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Bulk Document Extraction Review

Extract Data from Document Sets in Minutes, Not Hours

12 minutes with Para

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Para is an AI colleague for legal teams. Send it this work by email, Teams or Slack, and it hands back the finished document.

12 minutes with Para

What you'll need

  • Legal Document Set

Plans from $20 a month, with usage included.

Workflow

Overview

CaseMark's Bulk Document Extraction & Review skill transforms large sets of legal documents into structured, reviewable tables. Each document becomes a row, and user-defined extraction questions become columns — producing organized datasets with source citations that enable rapid analysis, pattern identification, and reporting across entire document portfolios.

Manual review of large document sets is one of the most time-intensive tasks in legal practice. Associates and paralegals spend days or weeks reading through data rooms, contracts, and filings — manually extracting key terms into spreadsheets, risking inconsistency, missed provisions, and human error across hundreds of documents.

CaseMark automates the entire extraction workflow. Upload your document set, define what you need to extract (or let AI suggest a schema), and receive a structured table with every key data point, source citation, and cross-document analysis — turning weeks of manual review into minutes of AI-powered processing.

How to hand this to Para

  1. 1. Send Para the files

    Email them, drop them in a Teams or Slack message, or upload them.

  2. 2. Para runs the Bulk Document Extraction Review skill

    It works from your files and checks its citations against the record.

  3. 3. The finished document comes back

    Para returns it where you asked, usually as a DOCX, and offers the next step.

Example request · email, Teams or Slack
Para, run the Bulk Document Extraction Review skill for the Garcia matter. I've attached the Legal Document Set. Send the finished draft back here as a DOCX.

What Para does

  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 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)

  • Source Citations & Verbatim References

  • Cross-Document Analysis & Summary Findings

  • Flagged Issues & Anomalies 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 output

  • Customizable extraction questions — define exactly what data points to pull from each document

  • Source citations linking every extracted value back to the original document language

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

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

Required documents

  • Legal Document Set

    The collection of legal documents to be processed — contracts, agreements, correspondence, filings, or any other document types requiring structured extraction

    .pdf, .docx, .doc, .txt

Supporting documents

  • Extraction Template or Checklist

    A predefined list of extraction questions, due diligence checklist, or column definitions to guide what data points should be extracted from each document

    .pdf, .docx, .xlsx, .csv

  • Reference or Comparison Document

    A template agreement, standard form, or benchmark document to compare extracted terms against

    .pdf, .docx

Why teams use it

Reduce document review time by orders of magnitude — process hundreds of documents into structured tables automatically

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

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

Deliver client-ready due diligence reports, compliance summaries, and portfolio analyses in a fraction of the traditional timeline

Questions

What types of documents can I process in bulk?

CaseMark handles contracts, agreements, NDAs, leases, employment agreements, correspondence, regulatory filings, and virtually any legal document type. You can process homogeneous sets (e.g., all NDAs) or mixed data rooms with different document types.

How does CaseMark decide what data to extract from each document?

You can define custom extraction questions — each question becomes a column in your output table. If you don't provide questions, CaseMark automatically proposes a standard column set based on the document type, covering parties, dates, key terms, obligations, and risk provisions.

Can I customize the extraction fields for my specific review needs?

Absolutely. CaseMark supports six column types — verbatim extraction, free response summaries, yes/no classifications, dates, numeric values, and lists. You can tailor the extraction schema to match your due diligence checklist, compliance framework, or reporting requirements.

How does the AI handle documents with missing or ambiguous information?

CaseMark flags cells where information is not found, ambiguous, or potentially inconsistent across documents. Every extracted value includes a source citation so you can quickly verify against the original language and make informed judgments.

What output formats are available?

CaseMark can deliver results as structured tables, narrative reports, or CSV files suitable for import into spreadsheets and databases. You can also export in DOCX and PDF formats for client deliverables and internal reporting.

Is this suitable for large-scale due diligence reviews?

Yes. CaseMark is designed for exactly this use case. Whether you're reviewing a data room with hundreds of contracts or auditing a portfolio of leases, the bulk extraction workflow processes documents at scale and produces organized, reviewable output that dramatically reduces manual review time.

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