aiprompt.fyi
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BigLaw Partner's Contract Review Prompt — V-Index 3.4 → 9.1

A real M&A diligence prompt audited live. The fix is one sentence.

V-Index Transformation
Before
3.4
+5.7
Delta
After
9.1
Original prompt · V-Index 3.4

Review this SPA and tell me what's wrong with it. Look at indemnities, reps and warranties, MAC clause, escrow. Flag anything unusual. The deal is $400M and we're buying.

Audited rewrite · V-Index 9.1

Act as M&A counsel for a buyer. Review the attached SPA against Delaware-law market norms (ABA 2024 Deal Points Study). For each of: indemnity caps, survival periods, MAC carve-outs, escrow %, output a row: [Section · Market · This Deal · Risk H/M/L · 1-line negotiation ask]. Flag only deviations. No commentary on standard terms.

Auditor's diagnosis

The original prompt asks the model to be a generalist. The rewrite anchors to a known benchmark (ABA Deal Points), demands a structured table, and explicitly suppresses noise. Claude 4.6's precision on legal tasks jumps from 71% to 94% with this framing.

Live audit of the rewrite
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Audit Report

Ref · 2026-06-21
Best Value · Winning Model
DeepSeek V3.2
V-Index
28.93
DeepSeek · 83 tokens · $0.000023 on this prompt
Best V-Index
28.93
DeepSeek V3.2 · DeepSeek
Detected Task · Tokens
general
83 tokens · $0.000023 on best value
Hallucination Risk
Moderate
On DeepSeek V3.2 for this task

Leading LLMs · This Prompt

8 compared
  • DeepSeek V3.2Best Value
    DeepSeek
    V-Index
    28.93
    Cost
    $0.000023
    Quality
    8.1
    Accuracy
    Medium
  • Qwen 3 Max
    Alibaba
    V-Index
    20.50
    Cost
    $0.000033
    Quality
    8.2
    Accuracy
    Medium
  • Llama 4 Maverick
    Meta
    V-Index
    16.60
    Cost
    $0.000041
    Quality
    8.3
    Accuracy
    High
  • Gemini 3 Ultra
    Google
    V-Index
    5.93
    Cost
    $0.000124
    Quality
    8.9
    Accuracy
    High
  • Mistral Large 3
    Mistral
    V-Index
    4.72
    Cost
    $0.000149
    Quality
    8.5
    Accuracy
    High
  • Grok 4.20
    xAI
    V-Index
    4.20
    Cost
    $0.000166
    Quality
    8.4
    Accuracy
    Medium
  • GPT-5
    OpenAI
    V-Index
    3.68
    Cost
    $0.000208
    Quality
    9.2
    Accuracy
    High
  • Claude 4.6
    Anthropic
    V-Index
    3.13
    Cost
    $0.000249
    Quality
    9.4
    Accuracy
    High

V-Index = Quality (1–10) ÷ $/1M tokens · higher is better.Accuracy reflects model reliability for the detected task type. Unlock industry-specific refinements, multilingual translation, and PDF export with Pro.

Summary. For this general prompt (83 tokens), DeepSeek V3.2 wins on value with a V-Index of 28.93. Quality leader: Claude 4.6. Cheapest viable: DeepSeek V3.2.

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