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文档
Deposition Question Development
试用Develop deposition question sets from Relativity-exported PDF productions using a user-provided legal theory. Use when tasks involve reviewing opponent-produ...
它能做什么
Analyze one or more Relativity-exported PDF productions against a legal theory and generate deposition questions organized by document ID. Each question includes a reason for asking and a document quote that can be used if the witness denies.
技能文档
Relativity Deposition Question Builder
Overview
Analyze one or more Relativity-exported PDF productions against a legal theory and generate deposition questions organized by document ID. Each question includes a reason for asking and a document quote that can be used if the witness denies.
Required Behavior
- Ask for the legal theory first before producing analysis or questions.
- Ask for PDF path(s) if not already provided.
- Extract page-level document IDs from the bottom-right area of each page.
- If two numeric IDs appear in that area, choose the smaller number as the page document ID.
- Keep quotes verbatim and include source file plus page number for each quote.
- Group outputs by document ID and place each question under its document ID heading.
- Under every question, include:
Reason why we ask this questionQuote from the document to use in deposition in case the opponent party denies
Workflow
- Gather inputs.
- Confirm the user's legal theory.
- Confirm PDF source path(s).
- Optionally gather witness name/role and priority topics.
- Extract per-page text and document IDs.
- Run:
python scripts/extract_relativity_pages.py \ --input \ --recurse \ --output - Review pages where
selected_document_idis null and flag for manual check.
- Run:
- Build a relevance map for the legal theory.
- For each page, classify relation to theory:
supports,undermines,neutral. - Focus question drafting on
supportspages first, thenunderminespages for impeachment.
- For each page, classify relation to theory:
- Draft deposition questions grouped by document ID.
- Use short, concrete, single-issue questions.
- Start with authentication/foundation, then admission and contradiction questions.
- Use direct quotes from page text for denial follow-up.
- Return output in required structure.
- Follow
references/deposition_output_template.md. - Keep document IDs in ascending numeric order.
- Follow
Output Rules
- Do not merge different document IDs into one section.
- Do not omit
ReasonorQuotesections under any question. - If no reliable quote exists, mark:
Quote from the document to use in deposition in case the opponent party denies: [No direct quote located - manual verification required]
- Prefer quotes that are short, specific, and tied to one factual proposition.
Resources
- Extraction tool:
scripts/extract_relativity_pages.py - Output template:
references/deposition_output_template.md
Dependencies
Install once if missing:
python -m pip install --user pdfplumber
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