AI Tools for Practicing Lawyers

Ron Drescher
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AI Tools for Practicing Lawyers delivers practical, no-nonsense guidance on how attorneys can use artificial intelligence tools in their law practices — right now. This podcast is for practicing lawyers who want real-world answers, not hype. Each episode focuses on clear, understandable explanations of AI tools that can help attorneys work more efficiently, communicate more effectively, and make better business decisions — without requiring technical expertise or coding knowledge. We cover topics such as: • Using AI responsibly and ethically in legal practice • Drafting, research, summarization, and document review tools • Client communication and intake automation • Practice management efficiencies • Emerging AI platforms relevant to law firms • Real examples attorneys can apply immediately Whether you are a solo practitioner, small-firm attorney, or part of a larger practice, this podcast is designed to help you understand what AI can — and cannot — do for lawyers today. No futurism. No speculation. Just practical tools for practicing lawyers. Hosted by Ron Drescher

  1. 10 hr ago

    Episode 019 Bankruptcy Meets The AI Revolution

    Show Notes Most bankruptcy lawyers still don't know what their own firm actually makes each month. Jenny Doling built a revenue dashboard in Claude to find out — and then kept going, building analyzer skills for pay stubs, tax returns, bank statements, and Chapter 13 objections that her staff now runs without her. If a nationally recognized bankruptcy attorney and NACBA's incoming president is running her practice this way, what's the excuse for everyone else? In this episode: Jenny Doling's path from paralegal to bankruptcy attorney to NACBA president-elect, and how she got hooked on consumer bankruptcy work back in 2004The scale of the current bankruptcy surge — commercial and individual filings both up sharply since 2022 — and what firms without systems riskWhy Jenny moved her practice from ChatGPT to Claude, and how she uses Claude skills, projects, and Cowork day to dayThe analyzer stack she built: pay stub analyzer, document renamer, bill analyzer, tax return analyzer, and bank statement analyzerHer Chapter 13 Opposition Builder skill — loaded with trustee objections, Collier on Bankruptcy material, docket reports, and key case lawConfidentiality practices: a closed Claude Team environment, a written office AI policy, and PII lockdowns before staff touch any toolWhy Jenny separates time saved from work-product elevation, and argues the second is the real benefit of AIClient-facing AI disclosures in her fee agreements, and why she avoids Zoom's built-in AI transcription specificallyA frank take on legal tech vendor Glade versus incumbents like Clio, and why responsiveness matters more than market shareThis week's Season 2 build step: organizing the firm knowledge assets identified last week, tiered by Flintstones, Simpsons, and Jetsons lawyersWe also discuss: Case law and citation practices for Chapter 13 objections, including Hamilton v. LanningRecording practices — why "team record" doesn't mean "team Zoom record"AI transcription and notetaking tools, including Whisper, Granola, and wearable recordersNACBA's upcoming AI-focused conference programming in Orlando and MauiA Practice Signal segment on a solo PI lawyer's shrinking case volume and how Jenny would advise him to diversifyKey Takeaway Jenny Doling isn't impressive because she uses AI. She's impressive because she treats her analyzer skills as infrastructure — quality control built in, confidentiality locked down before staff ever touch a tool, and her name still on every pleading that goes out the door. That's the difference between dabbling and running a practice. This one's for the Simpsons lawyer wondering how far a solo or small firm can actually take this. It gives Flintstones lawyers permission to start small, and it gives Jetsons lawyers something sharper to aim for — the difference between an old-school Jetsons practice and what Jenny calls "AI Jetsons." Mentioned in This Episode NACBA (National Association of Consumer Bankruptcy Attorneys)Claude (skills, projects, artifacts, Cowork)ChatGPTBest Case DesktopJubileeNext ChapterSharePoint / OneDriveClioGladeTara SalinasMatt McCuneinfo@drescherlaw.com

    54 min

  2. 2 Jul

    Episode 018: Season 2, the $75 Consult and the Frankenstein Stack

    Show Notes Episode 018 | Season 2 Premiere | Guest: Jennifer Grondahl Lee Season 1 taught you how to use AI. Season 2 is going to be harder. The question isn't whether to adopt AI anymore — it's whether your firm's knowledge is organized enough for AI to actually use. When almost every hand in a room full of lawyers goes up to confirm they're using AI, the era of "should I?" is over. What comes next requires something most small firm lawyers haven't done: build the knowledge infrastructure that makes AI work for your practice, not just anyone's. In this episode: Ron announces the shift from Season 1 (learning AI) to Season 2 (teaching AI your firm's knowledge and systems)Why the Flintstones/Simpsons/Jetsons framework needs to evolve as AI adoption spreads across the professionJen Grondahl Lee on the trap of the Frankenstein Stack — why firms should design their workflow first, then pick the toolsThe case for charging for consultations — and why free consults are really just sales pitchesHow niching down and turning clients away can actually accelerate a bankruptcy practiceThe FSJ-level homework assignment: Flintstones find your 10 best forms, Simpsons list your 10 most common client questions, Jetsons map your 10 most important firm systemsAI court orders and the problem of courts overreacting to bad lawyering — not bad AIThe contradiction hidden in a 3-part judicial AI order: disclose AI use, verify citations — and certify the document wasn't produced by AIWe also discuss: Jen's AI-DR blog post — "copy pasta" AI content and how to train your tools to sound like you, not like everyone elseHeather naming her ChatGPT "Bosley" and why the reference fitsClaude vs. ChatGPT for brainstorming — and why power users play them off each otherThe AI hiring test: give applicants an unhappy client email and watch whether they improve the AI's draft or just paste itJen's 1,000-hours-saved estimate and how she calculated itBankruptcy Toolbox, Rebel Roundtable, and Jen's course Building a Bankruptcy Practice from Start to FinishKey Takeaway Most lawyers using AI are still using it the way they used Google — as a tool they query, not a system they've trained. The difference between a Simpsons lawyer and a Jetsons lawyer isn't which tools they use. It's whether they've done the unglamorous work of documenting what their firm actually knows. This episode is the on-ramp. The homework isn't hard — find your best forms, write down your most common client questions, name your most important systems. But most Flintstones and Simpsons lawyers haven't done any of it. That's what Season 2 is about. Mentioned in This Episode: Jen Grondahl Lee — Lawyers Success Network Bankruptcy Toolbox — membership community for bankruptcy attorneys Upcoming Events: https://lawyersuccessnetwork.com/eventsRebel Roundtable — Friday morning sessions with Jen File Bankruptcy and Get Rich — Ron's early lead magnet bookFinancial Recovery for Single Moms — Ron's targeted marketing bookJen's AI;DR blog postChatGPT (OpenAI)Claude (Anthropic)Claude CodeGemini (Google)Glade AI — bankruptcy-specific AI platformBest Case — bankruptcy case management software with AI document collector GrammarlyMaryland Legal SummitAnthropic learning resources Skilljarinfo@drescherlaw.com

    46 min

  3. 25 Jun

    Episode 017 Training AI to Think Like Your Practice

    Show Notes What are you actually doing with AI — and does it work? Ron and Heather put their tools down long enough to talk about what they've been building with them. This isn't a roundup of tools you might try. It's an inside look at two practitioners who have spent serious hours creating AI-powered workflows for their own legal and legal-adjacent businesses — and what those projects revealed about where AI is actually useful for law firms right now. In this episode: Heather's report from the Maryland Legal Summit — how attorney AI adoption shifted dramatically in a single year, and what the fear conversation looks like nowWhy hallucination is more than a citation problem — the 21 ways AI can corrupt a legal brief, from wrong standards of proof to mutated judicial languageHeather's 11-module Bankruptcy Paralegal Course, built with AI, including a Claude Code-built floating chatbot trained on the course contentHow Heather's paralegal team uses Gemini inside Google Sheets to auto-generate and schedule weekly client status reports — eliminating a manual step entirelyRon's markdown workflow system for podcast post-production — built in Claude, portable to any AI environmentRon's Case Assessment Pack: a deep-dive workflow that turns a client intake recording into a preliminary liquidation analysis, exemption review, and client-ready deliverableThis week's Practice Signal — a 9th-year BigLaw associate terrified about making partner and how AI could be the rainmaking engine he hasn't consideredThe FSJ breakdown for capturing firm knowledge — what Flintstones, Simpsons, and Jetsons lawyers each need to do right now to prepare for the agentic AI eraWe also discuss: OWLL, the recording app Ron just downloaded — and why he thinks lawyers should be recording everythingOtter.ai as the baseline for meeting intelligence, and how Ron's workflow pack goes furtherThe difference between using AI as a Google machine versus as a strategic collaboratorWhy opposing counsel — not the filing attorney — is catching most hallucinated citations right nowHarvey and Legora showing up at the Maryland Legal Summit — and who's actually using themKey Takeaway AI doesn't magically understand your practice. It inherits whatever you've ingested into it. That's the core lesson from everything Ron and Heather describe — the tools work because they were loaded with domain knowledge, firm context, and real workflow logic. Without that, you get a very confident machine that doesn't know what it doesn't know. For Flintstones lawyers, the move is simple: start documenting. Write down what you do. Create checklists. Capture the firm knowledge that currently lives in your head. Simpsons lawyers need to organize that knowledge — standardize file names, define workflows, build taxonomies. Jetsons lawyers are ready to connect the systems, build repositories, and create governance. The future belongs to firms that treat data as infrastructure. Where you start matters less than whether you start. Mentioned in This Episode: Maryland Legal Summit / Maryland State Bar AssociationClaude (Anthropic)Claude CodeChatGPT (OpenAI)Gemini (Google) — including Google Sheets integrationMicrosoft CopilotHarveyLegoraOtter.aiOWLL (recording app)BusinessGPTBenchSimAI (Chris Ryan) Foundation AIReddit (Practice Signal source)Cromwell case — hallucinated citation example Heather's Bankruptcy Paralegal Course (Propel AI)Ron's AI Builds: Ground Zero episode with the Free Motion to Extend WorkflowGoogle Workspace (Sheets, Drive, Docs)info@drescherlaw.com

    44 min

  4. 18 Jun

    Episode 016: Can an AI Judge Train You Better Than the Real One?

    What if you could lose your case to an AI judge tonight, so you don't lose it to a real one tomorrow? For generations, lawyers learned advocacy the hard way: draft the brief, argue the motion, get knocked down by the judge, learn why you were wrong. Litigation partner Chris Ryan built a different path. BenchSim AI lets lawyers upload their brief and opposing counsel's brief, then argue out loud in real time against an AI judge who pushes back, interrupts, and grades the performance. The question this episode keeps circling: is this the future of how lawyers get their reps in, or is the courtroom apprenticeship something AI can never actually replace? In this episode: Why COVID permanently reduced young lawyers' opportunities to argue in front of a real judge, and what that "reps problem" means for the next generation of litigatorsHow Chris built BenchSim AI as a litigation partner with no modern coding background, using "vibe coding" to go from idea to working product in about six weeksWhat vibe coding actually is, and why it's the same process as building a custom GPT, Gem, or Claude skillHow BenchSim works: upload your brief and opposing counsel's brief, choose a judge temperament (quiet, neutral, or hot bench), and argue out loudWhy BenchSim deliberately skips video rendering of the judge to avoid latency that would kill the realism of rapid-fire argumentHow the AI judge develops counterpoints from the opposing brief and is programmed to interrupt when an advocate is talking in circlesThe SOC 2 certification process BenchSim is going through before marketing to law firms, and why that matters for adoptionWhether AI will actually save lawyers time, including the "airport test" framework for evaluating whether a tool is worth the overheadUsing AI as an adversary instead of a cheerleader — prompting it to argue against your own complaint or brief before opposing counsel doesThe Flintstones/Simpsons/Jetsons breakdown of how to stress-test a brief at every level of AI adoptionWe also discuss: Chris's recent "wow moment" using AI to play defense counsel against his own drafted complaintHeather's experience having Claude Code build software overnight while she sleepsWhether AI simulation training could expand beyond litigation into bar exam prep and other legal trainingA Practice Signal segment on a deeply inappropriate mentorship moment a young associate experienced, and whether AI could have helped an older partner communicate the underlying (legitimate) concern without the inappropriate framingChris's plans for BenchSim's feature roadmap, including potential expansion into opening statements and direct examination practiceKey Takeaway Availability is not authority, and a simulation is not a verdict. BenchSim doesn't tell a lawyer whether they'll win or lose; it tells them where their argument is weak before a real judge finds out for them. That distinction matters. The value isn't in the AI replacing judgment, it's in creating reps that don't exist anymore because courtrooms don't generate them the way they used to. This episode lands differently depending on where you sit on the FSJ spectrum. A Flintstones lawyer can start by asking any AI tool to summarize their argument and flag weaknesses. A Simpsons lawyer can go further, prompting AI to act as opposing counsel and attack the brief. A Jetsons lawyer is already running full bench simulations, treating AI as an adversary that prepares them for the real fight rather than a cheerleader that tells them what they want to hear. Mentioned in This Episode: BenchSim AI (benchsimai.com)Taft (Taft Stettinius & Hollister)HarveyLegoraAnthropic Claude / Claude CodeChatGPTReddit (Practice Signal segment source)MPRE (Multistate Professional Responsibility Examination)info@drescherlaw.com

    45 min

  5. 12 Jun ·  Bonus

    AI Builds: Ground Zero

    Are "build an AI agent in 20 minutes" ads lying to you?  Ron spent way more than 12 hours trying to find out. Ron set out to build the simplest possible AI legal workflow — a motion to extend time to file bankruptcy schedules — and discovered that "easy" and "AI-assisted" don't always mean the same thing. In this episode: Why Ron decided to test AI workflow-building himself instead of buying a courseThe 10-step workflow development cycle ChatGPT walked him through, from defining objectives to platform optimizationTesting the same workflow across Claude, ChatGPT, Gemini, and CopilotWhy Google Docs + Gemini unexpectedly produced the best output of any platform testedWhy Copilot's deep integration with Word actually made it harder to use, not easierChatGPT's pushback on regenerating an entire document — and the hospital-acquired-infection analogy Ron uses to explain AI "drift"The lesson that mature AI users isolate and fix specific problems instead of regenerating whole documentsWhy Ron avoided using Claude for this project due to a prior usage-limit experience on the Pro tierThe "airport test" from Ron's prior Field Note, Confessions of an AI Hallucinator, and how it applies to building workflowsThe free "Motion to Extend Lite" workflow Ron is releasing publiclyWe also discuss: How persistent AI workflows (skills, agents, StrongSuit-style systems) represent a brand-new product categoryThe decision points Ron had to map for an "omnibus" extension workflow covering any deadline typeQuality control checks built into the workflow — missing dates, missing deadlines, missing cause languageHow Ron accidentally discovered this entire approach through his own podcast post-production processWhy bare-bones bankruptcy petitions create the exact problem this workflow solvesThe risk of inconsistent details (names, dates, captions) when reusing forms across cases — and how AI reduces that riskKey Takeaway Building a workflow that actually works — across platforms, with minimal user friction, passing real-world testing — is a fundamentally different job than writing a clever prompt. The platform you choose matters as much as what you ask it to do, and the AI tool that's "supposed" to be best for the job (Copilot in Word, Claude for heavy drafting) isn't always the one that delivers. For Flintstones lawyers, this episode is proof that a usable AI workflow can exist without them building anything — Ron's free download does the work. Simpsons lawyers will recognize the platform-testing process as the real work of AI adoption. And Jetsons lawyers will appreciate the granular lesson on regeneration risk and isolating fixes rather than reprocessing entire documents. Mentioned in This Episode ChatGPTClaude (Pro tier)Google Gemini (Google Docs integration, Enterprise tier)Microsoft CopilotStrongSuitConfessions of an AI Hallucinator (prior Field Note episode — airport test)Team Accelerator (Ron's bankruptcy training course)Motion to Extend Lite (free workflow download)info@drescherlaw.com

    24 min

  6. 8 Jun ·  Bonus

    Field Note: Can Apple Intelligence Pass the File Cabinet Test?

    SHOW NOTES NOTE: The File Cabinet Test is used to determine whether AI can discern the contents of every file in a connected drive. The star of Apple's WWDC 2026? Apple Intelligence. Apple announced how Apple Intelligence is being incorporated into Siri. This prompts us to ask: Can Apple Intelligence finally make workflow automation accessible to ordinary lawyers? In this episode: Why Apple's AI strategy isn't about building the smartest model — it's about removing frictionHow natural language Shortcuts could lower the barrier to automation for lawyers who've never written a line of codeWhether iCloud can finally compete with Google Drive and OneDrive as an AI-connected file systemApple's private cloud compute architecture and why privacy is not the same as privilegeWhy the real story from WWDC 2026 may be the democratization of workflow automationWe also discuss: Ron's history as an Apple fanboy since the 1980s — and why this keynote actually got his attentionSteve Jobs' "best camera" line and what it means for AI adoptionRon's existing Claude-based podcast workflow as a real-world example of what natural language Shortcuts could replicateThe fact that none of these features have shipped yet — these are observations, not a reviewSiri's rebranding struggle and Apple's decision to stick with the name despite years of ridiculeKey Takeaway The biggest AI story from WWDC 2026 isn't that Apple built the smartest AI. It's that Apple appears to be trying to make AI invisible — woven directly into the operating system rather than siloed in a separate app or chatbot (although there will be a stand-alone chat style Siri app). If natural language Shortcuts works the way it was demonstrated, lawyers may be able to build automation workflows simply by describing what they want in plain English. That's not a Jetsons story. That's a Simpsons story — and maybe even a Flintstones story. Prompting is useful, but workflows are transformational. If Apple pulls this off, the gap between lawyers who automate and lawyers who don't may finally start to close. Mentioned in This Episode: Apple IntelligenceWWDC 2026Shortcuts (Apple)SiriiCloudFinderGemini (Google)ClaudeChatGPTGoogle DriveOneDrive / MicrosoftApple Private Cloud ComputeThe File Cabinet Test (from Episode 007 FolderMania)info@drescherlaw.com

    9 min

  7. 5 Jun

    Episode 015: The Last Flintstones Lawyer

    Most conversations about AI and legal writing focus on the tools. This one focuses on the lawyers. What does a Flintstones lawyer actually do on Monday morning after they've finally decided to move? What does a Simpsons lawyer do when they discover their favorite tool isn't safe for client data? And what happens when the question isn't whether to adopt AI — but whether you'll survive professionally if you don't? Ron sits down with co-host Heather Gardner and Maryland attorney and legal educator Donna Mandl to work through the questions practicing lawyers are actually asking — the ones that never make it into the marketing decks. In this episode: Why a Flintstones lawyer's first move should be calling their Westlaw or Lexis rep — not downloading a new appWhy Heather recommends Enterprise ChatGPT as the right entry point for lawyers handling client informationThe "Claude as cleanup hitter" workflow: how to keep confidential work in a secure tool and bring the output to Claude for draftingGemini's hidden advantage — and why most lawyers are using it wrongThe hallucination problem everyone's talking about — and why fake citations aren't the real crisisThe subtler risk: cases that exist but don't say what AI claims they say, and standards of review that get quietly swappedDonna's paralegal education pivot — from policing AI use to training students to audit what AI producesRon's prediction: by end of this decade, there will be no more Flintstones-level lawyersWe also discuss: What Heather and Donna are presenting at the Maryland State Bar Association's Legal Summit panel — Ethics, Accuracy, and Efficiency: AI in Legal WritingWhy judges are getting frustrated with both pro se AI filings and inaccurate AI-assisted briefs from lawyersRon's Claude experiment: feeding Claude its own 21 hallucination types and asking how many the new model would fix (14 of 21 — 7 remain hard)The FSJ-client alignment theory: Flintstones clients are disappearing, and Flintstones lawyers will have to followFSJ-segmented follow recommendations: Dan Block (Flintstones), Ruben Hassid (Simpsons), Rich Rodgers (Jetsons)The Practice Signal segment: can AI help a burned-out workers' comp lawyer find a new career?Key Takeaway The governance question for legal AI isn't philosophical anymore — it's a billing-line decision. Whether it's a $1,400-a-year Claude Enterprise commitment or a workflow choice about which tool sees client data, the lawyers who figure out the tiers will outpace the ones still treating a free-tier tool as a research platform. Availability is not authority — and neither is a consumer account. Flintstones lawyers who hear this episode have a clear Monday-morning move. Simpsons lawyers who've fallen for Claude but balked at the enterprise price now have a workaround. And Jetsons lawyers will recognize the gap is widening faster than most of their colleagues realize. Heather said it best: prompting got us from Flintstones to Simpsons. Learning to think and collaborate with AI is what takes you to Jetsons. Mentioned in This Episode Heather Gardner — co-host, AI Tools for Practicing LawyersDonna Mandl — Maryland attorney; legal educator, Community College of Baltimore County (LinkedIn)Shaun Koenig — Maryland attorney, MSBA Legal Summit panelist (LinkedIn)Maryland State Bar Association Legal Summit — Ethics, Accuracy, and Efficiency: AI in Legal Writing panelChatGPT (OpenAI) — free tier and Enterprise tierClaude (Anthropic) — Pro tier and Enterprise tierClaude Code (Anthropic)HarveyGoogle Gemini — consumer and Enterprise ($36/month) tiersWestlaw (Thomson Reuters)LexisNexisFastcaseRich Rodgers — prior guest, Episode 014; founder, StartupTechLaw (LinkedIn)Dave Block — legal AI commentator; recommended follow for Flintstones lawyers (LinkedIn)Ruben Hassid — Claude evangelist; recommended follow for Simpsons lawyers (LinkedIn)Field Note: 21 Ways AI Can Hallucinate in Your Legal BriefField Note: Tiers of the Clown Mezu v. Mezu, Maryland Appellate Court No. 361 (2025)info@drescherlaw.com

    38 min

  8. 1 Jun ·  Bonus

    Field Note: Tiers Of The Clown

    The question everyone is asking is wrong. When lawyers debate which AI tier is "smarter," they're arguing about a label — and labels end analysis. The better question isn't which tier is best. It's what capabilities am I actually buying, and whether those capabilities match the task in front of you. Ron's File Cabinet Test experiments proved this the hard way: Enterprise-tier AI passed tests his Plus account failed. But when it came time to brainstorm a podcast episode, he went right back to Plus. Not because it was smarter. Because it knew him. In this episode: Why "smarter" is a label that ends analysis instead of starting itThe six capability categories that actually differentiate AI tiers: context window, retrieval, usage limits, connectors, memory, and governanceHow Ron's File Cabinet Test revealed a material performance gap between Plus and Enterprise environmentsWhy the best AI tier is the one whose capabilities and accumulated context match the task — not the one with the highest price pointWhy governance and capability are different things, and why you need bothThe framework for evaluating AI tiers that survives even when pricing, features, and model names changeWe also discuss: How a Reddit thread about AI tiers triggered Ron's thinking on this episodeWhy Ron returns to his Plus account for podcast brainstorming even after seeing Enterprise outperform itThe companion handout for this episode (and why it may already be partially obsolete)How ChatGPT, Claude, and Gemini package the same core capabilities in different waysThe analogy of the context window as the size of an AI's deskKey Takeaway Stop asking which AI is smartest. Start asking which capabilities matter for the task at hand. Retrieval isn't reasoning. Governance isn't performance. Context is accumulated over time, and a tool that knows your practice may outperform a more capable tool that doesn't. The best tier is the one aligned with what you're actually trying to do. For Flintstones lawyers, this episode removes the paralysis. You don't have to figure out which AI won. For Simpsons lawyers who've already paid for something, this is the framework for deciding whether they bought the right tier — or just the most expensive one. Jetsons lawyers will recognize the capability taxonomy immediately and probably already live by it. Mentioned in This Episode ChatGPT (OpenAI)Claude (Anthropic)Gemini (Google)Heather Gardner (co-host, Enterprise environment)File Cabinet Test (Ron's benchmark framework)Folder Mania experimentsThree-Legged Stool (compliance framework — see Field Note: Building the Stool — How to Implement the AI Discovery Standards)Flintstones/Simpsons/Jetsons FrameworkCompanion handout (available at lawyeraitoolkit.com/deliverables)Redditinfo@drescherlaw.com

    10 min
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About

AI Tools for Practicing Lawyers delivers practical, no-nonsense guidance on how attorneys can use artificial intelligence tools in their law practices — right now. This podcast is for practicing lawyers who want real-world answers, not hype. Each episode focuses on clear, understandable explanations of AI tools that can help attorneys work more efficiently, communicate more effectively, and make better business decisions — without requiring technical expertise or coding knowledge. We cover topics such as: • Using AI responsibly and ethically in legal practice • Drafting, research, summarization, and document review tools • Client communication and intake automation • Practice management efficiencies • Emerging AI platforms relevant to law firms • Real examples attorneys can apply immediately Whether you are a solo practitioner, small-firm attorney, or part of a larger practice, this podcast is designed to help you understand what AI can — and cannot — do for lawyers today. No futurism. No speculation. Just practical tools for practicing lawyers. Hosted by Ron Drescher

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