The Foundation of AI and Machine Learning - What They Are (and Aren't) and How to Tell the Difference

Level: Advanced
Runtime: 120 minutes
Recorded Date: January 29, 2018
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9:30 am - 11:30 am
  • What are AI and ML?
  • Evolution of AI and ML
  • Purposes and benefits
  • Debunking myths to develop a framework for success
  • Ethical Considerations and other constraints
  • Deep dive on real-world examples
Runtime: 2 hours
Recorded: January 29, 2018


Perhaps nothing causes greater anxiety than the idea that technology may cause our work to disappear, or be devalued. And nothing may cause greater excitement that the idea that the worst parts of our jobs will be done with a touch of a button.

Work that previously took several hundred human hours can now be done in a matter of minutes by an ‘intelligent’ algorithm. However, though the future of legal work powered by machine learning is theoretically here, it is not yet widely distributed. The arguments both for and against the wider adoption of these tools abound: ‘legal services will always need human involvement’; ‘we’re not really using AI, we’re using intelligent automation’; and of course ‘your job will be outsourced to a robot’. Somewhere between these statements lies the truth – that AI can be a powerful tool to help us reduce grunt work, improve accuracy and, potentially – make us better at what we do.

In this program, the workshop will focus on the framework to place legal services artificial Intelligence in the context of technology innovation and machine learning. Understanding how AI is built and what work it can do, and what AI needs to work – and why that might be the key to understanding its impact on the legal profession and future jobs and insights on where we are in the growth curve of AI applications and how commercialization in legal and other industries might proceed.

This program was recorded on January 29th, 2018.

Provided By



Shawnna Hoffman

Cognitive Legal Co-Leader, Associate Partner, Cognitive & Analytics, Global CoC
IBM Watson

Ms. Hoffman serves as the Global Co-Leader for the IBM Cognitive Legal Practice driving global strategy and execution across clients, legal markets and internal groups. She was certified as an IBM Thought Leader in the capability of Consulting in 2015 and has a patent pending for Detecting Clusters and Relationships in Large Data Sets (END920160377US1). She also co-authored the book “eDiscovery Plain & Simple” (ISBN-13:97814394079) and is the Co-Founder of Women in eDiscovery. In 2017, Ms. Hoffman became an Advisory Board Member for Integra Ledger and became a pioneering member of the Global Legal Blockchain Consortium and the MIT Legal Forum for AI & Blockchain.

As her give back to her local community, Ms. Hoffman co-founded and serves on the Board of the Community Hope Center of Osceola County which has helped over 20,000 homeless families since its inception. The Community Hope Center has received multiple awards and most recently was presented with the Bob Allen Award from the Walt Disney Company and the Good Neighbor Award from Bank of America for the fight against homelessness.

Her specialties include: Cognitive, Artificial Intelligence, Blockchain, Smart Contracts, Watson, Big Data & Analytics, Box, MobileFirst, Business Strategy, eDiscovery, Computer Forensics, Records Management, Information Governance, Defensible Disposal, Litigation Readiness, Brexit, Consulting, Negotiations, Sales, and Diversity in the Workplace.

Brian Kuhn

Co-Founder and Leader of IBM Watson Legal Solutions

Brian Kuhn is the Co-Founder and Co-Leader of the Cognitive Legal practice and creator of the IBM Outside Counsel Insights solution. As a former practicing financial services attorney, Brian is responsible for defining and growing the Cognitive Legal brand worldwide. Together with Shawnna Hoffman, Brian is also responsible for defining the intersection of legal artificial intelligence and blockchain for law for IBM.

Brian speaks frequently at legal industry events in North America, Europe and Asia. He has lead over 100 workshops with legal clients to help define where cognitive capabilities intersect with client needs.

Hampton Coley

Director of Practice Technology and Discovery Services
Canon Business Process Services, Inc.

Hampton is the Director of Practice Technology and Discovery Services at Canon Business Process Services, Inc since 2014.

Catherine Krow

Founder & CEO
Digitory Legal

Catherine Krow is the Founder and CEO of Digitory Legal, a cloud-based legal budgeting and resource management platform for lawyers and legal departments. Before founding Digitory Legal, Catherine practiced law for 17 years at top-tier firms, most recently as a Litigation Partner at Orrick, Herrington & Sutcliffe. Catherine left legal practice to build a software platform that would elevate the legal profession. Digitory Legal's solutions are designed to promote profitability and predictability for both lawyers and clients and to build trust by setting clear expectations around costs.

Kevin Fumai

Senior Managing Counsel
Oracle Corporation

Kevin oversees the legal function of the Marketing Cloud and Communications and Retail Global Business Units at Oracle. He is responsible for all corporate and commercial activities, including acquisitions, strategic alliances, partnerships, and the spectrum of technology transactions (software, cloud/SaaS, hardware, consulting, outsourcing). He also partners with executive management and key stakeholders to support the product development lifecycle, monitor and mitigate organizational risks, ensure compliance with legal and regulatory requirements worldwide (including data privacy), and resolve disputes with customers, partners, and vendors.

Kevin has focused on the telecommunications, media, technology, and financial services industries during his career. He has significant knowledge of the challenges and opportunities faced by companies in these heavily regulated and highly competitive industries, including in new and emerging markets. In addition, his tenure at Oracle has provided in-depth insight into disruptive technologies such as cloud computing, big data/analytics, e-commerce, and social media, as well as the data privacy and security issues implicated by their rapid adoption.

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