Afleveringen
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In this comprehensive demonstration, E. Aaron Cartwright III Esq., CEO of Case Create, introduces the AI-powered legal platform, currently available at CaseCrafter.net but soon migrating to the new domain, Case-Create.com. Designed to streamline the workflow for legal professionals, Case Create offers tools that automate document drafting, organize discovery, and manage evidence, enabling efficient, quick, and precise legal document creation. Aaron walks through each major feature, from case setup and petitions to responses, discovery requests, and appellate briefs, illustrating how the platform can save hours of work for attorneys, law students, and other legal practitioners. Case Create provides a practical, modern solution to reduce time and resources spent on tedious legal tasks, making it an invaluable tool for todayâs legal professionals.Chapters for Case-Create Demonstration by Aaron:1. Introduction to Case-Create (0:00-1:07) - Introduction of the platform and goals. - Explanation of the transition from Case Crafter to Case-Create.2. Creating and Managing Cases (1:07-2:18) - Walkthrough of case setup: entering case details, assigning case numbers, tracking status.3. Petition Section & Automated Document Generation (2:18-3:32) - Demonstration of petition templates and quick generation of discovery control levels, jurisdiction, and venue sections.4. Causes of Action & Sectional Customization (3:32-4:42) - Exploration of cause-of-action options, pre-populated elements, and quick selection for various legal issues.5. Answer Templates & Affirmative Defenses (4:42-5:59) - Explanation of answer templates, denial options, affirmative defenses, and verified denials.6. Discovery Requests Database (6:19-7:57) - Overview of discovery request options and goal to expand database with over 5,000 questions for discovery.7. Responses to Discovery Requests & Objections (7:57-11:30) - Demonstration of responding to discovery requests with pre-loaded objections and legal/factual basis requirements.8. Subpoena and Deposition Notice Generation (11:30-14:52) - Introduction to subpoenas with fill-in-the-blank formats for quick creation and deposition request options.9. Evidence Management and Document Labeling (14:52-19:51) - PDF converter tool for labeling exhibits and organizing files for easier evidence tracking.10. Jury Instruction Generator (19:51-22:46) - Explanation of jury instruction generation by case type, currently limited by state-specific formatting requirements.11. Practice Checklists for Case Preparation (23:15-26:28) - Customizable checklists for various litigation tasks and types of cases to ensure thorough preparation.12. Easter Egg Generators for Common Legal Documents (26:28-28:28) - "Lazy lawyer" tools for quick document creation like affidavits and notices with fill-in-the-blank formats.13. Document Crafter: Demand Letters, Motions & Discovery (28:28-38:51) - AI-powered tools for generating demand letters, motions, and discovery requests with customized inputs.14. Summary Judgment & Motion to Compel Drafting (38:51-49:47) - Steps for creating traditional and no-evidence summary judgment motions as well as motion-to-compel drafts.15. Case-Createâs Appellate Brief Drafter (50:13-58:30) - Demonstration of drafting appellate briefs using major premise, minor premise, and structured counterarguments.16. Impact on Law Students and Non-Lawyer Users (58:30-1:09:36) - Discussion on how Case-Create can benefit law students, legal training considerations, and accessibility for non-lawyers.17. Case-Create Accessibility, Training, and Pricing (1:09:36-1:13:16) - Explanation of terms of service, user training requirements, pricing, and access to the platform.18. Final Remarks on Case-Createâs Development and Future (1:13:16-End) - Reflection on Case-Createâs journey, its unique value, and future developments for the platform.
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As part of my exploration of the intersection between AI and the legal industry, I had the pleasure of speaking with E. Aaron Cartwright III, Esq. - an attorney and techpreneur. He is the CEO and President of CaseCrafter.net (soon transitioning to Case-Create.com), a groundbreaking platform introducing AI innovation to the legal field.
We dive into his unique journeyâwhy, as a seasoned attorney, he chose to step into the world of AI and build a tech company aimed at transforming legal work.
Aaron shares insights on how AI is reshaping the legal industry, from speeding up complex document drafting to reducing client costs and enhancing litigation through predictive analytics. We also explore the ethical and security challenges AI brings to law, its impact on client expenses, and Aaronâs vision for AIâs future role in every corner of the legal field.
Connect with Aaron through his email: [email protected]
Connect with Tolulope Awoyomi on LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/CHAPTERS:
00:00 - Intro Snippet
02:02 - Why AI as an Attorney?(Why did he, as an attorney, decide to enter the AI industry?)08:53 - Impact of AI on the Legal Field
How AI helps attorneys draft complex documents faster Potential cost reductions for clients14:25 - AI in Litigation(The role and safety of AI in aiding litigation without legal risk)
18:56 - Legal Liability in AI(Who is responsible when an AI tool provides inaccurate information in legal contexts?)
22:01 - Predictive Analytics and AI's Influence on Courts and Client Costs
34:09 - AI's Impact on Litigation Costs (Cost savings for clients and potential billing alternatives like flat fees and value-based models)
40:43 - AI in Alternative Dispute Resolution (ADR)
45:01 - AI's Role in Understanding Complex Regulatory Frameworks
48:32 - Security and Ethical Issues in Legal AI
52:53 - Outro
53:08 - Final Thoughts(A look at the widespread adoption of AI in the legal field)57:03 - Conclusion
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Zijn er afleveringen die ontbreken?
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In this insightful episode, I (Tolulope Awoyomi) sit down with Lusine and Trung, two AI professionals from the National Fair Housing Alliance, to discuss the critical intersection of AI governance and engineering. Lusine, an AI governance researcher, and Trung, an AI engineer, share their collaborative journey developing Textrify, a tool designed to distinguish between AI-generated and human content.
Together, we dive into essential questions around bias, transparency, ethical AI, and the role of interdisciplinary collaboration in responsible AI development. As AI grows increasingly sophisticated, our conversation addresses both the opportunities and challenges of creating AI that is both innovative and accountable.CHAPTERS:00:00 Snippet01:21 Textrify: Bridging Policy and Engineering in AI06:21 The Role of AI Detection Tools in Accountability10:56 The 'Cat and Mouse' Race in AI Detection13:51 Balancing Innovation and Regulation21:36 De-biasing AI: Technical and Policy Approaches27:31 Importance of Interdisciplinary Collaboration in AI32:36 Ethics, Public Fear, and AIâs Future41:36 Exciting Prospects in AI and Policy46:56 Closing Thoughts and Key TakeawaysLetâs stay connected! Here are our LinkedIn profiles if youâd like to get in touch:Tolulope Awoyomi
Lusine Petrosyan
Trung Lam
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In this solo episode dedicated to teaching people about AI, I explore two key subfields of AI: machine learning and deep learning.
I explain these concepts and provide practical application.
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đïž Guest: W. Curtis Preston
Visit W. Curtis Preston's website: https://s2data.com/
CHAPTERS
00:00 - Prelude 00:38 - Introduction 01:40 - Why the blend of Technical Expertise and Legal Knowledge? 03:35 - Initiated 3 legal cases as a non-attorney and prevailed 06:38 - Law, Tech and AI: Impact and influence of AI in the legal industry now and in the future 09:40 - In court: Tendering of evidence and the rise of sophisticated deep fake technologies - Measures to avoid fake videos and images from being tendered in court 14:59 - Differentiating between AI-generated content and authentic material 16:12 - Explaining tech behind legal processes to lawyers in language they understand 23:10 - Should legal professionals working in technical fields get education on technical concepts? 24:52 - Intersection between AI and the data/cyber recovery industry 26:10 - Ethical challenges 28:31 - The future in the next 10 years: AI, discovery, law, and data 34:02 - Concluding thoughts 34:52 - Outro -
This solo episode is a continuation of my solo episode series dedicated to helping you understand AI better.
In this episode, I focus on the different types of artificial intelligence, breaking down the key categories and explaining their distinctions in a simple, approachable way.
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00:00 - Introduction/short clip
00:27 - Interlude
01:47 - Stakeholder engagement in AI development process
- The need for more diverse voices
- Importance of representative data and testing
09:22 - AI/ML resembling humans
- AI as mirrors reflecting historic biases
- Example: Hallucinations
11:09 - Bias and assumptions vs. discrimination
18:30 - Ethical challenges for AI safety
- Emerging field: difficulty in identifying all ethical issues
- Ethical considerations
23:40 - Ethical values versus innovation: which should take precedence?
26:31 - Can teams with different thinking modes work together?
30:44 - Importance of AI education/literacy
- Extent of education needed
- Potential for mandatory AI literacy
- Impact across sectors (education, health, etc.)
32:42 - AI's impact on employment
- Workplace use of AI
- People bringing AI tools to work
37:00 - Imagining the future with AI
42:18 - Risks of personalized algorithms
43:42 - Preparing for upcoming AI risks
44:42 - An AI model to differentiate human-written vs. AI-generated content
50:19 - Conclusion
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Often, we focus on the question "What is AI?" đ€
In this podcast episode, I take a different approach by debunking three common misconceptions about artificial intelligence (AI).
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In this insightful podcast episode, we have the privilege of learning from Dr. Michael Akinwumi, Chief Responsible AI Officer, whose work in the field is truly inspirational. This episode covers a wide range of topics related to Responsible AI and is the first part of a two-part series.
Timeline:
0:00 Podcast intro
0:35 Introduction of guest
1:32 Guest introduces himself
2:15 Discussion about NFHA and involvement in eliminating algorithmic bias and discrimination
5:17 Five principles of Responsible AI
8:27 Explainability vs. AI models as black boxes
10:40 Components of building AI systems
12:49 Specialization areas in AI
14:08 Mathematics in AI
16:56 AI systems as socio-technical systems
18:13 Linking PhD in Applied Mathematics to tech
20:20 Peeling the layers of AI
22:24 Encouragement for Nigerians and preparing for the future of work
27:36 Outro
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Am I a futurist⊠maybe.
In this episode, I spoke about 5 predictions of the future with AI:
00:49 - Number 1 Prediction 03:46 - Number 2 Prediction 04:48 - Number 3 Prediction 05:25 - Number 4 Prediction 07:48 - Number 5 Prediction 09:23 - Concluding Thoughts and Advice -
In this engaging episode of "Everything AI and Law," I sit down with Brian Beckcom, a multifaceted expert who embodies the convergence of AI, law, computer science, and philosophy. Join us for a thought-provoking fireside chat.
Key Topics Discussed:
Maintaining the Human Touch in the Age of AI: Explore how the integration of AI in various sectors challenges our perception of human interaction and what measures can be taken to preserve the essential human element. Challenges and Ethical Considerations of AI in Law: We discuss the ethical dilemmas and challenges that arise from the use of AI in legal practices. Adapting to the Changing Landscape of AI in the Legal Profession: Gain valuable perspectives on how legal professionals can adapt to the rapid advancements in AI, the skills needed for the future, and the impact on traditional legal roles.Tune in for a comprehensive and insightful conversation that bridges the gap between technology, law, and philosophy, offering listeners a unique view into the future of AI and its profound impact on the legal profession.
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Welcome to an exciting episode of "Somewhat of My AI Clone" that shows the lines between human and artificial intelligence are fast becoming blurred! The truth is, AI capabilities will only get better. In this special episode, I, Tolulope Awoyomi, sit down with my AI version to delve into my personal journey and professional experiences at the intersection of law and technology.
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đ Don't forget to follow! If you enjoyed this conversation, give us a five star rating and review. Myself and my AI version would love to hear from you!
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đą Follow me on social media for more insights and updates:
Twitter: @TolulopeAwoyomi LinkedIn: Tolulope Awoyomi-------------------
đ§ Listen on:
Spotify Apple Podcasts Google Podcasts -
This episode delves into three of the numerous ongoing legal cases at the forefront of AI and copyright law. As these landmark cases unfold, they are set to establish critical precedents that could shape the future interaction between AI technologies and intellectual property rights. We provide an in-depth analysis of the key motions and rulings so far, offering valuable insights into the legal strategies and implications. This episode is ideal for legal professionals, tech enthusiasts, and anyone interested in the dynamic interplay between emerging technologies and copyright laws.
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01:04 Intro
01:40 About CalypsoAI (Neilâs Company)
04:09 How secure is AI?
05:16 Who builds AI Ethics
06:09 Drawing the line between safeguarding AI versus sttifling innovation
09:32 Deepfakes and replicable human voices
12:44 Differentiating deepfakes from real videos
15:30 An imagery of the future with AI technologies
18:22 Artificial General Intelligence (AGI)
20:46 5 pieces of advice on avoiding job displacement and unemployment.
22:59 Legal Issues associated with AI
23:32 Advice to lawyers
25:38 Advice to AI Enthusiasts or prospective AI Experts
26:28 Closing Remarks
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00:00 Understanding Deepfakes and their Implications
05:01 Mitigations to Deepfakes
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00:00 Introduction and Background
03:12 Legal Issues with AI Technology
06:36 Regulating AI: Balancing Innovation and Ethics
09:47 Concerns about AI Taking Jobs
13:30 AIâs Impact on the Legal Profession and Education
16:09 Would AI affect the paycheck of lawyers?
18:09 Final Thoughts
19:56 Closing remarks
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00:00 Introduction
00:26 EU AI Act
03:05 First UN Resolution on AI
03:56 Elon Muskâs Lawsuit against OpenAI
05:30 SaulLM-7B: A pioneering Large Language Model for Law
07:15 ChatGPT in Robot Form: Figure 01
08:31 Devin: The Worldâs 1st AI Software Engineer
09:11 My Thoughts
11:12 Conclusion and Closing remarks
[Check the podcast on "EUROPEAN UNION (EU) AI Act" if interested in an-indepth overview]
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00:00 Introduction
00:16 Classification of AI By Risk Levels
00:49 Prohibited AI Systems
01:36 High-Risk AI Systems
03:06 General Purpose AI (GPAI)
03:58 Obligations and Applicability
05:12 Exempted Areas
05:57 Implementation Timeline
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00:00 Podcast Aim and Episode Introduction
00:41 Legal issues associated with AI
00:45 Data & AI
01:26 Copyright, Intellectual Property, and Trademark
02:21 Privacy
03:03 Trade secret
03:52 Discrimination and bias
04:39 Transparency, fairness, and accountability
05:26 Negligence
05:57 Conflict of laws
06:19 Further Exploration (refer to my paper on the same topic available on Google)
06:36 Subscribe & Follow for future episodes update
