AI AND THE PRACTICE OF LAW Larry Bridgesmith

AI AND THE PRACTICE OF LAW Larry Bridgesmith, J. D. , Jay Deragon & Adel El. Messiry, Ph. D.

Your Presenters Larry Bridgesmith, JD Lawyer Legal Technologist Professor of Law Jay Deragon AI Strategist Data Analyst Serial Entrepreneur Adel El. Messiry, Ph. D. Computer Engineer Data Scientist Serial Entrepreneur

CURRENT STATE OF ARTIFICIAL INTELLIGENCE

AI Enhances Legal Practice ◦ Due Diligence - Litigators perform due diligence with the help of AI tools to uncover background information, contract review, legal research and electronic discovery. ◦ Prediction technology: software generates results that forecast litigation outcomes. ◦ Legal analytics – Lawyers use data points from past case law, win/loss rates and a judge’s history to be used to analyze trends and patterns. ◦ Document automation – Lawyers use software templates to create filled out documents based on data input. ◦ Intellectual property – AI tools guide lawyers in analyzing large IP portfolios and draw insights from the content. ◦ Electronic billing – Lawyers’ billable hours are computed and billed automatically

AI Analytics In Law Fuels ◦ Disruption 34 AI applications replace much of the manual work traditional to Legal Practices ◦ AI applications are enhanced by analytics through Machine Learning ◦ AI drives the cost of legal services down while increasing their value with analytics. ◦ AI analytics reveal new value creation opportunities for legal teams. ◦ AI ushers in new business models revealed by AI Analytics ◦ Hourly billing is being replaced by valuebased billing for the value as determined by the client.

The Digitization of Legal Practices “AI and other technologies are enabling machines to take on many of the tasks that many used to think required human lawyers and that’s not plateauing. It seems to be happening at quite a rate. ” Richard Susskind

ABA Resolution 112 August 12, 2019

AI Top Misleading Myths 1. AI is going to replace all jobs 2. Only low-skilled and manual workers will be replaced by AI and automation 3. Super-intelligent computers will become better than humans at doing anything we can do 4. Artificial intelligence will quickly overtake and outpace human intelligence 5. AI will lead to the destruction of enslavement of the human race by superior robotic beings

LEVELS OF ARTIFICIAL INTELLIGENCE Today ANI NARROW Completes and solves one problem AGI GENERAL As intelligent as a human brain ASI SUPER More intelligent than all humans combined

FOUR INDUSTRIAL REVOLUTIONS

DATA LAKES OR POWER GENERATORS

What are the legal data lakes to benefit from AI generators? JUDICIAL DECISIONS SETTLEMENT HISTORY COSTS AND TIME TO RESOLUTION CULTURAL NORMS MARKET ANALYSIS GLOBAL TRENDS LANGUAGE ECONOMIC ANALYSIS PARENTING TRENDS SOCIAL MEDIA PUBLIC RECORDS MORE? TRANSLATION

It Is Not The Dress, It Is The Model! When thinking about Machine Learning: • Data is the starting point. • Features are aspects of the data that make sense. • The model is the goal.

What Does the Answer Look Like? Binary Classification Model Multiclass Classification Model Regression Model

Training The Model ◦ Clean the Data: The data needs to have low noise ratio. Understand the features. ◦ Split the Data: ◦ Training ◦ Testing ◦ Validating ◦ Pick the Algorithm: Many algorithms exist. Which one is better for your domain?

Visualizing an AI model’s blind spots A new tool reveals what AI models leave out in recreating a scene. Here, a GAN, (generative adversarial network) has dropped the pair of newlyweds from its reconstruction (right) of the photo it was asked to draw (left).

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