Dispute Review

L3
ModelContextProtocolFilesystemLegal Document

Analyze multiple versions of legal documents to track clause discussion frequency and generate a comprehensive dispute summary report.

Created by Lingjun Chen
2025-08-15
Data ExtractionCross ReferencingPattern Analysis

Model Ranking

Click on the dots to view the trajectory of each task run
Model
Run Results
Pass@4
Pass^4
Avg Time
Avg Turns
Input Tokens
Output Tokens
Total Tokens
OpenAI
gpt-5-high
4
/4
179.6s
5.5
128,309
7,067
135,376
OpenAI
gpt-5-low
4
/4
76.5s
6.8
156,476
4,996
161,472
OpenAI
gpt-5-medium
4
/4
95.8s
7.3
146,657
4,693
151,350
Grok
grok-4
4
/4
95.6s
8.0
164,531
4,106
168,637
OpenAI
o3
4
/4
62.3s
9.5
227,862
2,564
230,426
Claude
claude-sonnet-4-high
3
/4
50.2s
6.0
149,846
1,754
151,601
OpenAI
gpt-4-1
3
/4
28.5s
7.0
131,892
1,112
133,003
OpenAI
gpt-5-mini-high
3
/4
106.1s
10.5
355,967
10,621
366,588
OpenAI
gpt-5-mini-medium
3
/4
48.8s
9.0
224,607
3,581
228,187
Grok
grok-code-fast-1
3
/4
22.4s
8.3
188,143
472
190,765
Claude
claude-sonnet-4
2
/4
84.0s
6.3
158,342
1,327
159,669
Claude
claude-sonnet-4-low
2
/4
47.6s
6.0
149,730
1,641
151,371
OpenAI
o4-mini
2
/4
160.3s
12.8
373,102
8,410
381,512
Gemini
gemini-2-5-pro
1
/4
217.3s
7.3
177,268
4,954
182,221
OpenAI
gpt-5-mini-low
1
/4
26.1s
6.5
88,933
673
89,605
Claude
claude-opus-4-1
0
/1
--
124.0s
7.0
144,729
1,415
146,144
DeepSeek
deepseek-chat
0
/4
179.6s
11.8
571,133
1,586
572,719
Gemini
gemini-2-5-flash
0
/4
212.2s
4.0
64,444
17,127
81,571
Z.ai
glm-4-5
0
/4
78.2s
6.8
130,702
2,692
133,393
OpenAI
gpt-4-1-mini
0
/4
26.7s
6.0
70,204
796
71,000
OpenAI
gpt-4-1-nano
0
/4
14.5s
5.8
77,350
331
77,681
OpenAI
gpt-5-nano-high
0
/4
239.2s
11.8
472,302
46,563
518,865
OpenAI
gpt-5-nano-low
0
/4
89.5s
11.8
246,605
15,600
262,204
OpenAI
gpt-5-nano-medium
0
/4
109.8s
10.5
288,332
19,076
307,408
OpenAI
gpt-oss-120b
0
/4
10.6s
4.3
12,947
437
13,384
MoonshotAI
kimi-k2-0711
0
/4
77.7s
7.5
134,431
940
135,371
MoonshotAI
kimi-k2-0905
0
/4
242.6s
16.5
886,150
2,105
888,254
Qwen
qwen-3-coder-plus
0
/4
38.2s
7.3
205,186
800
205,986
Qwen
qwen-3-max
0
/4
52.0s
8.0
207,564
496
208,060

Task State

Task Initial State Files
Download ZIP package to view the complete file structure
legal_document/ └── legal_files/ ├── Preferred_Stock_Purchase_Agreement_v0.txt ├── Preferred_Stock_Purchase_Agreement_v1.txt ├── Preferred_Stock_Purchase_Agreement_v2.txt ├── Preferred_Stock_Purchase_Agreement_v3.txt ├── Preferred_Stock_Purchase_Agreement_v4.txt ├── Preferred_Stock_Purchase_Agreement_v5.txt ├── Preferred_Stock_Purchase_Agreement_v6.txt ├── Preferred_Stock_Purchase_Agreement_v7.txt ├── Preferred_Stock_Purchase_Agreement_v8.txt ├── Preferred_Stock_Purchase_Agreement_v9.txt └── Preferred_Stock_Purchase_Agreement_v10.txt

Instruction

Please use FileSystem tools to finish the following task:

Overview

The folder "legal_files/" contains all versions (Preferred_Stock_Purchase_Agreement_v0.txt -- Preferred_Stock_Purchase_Agreement_v10.txt) of the Stock Purchase Agreement for a corporate investment project.

There are comments in it, come from four people:

  • Bill Harvey (Company CEO)
  • Michelle Jackson (Investor)
  • David Russel (Company Counsel)
  • Tony Taylor (Investor Counsel)

Between v1 and v9, these four people make comments on the clauses. The comment format is [name:content], where:

  • name is the commenter's name
  • content is the revision note

Special Note: If the name is "All parties", it represents a joint comment from all parties, which counts as one comment but does not count toward any individual's personal comment count.

Task

Your task is to review these versions and identify all clauses that have been commented in v5,6,7 (in folder legal_files/). Generate a file named dispute_review.txt in the main directory. In this file, list each commented clause on a separate line and indicate the number of comments for each clause in the format "Clause number:number of comments". Clause number should be in the format of X.X.



Verify

*.py
Python
#!/usr/bin/env python3
"""
Verification script for Legal Document Dispute Review Task
"""

import sys
from pathlib import Path
import re
import os

def get_test_directory() -> Path:
    """Get the test directory from FILESYSTEM_TEST_DIR env var."""
    test_root = os.environ.get("FILESYSTEM_TEST_DIR")
    if not test_root:
        raise ValueError("FILESYSTEM_TEST_DIR environment variable is required")
    return Path(test_root)

def verify_output_file_exists(test_dir: Path) -> bool:
    """Verify that the dispute_review.txt file exists."""
    output_file = test_dir / "dispute_review.txt"
    
    if not output_file.exists():
        print("❌ File 'dispute_review.txt' not found")
        return False
    
    print("✅ Output file found")
    return True

def verify_output_format(test_dir: Path) -> bool:
    """Verify that the output file has the correct format."""
    output_file = test_dir / "dispute_review.txt"
    
    try:
        content = output_file.read_text().strip()
        
        # Check if content is not empty
        if not content:
            print("❌ Output file is empty")
            return False
        
        # Check format: each line should be "X.X:number"
        lines = content.split('\n')
        for i, line in enumerate(lines, 1):
            line = line.strip()
            if not line:
                continue
                
            # Check format: X.X:number
            if not re.match(r'^\d+\.\d+:\d+$', line):
                print(f"❌ Line {i} has incorrect format: '{line}'")
                print("   Expected format: 'X.X:number' (e.g., '1.1:3')")
                return False
        
        print("✅ Output format is correct")
        return True
        
    except Exception as e:
        print(f"❌ Error reading output file: {e}")
        return False

def verify_expected_entries(test_dir: Path) -> bool:
    """Verify that the output contains the expected entries with correct counts."""
    output_file = test_dir / "dispute_review.txt"
    
    try:
        content = output_file.read_text().strip()
        lines = content.split('\n')
        
        # Parse the output into a dictionary
        output_entries = {}
        for line in lines:
            line = line.strip()
            if not line:
                continue
            clause, count_str = line.split(':', 1)
            output_entries[clause] = int(count_str)
        
        # Expected entries based on answer.txt
        expected_entries = {
            "1.1": 3,
            "1.3": 3,
            "4.6": [5, 6],  # Can be either 5 or 6
            "4.16": 5,
            "6.8": 4
        }
        
        # Check if all expected entries are present
        missing_entries = []
        for clause in expected_entries:
            if clause not in output_entries:
                missing_entries.append(clause)
        
        if missing_entries:
            print(f"❌ Missing expected entries: {missing_entries}")
            return False
        
        # Check if there are extra entries
        extra_entries = []
        for clause in output_entries:
            if clause not in expected_entries:
                extra_entries.append(clause)
        
        if extra_entries:
            print(f"❌ Unexpected extra entries: {extra_entries}")
            return False
        
        # Check counts for each entry
        for clause, expected_count in expected_entries.items():
            actual_count = output_entries[clause]
            
            if isinstance(expected_count, list):
                # For 4.6, accept either 5 or 6
                if actual_count not in expected_count:
                    print(f"❌ Clause {clause}: expected {expected_count}, got {actual_count}")
                    return False
            else:
                if actual_count != expected_count:
                    print(f"❌ Clause {clause}: expected {expected_count}, got {actual_count}")
                    return False
        
        print("✅ All expected entries with correct counts")
        return True
        
    except Exception as e:
        print(f"❌ Error verifying entries: {e}")
        return False

def verify_comment_count_accuracy(test_dir: Path) -> bool:
    """Verify that the comment counts are accurate by checking the actual files."""
    # Since we already verify the expected entries in verify_expected_entries,
    # and the answer.txt contains the correct counts, we can skip this complex verification
    # to avoid false negatives due to regex matching issues.
    
    print("✅ Comment count accuracy check skipped - relying on expected entries verification")
    return True

def main():
    """Main verification function."""
    test_dir = get_test_directory()
    print("🔍 Verifying Legal Document Dispute Review Task...")
    
    # Define verification steps
    verification_steps = [
        ("Output File Exists", verify_output_file_exists),
        ("Output Format", verify_output_format),
        ("Expected Entries", verify_expected_entries),
        ("Comment Count Accuracy", verify_comment_count_accuracy),
    ]
    
    # Run all verification steps
    all_passed = True
    for step_name, verify_func in verification_steps:
        print(f"\n--- {step_name} ---")
        if not verify_func(test_dir):
            all_passed = False
    
    # Final result
    print("\n" + "="*50)
    if all_passed:
        print("✅ Legal document dispute review completed correctly!")
        print("🎉 Task verification: PASS")
        sys.exit(0)
    else:
        print("❌ Task verification: FAIL")
        sys.exit(1)

if __name__ == "__main__":
    main()