1.0
Relevant legal information in context
Hans.Lecker@haufe-lexware.com
AI at Haufe
Lawyers
• range of new services
• value creation process
The use of the opportunities and the
adaptation of the technology could
be critical for survival in the market.
How relevant is
Artificial
Intelligence for
us?
opportunities
• quality and efficiency of case
processing can be significantly
increased
• new consulting products can be
offered
Artificial
Intelligence For
Lawyers
OBJECTIVES
technologie
word2vec
use case
selection search
Our Current
project together
with TUm
Searcher intent
Query context
Conceptual match
SEMANTIC
Search
• vector representations of words
• unsupervised learning
• sematic relationships (k-
m+w=q)
• cosine similarity for comaprison
word2vec
RESULTS
15 people so far
Attendees Experience
probands
15 people so far
Attendees Behavior
SUS
WORD2VEC SENT provides the best results
participants confirm the
quality of the search results
quality measured with the
ground truth
• selection search is good as starting point
• but users also want the ability to control the search results
• 90% have said that they would continue to use the selection
search in the future.
Ovservations
best search results for his
question
what is not found is not
there
Value FOR OUR
Customers
In exploration stage
TUM collaboration
accelerated the entry
We should stay on it.
conclusion
Questions?
Thank you very much for your attention.
Hans.Lecker
@haufe-lexware.com

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Using word vectors to enable better search in our legal products

Editor's Notes

  • #3: range of new service = improved search for expert knowledge, case analyse tools, decision support tools value createn process = index of keywords, content creation (Kommentare, Schmerzengeldtabelle), content analyse
  • #4: quality and efficiency … - https://www.lawgeex.com/resources/aivslawyer/, contract review new consulting products can be offered – highly automated small cases (Legal Tech)
  • #5: Live show prototype WordAddIn Haufe-Recht
  • #11: SUS Score
  • #14: Welches Fachgebiet bis Du unterwegs?
  • #15: Exploration stage – understanding the technology and it‘s framework conditions is necessary TUM collaboration - The cooperation with the university has considerably accelerated the entry into ML.