Using word vectors to enable better search in our legal products

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One of the areas that can greatly improve the customer experience is a search that returns relevant content. In this session, Hans presents the most current results on his research to extract a keyword vocabulary and use vectorized representations of these words to enable lawyer customers to find the content that helps them do their job.

Data & Analytics

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

15 people so far
Attendees Experience
probands

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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You can see the future first in San Francisco. Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum. The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war. Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change. Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride. Let me tell you what we see.

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Everything you wanted to know about LIHTC

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一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理

mzpolocfi

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Analysis insight about a Flyball dog competition team's performance

roli9797

一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理

mbawufebxi

原版定制【微信:41543339】【(Bradford毕业证书)布拉德福德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

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2. • 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?

3. opportunities • quality and efficiency of case processing can be significantly increased • new consulting products can be offered Artificial Intelligence For Lawyers

4. OBJECTIVES technologie word2vec use case selection search Our Current project together with TUm

5. Searcher intent Query context Conceptual match SEMANTIC Search

6. • vector representations of words • unsupervised learning • sematic relationships (k- m+w=q) • cosine similarity for comaprison word2vec

7. RESULTS

8. 15 people so far Attendees Experience probands

9. 15 people so far Attendees Behavior

10. SUS

11. WORD2VEC SENT provides the best results participants confirm the quality of the search results quality measured with the ground truth

12. • 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

13. best search results for his question what is not found is not there Value FOR OUR Customers

14. In exploration stage TUM collaboration accelerated the entry We should stay on it. conclusion

15. Questions? Thank you very much for your attention. Hans.Lecker @haufe-lexware.com

Editor's Notes

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
quality and efficiency … - https://www.lawgeex.com/resources/aivslawyer/, contract review new consulting products can be offered – highly automated small cases (Legal Tech)
Live show prototype WordAddIn Haufe-Recht
SUS Score
Welches Fachgebiet bis Du unterwegs?
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.

Using word vectors to enable better search in our legal products

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Editor's Notes