Short answer
If your priority is preserving precise legal terminology across very long files and getting conservative, audit-friendly analysis, favor Claude for the initial draft/analysis. If you want fast, iterative synthesis into client‑facing briefs with lots of workflow integrations and lower cost per query, favor ChatGPT. Both can work in a paralegal workflow; pick by decision criteria below.

Recommendation
- Use Claude as the primary tool for deep, document‑level analysis, extraction of legal issues, and producing an annotated draft that preserves statutory language, holdings, and exact quotations. Use ChatGPT for polishing, rephrasing, or converting that annotated draft into a tight client memo or hearing brief.

Decision criteria (pick what matters most)
- Accuracy & terminology preservation: Claude (stronger “careful analysis” behavior). Prioritize here if you must preserve exact legal terms, quotations, and citations.
- Long‑document handling: Claude tends to handle long contexts better out of the box; ChatGPT is fine but may need chunking strategies.
- Synthesis vs iteration speed: ChatGPT is faster for conversational revisions and rephrasing.
- Traceability & citations: Both need careful prompting to include citeable line/paragraph pointers; Claude’s output often reads more conservatively.
- Cost & integrations: ChatGPT often has broader ecosystem/plugins and lower per‑token cost depending on plan.
- Security & compliance: Choose based on your firm's policy and hosting options (on‑premises/enterprise versions matter).
- Team size/skill: Small teams or solo paralegals may prefer ChatGPT for speed; larger teams that need audit trails and multi‑stage review may prefer Claude.

Practical checklist (copyable)
- Prepare source: OCR clean, number pages/paragraphs, create a table of contents and exhibit labels.
- Prompt template: Role ("You are a paralegal summarizing for an associate"), task (extract facts, issues, holdings, rulings), constraints (preserve exact statutory terms and quotes, include paragraph/page references), output format (bulleted facts, issue statement, holding, procedural posture, quoted excerpt with citation), and a short confidence note.
- Chunking: If file > model context, split by logical units (facts, procedural history, analysis) and include an executive prompt to stitch chunks and preserve citations.
- Verification: Always spot‑check every quoted phrase against source, verify case citations with a legal citation tool, and have an attorney sign off on final briefs.
- Version control: Save original AI outputs, edits, and metadata (prompt, model, time) for auditability.

Best‑for / Avoid‑if
- Best for Claude: lengthy case files, conservative/legalistic drafting, retaining exact terminology. Avoid if you need rapid conversational edits or low cost.
- Best for ChatGPT: quick synthesis, client‑friendly rewording, integration into existing toolchains. Avoid if you need the highest fidelity to original legal language or very long single‑document context.

When the choice depends
- Budget: ChatGPT can be cheaper per interaction. Skill level: inexperienced users may find ChatGPT easier to iterate with; paralegals with strong prompting skills will get more from Claude. Workflow stage: use Claude for analysis/extraction stage, ChatGPT for final synthesis.

If you want, I can draft a reusable prompt template (with preservation rules and a verification checklist) tuned for your typical case file length and jurisdiction.

Compare Claude and ChatGPT