[u'Intake Received Date:',
 u'9/11/2012',
 u'Intake ID:',
 u'CA00325127',
 u'Allegation Category:',
 u'Infection Control',
 u'Investigation Finding:',
 u'Substantiated',
 u'Intake Received Date:',
 u'5/14/2012',
 u'Intake ID:',
 u'CA00310421',
 u'Allegation Category:',
 u'Quality of Care/Treatment',
 u'Investigation Finding:',
 u'Substantiated',
 u'Intake Received Date:',
 u'8/15/2011',
 u'Intake ID:',
 u'CA00279396',
 u'Allegation Category:',
 u'Quality of Care/Treatment',
 u'Sub Categories:',
 u'Screening',
 u'Investigation Finding:',
 u'Unsubstantiated',]

'Intake Received Date', 'Intake ID', 'Allegation Category', 'Sub Categories', 'Investigation Finding'
'9/11/2012', 'CA00325127', 'Infection Control', '', 'Substantiated'
'5/14/2012', 'CA00310421', 'Quality of Care/Treatment', '', 'Substantiated'
'8/15/2011', 'CA00279396', 'Quality of Care/Treatment', 'Screening', 'Unsubstantiated'

compgroup = []
for k, g in groupby(complist, key=lambda x:re.search(r'Intake Received Date', x)):
    if not k:
        compgroup.append(list(g))


#Intake Received Date was removed, so insert it back to beginning of each list:
for c in compgroup:
    c.insert(0, u'Intake Received Date')


#Create list of dicts to map the preceding titles to their respective data element:
dic = []
for c in compgroup:
    dic.append(dict(zip(*[iter(c)]*2)))

data=[u'Intake Received Date:',
 u'9/11/2012',
 u'Intake ID:',
 u'CA00325127',
 u'Allegation Category:',
 u'Infection Control',
 u'Investigation Finding:',
 u'Substantiated',
 u'Intake Received Date:',
 u'5/14/2012',
 u'Intake ID:',
 u'CA00310421',
 u'Allegation Category:',
 u'Quality of Care/Treatment',
 u'Investigation Finding:',
 u'Substantiated',
 u'Intake Received Date:',
 u'8/15/2011',
 u'Intake ID:',
 u'CA00279396',
 u'Allegation Category:',
 u'Quality of Care/Treatment',
 u'Sub Categories:',
 u'Screening',
 u'Investigation Finding:',
 u'Unsubstantiated',]

from itertools import groupby

headers=['Intake Received Date:', 'Intake ID:', 'Allegation Category:', 'Sub Categories:', 'Investigation Finding:']
sep='Intake Received Date:'
compgroup = []
for k, g in groupby(data, key=lambda x: x==sep):
    if not k:
        compgroup.append([sep]+list(g))

print ', '.join(e[0:-1] for e in headers)

for di in [dict(zip(*[iter(c)]*2)) for c in compgroup]:
    line=[]
    for h in headers:
        try:
            line.append(di[h])
        except KeyError:
            line.append('*')
    print ', '.join(line)

Intake Received Date, Intake ID, Allegation Category, Sub Categories, Investigation Finding
9/11/2012, CA00325127, Infection Control, *, Substantiated
5/14/2012, CA00310421, Quality of Care/Treatment, *, Substantiated
8/15/2011, CA00279396, Quality of Care/Treatment, Screening, Unsubstantiated