『The Tech Savvy Lawyer』のカバーアート

The Tech Savvy Lawyer

The Tech Savvy Lawyer

著者: Michael D.J. Eisenberg
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The Tech Savvy Lawyer interviews Judges, Lawyers, and other professionals discussing utilizing technology in the practice of law. It may springboard an idea and help you in your own pursuit of the business we call "practicing law". Please join us for interesting conversations enjoyable at any tech skill level!© ℗ 2020 Michael D.J. Eisenberg 政治・政府
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  • 🎙️Ep. #137 - Family Online Safety, COPPA 2.0, and AI Chatbots: What Every Lawyer Needs to Know 👩‍⚖️📱
    2026/05/26
    My next guest is Andrew Zach, Senior Policy Counsel at the Family Online Safety Institute (FOSI), a Washington, DC–based nonprofit focused on making the online world safer for kids and families through policy, research, digital parenting resources, and industry best practices. Andrew and I dive into how lawyers in any practice area—family law, criminal, corporate, or solo—can build family-centered online safety into their tech stack, from law practice management systems and client portals to AI chatbots, social media, and messaging tools. We unpack COPPA and the coming "COPPA 2.0," emerging age assurance laws, parental responsibility online, and what bar associations should prioritize in CLE programming so lawyers can use technology responsibly while supporting parents and caregivers. Join Andrew and me as we discuss the following three questions and more! ⚖️💻 What are the top three practical steps every lawyer should take to bake in family‑centered online safety when designing client‑facing tech, websites, portals, intake forms, messaging, and social media?What are the top three technology tools or configurations law firms should implement to better protect children and teens who may be affected by legal technology, whether they are direct clients in a family matter or simply sharing devices with adult clients?If you were advising bar associations and practice‑area leaders, what would be the top three CLE or policy priorities to ensure lawyers responsibly use AI, client portals, and other digital tools while supporting parents and caregivers in keeping families safe online? In our conversation, we cover the following ⏱️ 00:00 – Welcoming Andrew and his current tech setup: MacBook Pro, external monitor, iPhones, and wired Bose headphones 🎧01:00 – What is FOSI and how it works across policy, digital parenting, and industry best practices to keep families safer online 🌐02:00 – COPPA basics: verifiable parental consent for under‑13 data, why COPPA is dated, and the patchwork of state privacy laws filling the federal gap 📜03:00 – California privacy leadership, international regimes (like Europe), and why the US needs a comprehensive data privacy law with limits on collection, use, storage, and sale of personal data 🧩04:00 – HIPAA, SOC 2, agentic AI chatbots on legal websites, and why notice, consent, and data minimization matter for law firms adopting AI‑driven intake and support tools 🤖05:00 – Data minimization as a safeguard when storage or breaches go wrong; retention and disclosure issues in worst‑case scenarios 📂05:30 – Handling sensitive images in legal practice (family photos, abuse evidence) and why state‑by‑state rules make it hard to manage online safety and data privacy consistently 🧾06:00 – Why a stronger federal law is needed, and what COPPA 2.0 (Children and Teens Online Privacy Protection Act) could change, including raising the age of digital consent and protecting teens from targeted advertising 🎯07:00 – Everyday scenarios: sharing kids' photos with family, private messaging vs social media, and why limiting audience and avoiding "questionable" content is critical 👨‍👩‍👧‍👦08:00 – Why "private" Facebook accounts with many friends still are not private enough for potentially risky images and what safer sharing looks like 🔒09:00 – Keeping audiences limited in litigation and family law contexts while complying with legal guidelines for highly sensitive evidence 📁10:00 – Defining age assurance vs age verification, and how tools like facial age estimation, IDs, and self‑declaration fit into online safety compliance 🧑‍💻11:00 – International and US examples: UK social media age checks, Australia's age assurance trials, and Texas cases on adult sites and app‑store‑level verification ⚖️12:00 – Free Speech Coalition v. Paxton upholding age verification for adult sites versus the App Store Accountability Act's broader mandate and why it was enjoined 🏛️13:00 – Financial harm to parents from kids' unsupervised app purchases and concerns about access to "harmful content" through apps and social media 💳14:00 – Is there such a thing as "age insurance"? Exploring liability, coverage, and why Andrew is not aware of a product like that 🧾15:00 – Apple vs Facebook on data tracking: long terms of service, Apple's "Ask App Not to Track" pop‑up, and "arms race" messaging around personalization and privacy 📲16:00 – Communicating data practices clearly to users and kids; age‑appropriate disclosures and the role of legislation in requiring plain‑language privacy notices 🧠17:00 – "Kids' accounts" on platforms like Instagram, retrofitting protections vs safety by design, and what private‑by‑default, constrained communication can look like for teens 🧒18:00 – Culture of responsibility: six entities in online safety (industry, policymakers, law enforcement,...
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    33 分
  • Ep. #136: How Law Firms Can Actually Use AI: Practical Intake, Document, and Workflow Automation with Hamid Kohan
    2026/05/12
    My next guest is Hamid Kohan, founder of LegalSoft and LawPractice.ai, and one of the most practical voices on applying AI inside real-world law firms.🧠 He joins me to break down how firms can move beyond the "we've done it this way for 40 years" mindset, modernize their tech stack, and start using AI today without taking on unnecessary risk. Join Hamid and me as we discuss the following three questions and more! What are the top three ways law firms can integrate AI using solutions like LegalSoft and LawPractice.ai into their intake, case management, and document workflows to improve efficiency and accuracy?From your work directly with law firms, what are the top three challenges lawyers face in adopting AI, and how can they overcome them to modernize their practice?Looking ahead, what are the top three emerging technologies beyond AI that attorneys should start exploring today to stay competitive in the legal industry? In our conversation, we cover the following 00:00 – Welcoming Hamid and overview of his tech-heavy environment00:30 – Why his team is 90% Mac while he stays on PC and Android01:10 – Running a pure cloud and SaaS setup with no true desktop environment02:00 – Treating devices as "Uber" to the web and why local power matters less02:30 – Hardware choices: HP PC, massive Samsung monitors, and 60+ browser tabs as a to‑do list03:30 – Working across 12 entities and using tabs to monitor departments and initiatives04:00 – Living in Google Chrome and managing resource usage for heavy browser workflows04:40 – Chrome extensions Hamid relies on: Adobe, malware protection, McAfee, offline document tools05:20 – Why he uses Chrome's built-in password manager05:40 – Android Samsung smartphone and keeping mobile simple06:00 – Question 1: top three ways to integrate AI into intake, case management, and document workflows06:20 – How legal is "stuck in the past" and why Hamid saw law firms as a scaling opportunity07:10 – From CRMs and workflows to KPIs: the pre‑AI foundation for scaling law firms07:40 – The "sky dropped" moment when AI hit the legal industry08:10 – Vendor noise, "Me Too AI," and why vertical, single‑purpose AI tools overwhelm firms08:50 – Why multi-solution AI platforms (like LawPractice.ai) will ultimately win09:20 – Why firms must start using AI now instead of waiting for perfection09:50 – Where lawyers should start with AI: document collection as a low‑risk entry point10:30 – Using AI to automate document requests via SMS, email, and calls11:00 – AI document summary that checks whether a client sent the correct document11:40 – Why AI collection and summaries are "risk-free" compared to AI drafting12:10 – Using AI for document chronologies and conservative workloads12:40 – Explaining LegalSoft: global virtual staffing for law firms across eight countries13:30 – How virtual legal staff can cut overhead by up to 75% for firms14:20 – Why Hamid launched LawPractice.ai to AI‑enable both law firms and LegalSoft's 4,000 professionals15:10 – Question 2: the top three challenges lawyers face when adopting AI15:30 – Challenge 1: finding the right AI tool in a crowded, noisy market16:00 – Challenge 2: underestimating implementation, training, and real‑world usage16:20 – Case example: an employment firm that changed its view of AI after proper training17:10 – Challenge 3: signing long-term AI contracts before proper testing17:30 – Why firms should insist on "try before you buy" pilot periods18:00 – Making AI usage mandatory to avoid adoption resistance inside the firm18:40 – Parallels with CRMs like Clio, Filevine, and CasePeer and partial user adoption19:20 – How poor CRM data entry disrupts the entire legal workflow20:00 – Question 3: "beyond AI" tech and why Hamid says it's "AI, AI, AI" for now20:30 – The real three "emerging tech" priorities: selecting, implementing, and integrating AI21:00 – Why locking into long-term tech contracts is risky in a fast-moving AI landscape21:30 – The trap of attractive multi‑year discounts and what firms should watch for22:00 – Where listeners can find Hamid and book a one‑on‑one through LegalSoft Resources Connect with Hamid Website: LegalSoft – legalsoft.com 🌐Website: LawPractice.ai – lawpractice.ai 🤖LinkedIn: Hamid Kohan (personal profile) - https://www.linkedin.com/in/hamid-kohan-0367276/ 🔗LinkedIn: LegalSoft company page - https://www.linkedin.com/in/hamid-kohan-0367276/ 🔗 Mentioned in the episode How to Scale Your Stupid Law Firm – book page (example listing) https://www.abebooks.com/9781955242363/Scale-Stupid-Law-Firm-Kohan-1955242364/plp Hardware mentioned in the conversation Android Samsung smartphone – Samsung Galaxy phones overview https://www.samsung.com/us/mobile/phones/all-phones/HP PC laptop/desktop (Hamid's primary computer) – HP consumer laptops & desktops starting point https://www.hp.com/us-en/home.htmlSamsung monitors...
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    25 分
  • TSL Labs 🧪 Bonus: Deep Dive on our April 27, 2026, Editorial, MTC: Smart Recording, Client Secrets, and HeyPocket: What Every Lawyer Needs to Know in 2026 📱⚖️
    2026/05/01
    📌 To Busy to Read This Week's Editorial? Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this episode, we unpack how AI note takers and "always-listening" devices can quietly route client secrets to third-party vendors, why that matters under the ABA Model Rules, and how a 2026 federal decision out of the Southern District of New York turned one defendant's AI chats into discoverable evidence. Whether you are a solo practitioner, in-house counsel, or a tech-curious professional in another field, this conversation will help you balance convenience with confidentiality and avoid turning your favorite AI assistant into your biggest evidentiary risk. 👉 Before your next client meeting, listen to this episode, check out our editorial, and run your current AI tools through the checklist we outline—then subscribe and share with a colleague who is still "just trusting the app." 🎧 In our conversation, we cover the following: 00:00 – The "ambient microphone" problem: phones, smart speakers, wearables, and connected cars as a continuous surveillance layer around client conversations.01:00 – How technology competence has shifted from locking file cabinets to understanding data custody, cloud routing, and API-driven services.02:30 – What makes AI note takers like HeyPocket different from passive telemetry and why capturing the spoken "payload" changes the threat model.04:00 – The invisible "third party in the room": routing privileged audio through external AI models and the malpractice risk of default "Allow" clicks.05:30 – Applying ABA Model Rules 1.1 and 1.6 to AI workflows: competence, confidentiality, and "reasonable efforts" in a world of automated transcription.07:00 – Risk-based analysis from ABA Formal Opinions 477R and 498: weighing sensitivity, likelihood of disclosure, and available safeguards before using AI.08:30 – Why secretly recording clients or opponents with AI tools can implicate Rule 8.4(c), even in one‑party consent jurisdictions.10:00 – Inside United States v. Heppner (SDNY 2026): how public generative AI platforms destroyed privilege and work-product protections for a criminal defendant.12:00 – How AI training and tokenization work, why "military‑grade encryption" does not save privilege if terms of service allow internal data use.14:00 – Treating every AI note taker like an outsourced e‑discovery vendor: NDAs, retention policies, security audits, and data destruction timelines.16:00 – Practical minimization strategies: defaulting to no recording, segmenting AI-generated content by matter, and restricting access via role‑based controls.17:30 – Establishing bright-line "no‑AI" categories (criminal defense, internal investigations, sensitive family/immigration, high‑value trade secrets).18:30 – Counseling clients not to "prep their case" with public chatbots after Heppner and why this is now part of competent representation.19:30 – Building a simple vendor-vetting checklist for law firms and professional practices adopting AI note takers.20:00 – Looking ahead: when failure to use secure, vetted AI may itself become a competence issue due to inefficiency and overbilling.21:00 – Rethinking privilege in a world where an algorithmic "third party" is always in the room and devices are never truly off RESOURCES Mentioned in the episode ABA Formal Opinion 477R – "Securing Communication of Protected Client Information" – https://www.americanbar.org/products/ecd/chapter/348777154/ABA Formal Opinion 498 – "Virtual Practice" – https://www.americanbar.org/content/dam/aba/administrative/professional_responsibility/ethics-opinions/aba-formal-opinion-498.pdfABA Model Rules of Professional Conduct – https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conducPocket / HeyPocket AI note-taking platform – https://heypocket.com/United States v. Heppner, S.D.N.Y. 2026 – https://storage.courtlistener.com/recap/gov.uscourts.nysd.652138/gov.uscourts.nysd.652138.27.0.pdfHardware mentioned in the conversation
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    23 分
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