistency and human error.

CaseMark automates the entire bulk extraction workflow. Upload your document set, define what you need to extract (or let AI propose the right columns), and receive a structured table with every key data point, source citation, and cross-document analysis — ready for review, reporting, and client delivery in a fraction of the time.

How it works

  1. 1. Upload your document set — contracts, agreements, correspondence, filings, or mixed data room files

  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 key terms, dates, parties, obligations, and custom fields into organized rows

  4. 4. Review the structured table, cross-document analysis, and flagged issues, then export as DOCX, PDF, or CSV

What you get

  • Column Design & Extraction Schema

  • Structured Extraction Table (One Row Per Document)

  • Cross-Document Analysis & Pattern Summary

  • Flagged Issues & Risk Highlights

  • Executive Summary Report

What it handles

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

  • Bulk processing of contracts, agreements, filings, and correspondence into structured tabular rows

  • Customizable extraction questions tailored to your review purpose

  • Source citations linked to original document language for every extracted data point

  • Cross-document analysis and pattern identification across the full dataset

  • Export-ready tables for due diligence reports, compliance summaries, and portfolio analysis

Required documents

  • Legal Document Set

    The set of contracts, agreements, filings, correspondence, or other legal documents to be reviewed and extracted

    .pdf, .docx

Supporting documents

  • Extraction Template or Question List

    A predefined list of extraction questions or column definitions specifying what data to extract from each document

    .pdf, .docx, .csv

  • Review Checklist or Criteria

    A checklist or set of criteria defining the review purpose, such as due diligence issues list or compliance requirements

    .pdf, .docx

Why teams use it

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

Ensure consistency and completeness with standardized extraction across every document in the set

Identify risks, gaps, and patterns across documents with automated cross-document analysis

Produce client-ready deliverables with export-ready tables, summaries, and flagged issue reports

Questions

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

CaseMark is designed to handle large document sets typical of due diligence reviews and data rooms. You can upload dozens or hundreds of documents in a single workflow, and each will be processed into its own row in the extraction table.

Do I need to define the extraction columns myself?

No. If you don't provide specific extraction questions, CaseMark will automatically propose a standard column set based on your document type — such as parties, dates, key financial terms, and termination provisions for contracts. You can customize or add columns at any time.

How does CaseMark ensure accuracy in the extracted data?

Every extracted data point includes a source citation linked back to the original document language. This allows you to quickly verify any entry in the table against the underlying text, ensuring confidence in the results.

What types of documents work best with this skill?

CaseMark's bulk extraction works with contracts, agreements, NDAs, leases, employment agreements, regulatory filings, correspondence, and virtually any legal document type. It handles both uniform document sets (e.g., all NDAs) and mixed data rooms.

Can I use the output for due diligence reports or client deliverables?

Absolutely. The structured tables and executive summaries are designed to be export-ready for due diligence reports, compliance audit summaries, portfolio analyses, and other client-facing deliverables. Export in DOCX, PDF, or CSV format.

Does CaseMark identify risks or issues across the document set?

Yes. Beyond extracting data into tables, CaseMark performs cross-document analysis to identify patterns, inconsistencies, missing provisions, and flagged risks across your entire document set.

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