Skills

Tabular Review

Tabular review, one row per document, one column per data point, every cell cited to...

Install

npx skills add anthropics/claude-for-legal --skill tabular-review -g -a claude-code -y
Category
Documents
Updated
6d ago
License
Apache-2.0
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Tabular review, one row per document, one column per data point, every cell cited to source. Built for M&A diligence ("review these 200 target contracts for change-of-control, assignment, and MAC clauses") but works for any batch review that needs a spreadsheet out the other end. Use when user says "tabular review", "review grid", "build a grid", "extract these fields from these contracts", "review these documents for X, Y, Z", "give me a spreadsheet of", "batch review", or points at a folder of documents and asks to compare them.

/tabular-review

  1. Load ~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md → diligence structure, thresholds, house format.
  2. Confirm: what documents, what columns, where does the output go.
  3. Build the typed schema. Write .review-schema.yaml. Confirm with the user.
  4. Sample run (3, 5 docs). Adjust schema. Confirm.
  5. Fan out, one sub-agent per document, parallel. Each cell: value + state + verbatim quote + location.
  6. Normalization pass. Flag outliers and inconsistencies.
  7. Output: .xlsx or Google Sheets (ask which), plus .csv + _sources.csv + markdown always. Work-product header.
  8. Summary: verification workload (counts of not_present / unclear / needs_review per column), flagged columns, where the files are, reminder that every cell is a lead not a finding.
/corporate-legal:tabular-review
/corporate-legal:tabular-review --schema .review-schema.yaml --docs ./vdr/02-Contracts/
/corporate-legal:tabular-review --template ma-diligence

--schema <path>: Use an existing schema file instead of building one. Useful for re-runs and incremental additions.

--template <name>: Start from a template in references/. Currently: ma-diligence.

--docs <path>: Document source. A local folder, a Drive folder ID, or a VDR path. If omitted, asks.

--output <xlsx|gsheets|csv>: Output format. If omitted, asks.

--sample <n>: Sample size for the schema check. Default 5.


Matter context

Read the whole SKILL.md on GitHub

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