An automated tool for legal professionals to generate targeted deposition questions and supporting evidence from Relativity-exported PDF productions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deposition-question-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install deposition-question-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Relativity Deposition Question Builder?
The Relativity Deposition Question Builder is a specialized legal technology tool designed to bridge the gap between massive document productions and actionable litigation strategy. By leveraging Openclaw Skills, this agent analyzes Relativity-exported PDF files against a user-defined legal theory, ensuring every question asked during a deposition is backed by specific document IDs and verbatim quotes.
This skill automates the tedious task of manual document review and question drafting, allowing legal teams to focus on high-level strategy and witness preparation. It provides a structured approach to analyzing opponent-produced evidence, ensuring that no critical admission or contradiction is overlooked during the discovery phase.
Relativity Deposition Question Builder Use Cases
- Reviewing large-scale opponent-produced PDF sets to validate specific legal theories.
- Automating the extraction of per-page document IDs from complex Relativity productions.
- Drafting impeachment and foundation questions with immediate access to supporting quotes.
- Preparing structured deposition outlines organized by document chronologies or ascending document IDs.
How Relativity Deposition Question Builder Works
- The user provides a core legal theory and the local paths to relevant Relativity PDF files.
- The skill utilizes Openclaw Skills logic to extract text and identify document IDs located in the bottom-right corner of each page, intelligently selecting the smaller number if multiple IDs exist.
- Every page is classified based on its relevance to the provided legal theory as supporting, undermining, or neutral.
- The agent drafts short, concrete, single-issue questions grouped by document ID, focusing on authentication and contradiction.
- The system generates a final report including the reason for each question and a verbatim quote to be used if the witness denies a fact.
Relativity Deposition Question Builder Setup
To get started, ensure you have the necessary dependencies installed for PDF processing:
python -m pip install --user pdfplumber
You can then run the extraction script to process your Relativity production files:
python scripts/extract_relativity_pages.py --input <pdf-folder-or-file> --recurse --output <relativity_pages.json>
Relativity Deposition Question Builder Data Schema & Taxonomy
The skill organizes its analysis into a structured format for review and integration into legal workflows:
| Data Point | Description |
|---|---|
| selected_document_id | The specific numeric ID extracted from the bottom-right of the PDF page. |
| legal_relevance | AI-generated classification (supports, undermines, or neutral) relative to the theory. |
| question_set | A list of structured questions, each including a specific reason and a source quote. |
| quote_source | Verbatim text from the document, including the source file and page number. |
Relativity Deposition Question Builder Advanced Features
- Intelligent ID detection that automatically handles multiple numeric markers on a single page to find the correct document ID.
- Recursive folder scanning to process massive productions spanning multiple subdirectories.
- Automated impeachment logic that identifies the best specific quote to counter witness denials.
- Integration with Openclaw Skills for multi-agent workflows involving legal research and witness profiling.
SKILL.md
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