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1 I NTRODUCTION Insights as Stories Ganes Kesari Co-founder & - - PowerPoint PPT Presentation
1 I NTRODUCTION Insights as Stories Ganes Kesari Co-founder & - - PowerPoint PPT Presentation
1 I NTRODUCTION Insights as Stories Ganes Kesari Co-founder & Head 100+ Clients of Analytics Simplify Data Science for all Help apply & adopt Analytics Our data science platform, Gramex is now open- sourced! 2 Smart
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INTRODUCTION
Ganes Kesari Co-founder & Head
- f Analytics
“Simplify Data Science for all” 100+ Clients Insights as Stories Help apply & adopt Analytics
Our data science platform, Gramex is now open- sourced!
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Smart Contract Ris isk k Id Identif ification wit ith AI
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AI VS LAWYERS: THE ULTIMATE SHOWDOWN
https://hackernoon.com/20-top-lawyers-were-beaten-by-legal-ai-here-are-their-surprising-responses-5dafdf25554d https://www.lawgeex.com/resources/AIvsLawyer/
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CHALLENGES WITH CONTRACT REVIEW Voluminous Deliberate Verbosity Tedious Error-prone Lower cognition
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HOW CAN TECHNOLOGY HELP?
Images: Gmail; Grammarly; Skype
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HOW DO THESE WORK? “Programs that solve the problem” “Programs that learn to solve the problem” vs Machine Learning
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HOW DO MACHINES LEARN?
New Input Desired Outcome
Machine learning how to do the job
Known Input Known Outcome
…210.5 AAPL 207.4, 207.1, $204.5, 205.2, …
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ANALYTICS IS MORE THAN MAGIC WITH NUMBERS
”What a nice sunny …day?
Icons: Watercolor vector by starline on freepik; flaticon on freepik; all-free-download.com
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WHY DEEP LEARNING?
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Input Output
Identify features to teach model
Traditional Machine Learning Deep Learning
Person Name
Input Output Model automatically identifies features to learn
Person Name
https://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf
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NOT VERY DIFFERENT FROM HOW WE LEARN
Training ..Versatile Detection!
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AI AROUND US - READING TEXT
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AI AROUND US – TRANSLATING TEXT
Google Translate
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AI AROUND US – GENERATING TEXT
OpenAI: https://openai.com/blog/better-language-models/
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OUR WORK ON CONTRACT RISK IDENTIFICATION
✔︐ Categorize ✔︐ Assess Risk ✔︐ Simplify Reviews
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PREPARING DATA TO TRAIN THE AI
100+ Documents 6000+ Clauses
Icon by Smashicons on Freepik
Categories: Agreement Liability-Indemnity Confidentiality Others Dispute Resolution Payment Terms IP Rights Scope Terms And Conditions Sub Contract Warranty
Data:
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- Term. This Agreement shall be in force for a period of two (2) years from the Effective Date. This
Agreement may be terminated by either Party at any time upon thirty (30) days written notice to the
- ther Party. Provided however that the termination of this Agreement shall not relieve any Party of its
- bligations with respect to Confidential Information disclosed under this Agreement for a period of five
(5) years after the expiry/termination of this Agreement.
PREPARING DATA TO TRAIN THE AI
Categories: Agreement Liability-Indemnity Confidentiality Others Dispute Resolution Payment Terms IP Rights Scope ✔︐ Terms And Conditions Sub Contract Warranty Criticality: Non-Critical ✔︐ Critical
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BUILDING THE MODEL
Data Preparation Gathering Structuring Labeling Modeling ULM Fit Language model Built a Classifier – Criticality & Clause type Transfer Learning Pretrain on WikiText Train on Legal text User Workflow Interactive UI Human augmentation Start End
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LANGUAGE MODEL PRIMED ON OUR CONTRACTS
Gramener Technology will be…. 1. Gramener Technology will be… the sole and exclusive owner of Gramener ’s Confidential Information and the Project Plan is for the sole purpose of exploring the possibility of Data Analytics , Visualization and Consulting Services . xxbos This Master Services Agreement ( “ Agreement ” ) is made on 16th February , 2015 ( “ Effective Date ” ) xxbos The Software Services and Maintenance Services Guidelines will be provided by the Client. 2. Gramener Technology will be… a company incorporated under the provisions of the Companies Act , 1956 or having its registered office at Plot No.9 / 2 , 2nd Floor , Sy . No.64 , HUDA Techno Enclave , Phase – II , Madhapur , Hyderabad - 500081 , Telangana , India ( “ Gramener ” ) , ( " Vendor " ) and the place of supply to Client ( hereinafter referred to as " the Receiving Party " ).
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DEMO
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TAKEAWAYS
Acquire right Data Structure & Clean Data Plan for labelling Factor business dynamics Augment with human inputs Build into workflow Sensitize on accuracy Plan for refresh
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HUMAN + AI
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Machines will partner and cooperate with humans rather than become mankind’s biggest enemy.
- Jack Ma, Founder of Alibaba
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@kesaritweets gramener.com @kesari
Presentation deck available at
gkesari.com/LawAI
Thank You!