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Editorial Team
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Editorial Team
Asked: May 14, 20262026-05-14T14:56:10+00:00 2026-05-14T14:56:10+00:00

I need to parse text files where relevant information is often spread across multiple

  • 0

I need to parse text files where relevant information is often spread across multiple lines in a nonlinear way. An example:

1234
 1         IN THE SUPERIOR COURT OF THE STATE OF SOME STATE           
 2              IN AND FOR THE COUNTY OF SOME COUNTY                
 3                      UNLIMITED JURISDICTION                        
 4                            --o0o--                                 
 5                                                                    
 6   JOHN SMITH AND JILL SMITH,         )                             
                                        )                             
 7                  Plaintiffs,         )                             
                                        )                             
 8        vs.                           )     No. 12345
                                        )                             
 9   ACME CO, et al.,                   )                             
                                        )                             
10                  Defendants.         )                             
     ___________________________________)                             

I need to pull out Plaintiff and Defendant identities.

These transcripts have a very wide variety of formattings, so I can’t always count on those nice parentheses being there, or the plaintiff and defendant information being neatly boxed off, e.g.:

 1        SUPREME COURT OF THE STATE OF SOME OTHER STATE
                      COUNTY OF COUNTYVILLE
 2                  First Judicial District
                     Important Litigation
 3  --------------------------------------------------X
    THIS DOCUMENT APPLIES TO:
 4
    JOHN SMITH,
 5                            Plaintiff,          Index No.
                                                  2000-123
 6
                                            DEPOSITION
 7                  - against -             UNDER ORAL
                                            EXAMINATION
 8                                              OF
                                            JOHN SMITH,
 9                                           Volume I

10  ACME CO,
    et al,
11                            Defendants.

12  --------------------------------------------------X

The two constants are:

  1. “Plaintiff” will occur after the
    name of the plaintiff(s), but not
    necessarily on the same line.
  2. Plaintiffs and defendants’ names
    will be in upper case.

Any ideas?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-14T14:56:11+00:00Added an answer on May 14, 2026 at 2:56 pm

    I like Martin’s answer.
    Here’s perhaps a more general approach using Python:

    import re
    
    # load file into memory 
    # (if large files, provide some limit to how much of the file gets loaded)
    with open('paren.txt','r') as f:
      paren = f.read() # example doc with parens
    
    # match all sequences of one or more alphanumeric (or underscore) characters 
    # when followed by the word `Plaintiff`; this is intentionally general
    list_of_matches = re.findall(r'(\w+)(?=.*Plaintiff)', paren, 
        re.DOTALL|re.MULTILINE)
    
    # join the list separating by whitespace
    str_of_matches = ' '.join(list_of_matches)
    
    # split string by digits (line numbers)
    tokens = re.split(r'\d',str_of_matches)
    
    # plaintiffs will be in 2nd-to-last group
    plaintiff = tokens[-2].strip()
    

    Tests:

    with open('paren.txt','r') as f:
      paren = f.read() # example doc with parens
    list_of_matches = re.findall(r'(\w+)(?=.*Plaintiff)',paren,
      re.DOTALL|re.MULTILINE)
    str_of_matches = ' '.join(list_of_matches)>>> tokens = re.split(r'\d', str_of_matches)
    tokens = re.split(r'\d', str_of_matches)
    plaintiff = tokens[-2].strip()
    plaintiff
    # prints 'JOHN SMITH and JILL SMITH'
    
    with open('no_paren.txt','r') as f:
      no_paren = f.read() # example doc with no parens
    list_of_matches = re.findall(r'(\w+)(?=.*Plaintiff)',no_paren,
      re.DOTALL|re.MULTILINE)
    str_of_matches = ' '.join(list_of_matches)
    tokens = re.split(r'\d', str_of_matches)
    plaintiff = tokens[-2].strip()
    plaintiff
    # prints 'JOHN SMITH'
    
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