Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Drop a contract, get answers. lawclaw rips through PDFs, spots risky clauses, diffs redlines, checks citations, and searches thousands of discovery docs—loca...
Drop a contract, get answers. lawclaw rips through PDFs, spots risky clauses, diffs redlines, checks citations, and searches thousands of discovery docs—loca...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Drop a contract, get answers. lawclaw tears through legal documents the way you wish your associates would—fast, thorough, and without missing the indemnification clause buried on page 47. It extracts text from PDFs, flags key clauses, generates redline comparisons, validates citations, and searches entire discovery sets for the one sentence that wins your case. Everything runs locally on your machine. No uploads, no third-party servers, no risk to attorney-client privilege. Just you, your terminal, and a very sharp claw. Who it's for: Attorneys, paralegals, and legal ops teams doing contract review, litigation support, due diligence, e-discovery, or brief-writing. What it replaces: Hours of Ctrl+F across dozens of PDFs.
Document Analysis Extract text from legal PDFs: pdftotext <file.pdf> <output.txt> Search for specific clauses: grep -i "indemnification\|liability\|warranty" contract.txt Word count for billing: wc -w document.txt Extract metadata: pdfinfo <file.pdf> Contract Clause Extraction Use grep with regex to find common clauses: Indemnification: grep -i "indemnif\|hold harmless" contract.txt Termination: grep -i "terminat\|cancellation" contract.txt -A 3 Confidentiality: grep -i "confidential\|proprietary\|NDA" contract.txt -A 3 Force majeure: grep -i "force majeure\|act of god" contract.txt -A 3 Jurisdiction: grep -i "jurisdiction\|venue\|governing law" contract.txt -A 2 Arbitration: grep -i "arbitration\|dispute resolution" contract.txt -A 3 Non-compete: grep -i "non-compete\|noncompete\|restrictive covenant" contract.txt -A 3 Assignment: grep -i "assign\|transfer\|delegate" contract.txt -A 2 Redline / Comparison Compare two versions: diff -u original.txt revised.txt > redline.diff Side-by-side view: diff -y original.txt revised.txt | less Word-level diff: wdiff original.txt revised.txt > changes.txt Convert Word to text first: pandoc contract.docx -t plain -o contract.txt Citation and Reference Checking Find case citations: grep -E "[0-9]+ [A-Z]\.[A-Za-z0-9.]+ [0-9]+" brief.txt Find U.S. Code refs: grep -E "[0-9]+ U\.S\.C\. § [0-9]+" document.txt Find CFR refs: grep -E "[0-9]+ C\.F\.R\. § [0-9]+" document.txt Extract footnotes: grep -E "\[[0-9]+\]" brief.txt Find Bluebook short cites: grep -E "[A-Z][a-z]+, [0-9]+ [A-Z]\." brief.txt Document Organization Find specific file types: find . -name "*.pdf" -type f Search within discovery docs: grep -r "key term" ./discovery/ List recent modifications: find . -name "*.pdf" -mtime -7 -ls Batch rename exhibits: for f in *.pdf; do mv "$f" "Exhibit_${f}"; done Discovery Support Count pages in PDF: pdfinfo document.pdf | grep Pages Batch convert PDFs: for f in *.pdf; do pdftotext "$f" "${f%.pdf}.txt"; done Create production log: ls -lh *.pdf > production_log.txt Search Bates numbers: grep -r "PROD[0-9]\{6\}" ./documents/ Due Diligence Scan for key terms: grep -i "material adverse\|intellectual property\|pending litigation" diligence/*.txt Extract dates: grep -E "[0-9]{1,2}/[0-9]{1,2}/[0-9]{4}" contract.txt Find monetary amounts: grep -E "\$[0-9,]+(\.[0-9]{2})?" agreement.txt Identify parties: grep -E "WHEREAS|Party|Seller|Buyer|Lessor|Lessee" contract.txt Deposition / Transcript Analysis Search testimony: grep -i "Q\." deposition.txt | grep -i "keyword" Extract witness answers: grep "A\." deposition.txt -A 2 Count pages/lines: wc -l transcript.txt Privilege Log Support Generate file list: find ./documents -type f -exec ls -lh {} \; > privilege_log.csv Search for privileged terms: grep -ri "attorney-client\|work product" ./emails/ Tag privileged docs: grep -rli "attorney-client" ./emails/ > privileged_files.txt
Contract Review Checklist Extract text: pdftotext contract.pdf contract.txt Scan key clauses: grep -i "limitation of liability" contract.txt grep -i "indemnification" contract.txt grep -i "termination" contract.txt grep -i "confidentiality" contract.txt grep -i "governing law" contract.txt Extract monetary terms: grep -E "\$[0-9,]+" contract.txt Flag deadlines: grep -i "within [0-9]+ days\|business days\|calendar days" contract.txt Redline Workflow Convert both versions: pandoc original.docx -t plain -o original.txt && pandoc revised.docx -t plain -o revised.txt Generate diff: diff -u original.txt revised.txt > changes.diff Side-by-side: diff -y original.txt revised.txt | less Discovery Review Extract all PDFs: for pdf in discovery/*.pdf; do pdftotext "$pdf" "${pdf%.pdf}.txt"; done Search across all docs: grep -ri "responsive term" discovery/*.txt Generate document index: ls -lh discovery/*.pdf > document_index.txt Due Diligence Package Review Extract all docs: find diligence/ -name "*.pdf" -exec pdftotext {} \; Search for red flags: grep -ri "litigation\|breach\|default\|bankruptcy" diligence/*.txt Extract unique dates: grep -Eroh "[0-9]{1,2}/[0-9]{1,2}/[0-9]{4}" diligence/*.txt | sort -u Brief / Motion Citation Check Extract citations: grep -E "[0-9]+ [A-Z]\.[A-Za-z0-9.]+ [0-9]+" brief.txt Cross-reference ToA: diff <(grep -oE "[0-9]+ [A-Z]\.\S+ [0-9]+" brief.txt | sort -u) <(sort toa.txt)
All processing runs locally—no cloud uploads—so client confidentiality is preserved Convert proprietary formats (DOCX, DOC) to plain text via pandoc before analysis Use wdiff for word-level comparison: install via brew install wdiff Combine with gog skill for Google Workspace integration (Drive, Gmail, Sheets) Confirm with supervising attorney before automated batch operations on case files For OCR on scanned PDFs, install tesseract: brew install tesseract
Verify all OCR-extracted text for accuracy before relying on it in filings Maintain privilege logs when processing communications Use redaction tools for PII before document production Comply with court e-discovery orders, ESI protocols, and local rules Keep audit trails of all document processing for chain-of-custody challenges Never transmit client data to external services without written consent
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.