Published by Jared Correia
"Adventures In Legal Tech" explores effective solutions to unique technology issues. Each episode provides actionable steps to solve everyday problems lawyers encounter. It's kind of like "This Old House" — but with way more law.
Listen on Apple Podcasts38 min
Executive Summary On this episode of Adventures in Legal Tech, Jared Correia talks with Phillip Greer, CEO of Best Lawyers, about how AI is rewriting the rules of legal search and firm operations. Greer breaks down the real differences between SEO, AEO, and GEO, then explains how he turned his own company into a shop full of vibe coders. It's a practical look at getting found online and getting comfortable with AI at the same time. Key Takeaways SEO isn't dead. It's the foundation that feeds AEO and GEO, the practices that get law firms found inside AI search tools and chatbots. Quality, well-structured content and citations from reputable third-party sites matter more than backlink farming ever did. Legal consumers across every generation are shifting from typed search terms to conversations with AI tools, often without realizing it. Building an AI-literate firm starts with a safe, governed environment where non-technical staff can experiment without touching client data. Start small. Pick something fun, not a client matter, to learn how an AI tool handles data before you roll anything out firmwide. Links and Resources Red Cave Law Firm Consulting: redcavelegal.com Best Lawyers: bestlawyers.com Keywords AEO, GEO, AI search optimization, legal SEO, AI Overview, ChatGPT for lawyers, shadow AI, vibe coding, AI-literate law firm, Best Lawyers, legal directory marketing, law firm content strategy, AI governance, legal tech podcast, Jared Correia, Phillip Greer, structured data for lawyers, AI search engines, law firm AI adoption, legal marketing strategy Episode Highlights [00:02:29 - 00:04:31] Greer lays out his top SEO pitch: keep doing SEO, treat it as the foundation feeding AIO. [00:04:56 - 00:08:38] Greer defines SEO, AEO, and GEO and explains why all three belong in a firm's strategy. [00:09:32 - 00:11:59] Greer traces shadow AI from a guilty secret to standard practice at nearly every firm. [00:12:56 - 00:16:39] Greer argues authenticity beats generic AI-written content and backlink farming for standing out. [00:27:48 - 00:32:20] Greer describes building the Best Lawyers internal app store that turned employees into vibe coders. [00:32:48 - 00:36:13] Greer explains how he handled data governance and change fears before rolling AI out company-wide. [00:36:20 - 00:39:08] Greer's advice: start vibe coding with something fun and low-stakes before touching firm data.
34 min
Summary Law firms are drowning in scattered knowledge, and AI can't fix disorganized data on its own. Rachel Shields Williams, Director of AI and Knowledge Management at Bass, Berry & Sims and President of the Legal Marketing Association, joins Jared Correia to explain why structured data has to come before any AI rollout, and how firms can build the human relationships that make AI adoption safe. Key Takeaways AI can't structure your data for you. A firm's data represents its relationships and intellectual property, and only humans understand that context well enough to organize it. Treat AI as the "middle layer" between two things you control: your structured data and your firm's unique expertise. You can't control LLM pricing or availability, so keep those other two pieces solid. Shadow AI risk isn't just about lawyers pasting client data into a chatbot. It also includes open-source code pulled from GitHub that can carry hidden backdoors. Change management works better in small, steady steps. A firm that gets 1% better most weeks of the year ends up roughly 48% better, without blowing up anyone's workflow. A new "translator" role is emerging in law firms: someone who can move between lawyers, IT, and business leadership to explain why data structure matters and what AI can realistically deliver. Links and Resources Red Cave Law Firm Consulting: redcavelegal.com Bass, Berry & Sims: bassberry.com Legal Marketing Association: legalmarketing.org Keywords knowledge management, legal AI, AI in law firms, shadow AI, structured data, law firm data management, legal technology, Bass Berry Sims, Legal Marketing Association, LMA, change management, law firm innovation, AI governance, legal knowledge management, AI as junior associate, law firm technology adoption, data governance law firm, AI risk management, legal marketing, law firm AI strategy Episode Highlights [00:03:00 - 00:04:00] Rachel introduces her "Fibber McGee's closet" metaphor for law firm data chaos. [00:06:00 - 00:06:30] Rachel says if AI could structure firm data on its own, she'd be retired. [00:07:00 - 00:08:00] Rachel frames AI as the uncontrollable "middle layer" between structured data and firm expertise. [00:12:00 - 00:12:30] Rachel warns that open-source code from bad actors is a bigger shadow AI risk than most firms realize. [00:13:30 - 00:14:00] Rachel compares vetting AI use to letting a niece use a safety knife instead of a chef's knife. [00:17:00 - 00:17:30] Rachel argues a firm that's 1% better most weeks ends the year roughly 48% better. [00:27:30 - 00:28:00] Rachel describes the emerging "translator" role bridging lawyers, IT, and business needs. [00:31:00 - 00:31:30] Jared and Rachel joke about AI's "Uber Black" pricing phase before costs rise.
35 min
Summary "Attorney Matt Damon" needs to draft a demand letter, but the facts he needs are scattered across medical records, deposition transcripts, case notes, and email threads. Jared Correia brings in Claude Simpson, Vice President of Client Operations at Smart Advocate, to unpack why that scattered data problem is nearly universal in legal practice. Claude explains that documents, not buzzwords, still run the practice of law, and that AI only works well when it is pulling from a structured case management system. They cover client portals, the real costs of switching platforms, data ownership disputes with cloud vendors, and how to measure ROI beyond time saved. Key Takeaways AI is only as good as the data feeding it, and case management software is what gives that data structure. Client portals are underused by most firms, even though clients already expect 24/7 self-service access from their bank and doctor. Centralizing case data beats stacking disconnected point solutions, even when integration with existing tools is required. Switching case management systems is harder than adopting one for the first time, and change management is the real obstacle. ROI on case management software shows up in turnaround time, error rates, client satisfaction, and staff retention, not just hours saved. About the Guest Claude Simpson is the Vice President of Client Operations at Smart Advocate, a case management platform built for law firms. He has been with the company since 2013, bringing a background as a practicing trial attorney, including medical malpractice litigation, along with early technology experience dating back to building one of the first local area networks at the New York State Supreme Court's Appellate Division in the 1980s. Links and Resources Red Cave Law Firm Consulting: redcavelegal.com Smart Advocate: smartadvocate.com Keywords case management software, legal technology, law firm AI, Smart Advocate, legal case management system, AI in law firms, client portal, law firm client experience, legal tech ROI, law firm technology adoption, cloud case management, law firm data security, legal ethics technology, change management law firm, law firm staff retention, demand letter drafting, personal injury case management, law firm KPI, legal AI adoption, shadow AI Episode Highlights [00:03:03 - 00:03:45] Claude Simpson explains that despite AI hype, documents, physical or electronic, still control the practice of law. [00:05:37 - 00:06:04] Jared and Claude agree AI needs structured data, and case management software provides that backbone. [00:10:38 - 00:11:24] Claude Simpson makes the case for client portals: clients expect 24/7 access the same way they get it from their bank or doctor. [00:13:14 - 00:14:03] Claude Simpson warns that disjointed systems create frustration and increase the risk of missed information. [00:16:53 - 00:17:34] Claude Simpson on convincing a 30-year veteran attorney to switch systems: show them they can be even more successful. [00:26:53 - 00:27:44] Claude Simpson flags a real risk: what happens if a firm and its cloud host end up in a contract dispute over data access. [00:29:19 - 00:30:31] Claude Simpson breaks down ROI beyond time saved: turnaround, error rate, client satisfaction, and staff retention. [00:33:00 - 00:34:00] Claude Simpson predicts AI bots listening in on firm discussions to suggest case values in real time.
32 min
Summary Jared Correia sits down with Luis Vargas Rivera, head of litigation at Embedded Counsel, to unpack a problem most solo and small firm litigators never get to solve: a real moot before a hearing. Luis built a Claude skill called Adversarial Review that simulates a three-judge panel, each with a different mindset, to attack his motions before a judge ever does. From there, the conversation covers AI accountability and Rule 11, Luis's move from big law to a boutique firm, why marketing to referral sources beats paid ad spend, and how cross-practice litigation experience wins cases other lawyers can't see. They close on a shared obsession with a concept album about The Odyssey. Key Takeaways A Claude skill can run a three-persona Adversarial Review panel, a fact-focused judge, a procedural judge, and a pragmatist judge, that pressure tests a motion before oral argument. Citation tools like Lexis and Westlaw confirm your sources are accurate; they don't tell you where your argument is weakest. That's a different job. AI hallucinations are an accountability problem, not a technology problem. Rule 11 already requires lawyers to investigate what they sign, AI just removes the excuse for skipping that step. Marketing to other lawyers as referral sources can outperform paid ad spend aimed directly at clients, especially in crowded practice areas. Cross-practice litigation experience, moving ideas from civil litigation into a probate case, for example, can produce solutions opposing counsel doesn't see coming. Links and Resources Red Cave Law Firm Consulting: redcavelegal.com Embedded Counsel: embeddedcounsel.com Keywords Claude skills for lawyers, AI legal tech podcast, adversarial review AI skill, moot court AI simulation, AI argument testing for litigators, AI judge personas, legal AI ethics, Rule 11 AI hallucinations, boutique law firm AI, small firm litigation technology, AI referral marketing for lawyers, LinkedIn marketing for attorneys, cross-practice litigation strategy, probate litigation technology, AI generated evidence, deepfake chain of custody, Claude versus Westlaw, legal tech for solo practitioners, AI in law school, shadow AI in law firms Episode Highlights [00:02:10 - 00:04:00] Luis explains the Adversarial Review Claude skill and its three AI judge personas. [00:05:00 - 00:05:50] Luis contrasts a custom Claude skill with citation-checking tools like Lexis and Westlaw. [00:12:00 - 00:12:30] Luis estimates judges ask him questions his AI panel already raised 20 to 40 percent of the time. [00:13:10 - 00:14:05] Jared and Luis agree AI hallucinations are a lawyer accountability problem, not a technology problem. [00:14:10 - 00:16:00] Luis explains why he left big law for a boutique litigation practice at Embedded Counsel. [00:17:00 - 00:18:10] Luis lays out his thesis on marketing to referral sources instead of paid client acquisition. [00:21:00 - 00:22:20] Luis tells the story behind his $75,000 retainer LinkedIn hook. [00:25:30 - 00:27:00] Luis describes a cross-practice motion strategy that won a probate intervention in 15 minutes. [00:29:00 - 00:31:00] Luis and Jared discuss AI-generated evidence and chain-of-custody verification for deepfakes.
29 min
Summary Law firms and legal departments sit on mountains of electronically stored information, and most have no real system for dealing with it. Warren Parrino, Regional Vice President of Solution Sales at TrustPoint.One, has a clear starting point: email threading, date filters, and search terms. From there, an early case assessment environment can cut review costs before a single document hits a reviewer's queue. Warren and Jared also cover modern attachments, audio and video redaction, and when AI actually earns its place in the workflow. The bottom line: AI only pays off after you have already done the basics. Crawl, walk, then run. About the Guest Warren Parrino is Regional Vice President of Solution Sales at TrustPoint.One, an e-discovery and legal services company. A former practicing attorney in Birmingham, Alabama, he most recently co-led the company's project management team before moving into his current role, giving him a view from both the operational and client-facing sides of a project. He still holds his bar license, attributing that decision entirely to how hard the exam was. Key Takeaways Start with email threading, date filters, and search terms before anything else. These three basics narrow your data set before you spend a dollar on document review. Early case assessment (ECA) databases are the single most effective way to cut e-discovery costs, yet most firms skip them because they have never heard of the approach, not because of cost. Modern attachments (hyperlinked files stored in OneDrive or SharePoint rather than attached directly to email) are the biggest current landmine in discovery, though workable solutions are emerging. Audio and video redaction that once cost thousands of dollars and required a production team can now be done at a desk in minutes using off-the-shelf tools. AI in e-discovery only delivers real savings after you have already cut your data set down. Throwing AI at a terabyte of raw data inflates your bill, it does not shrink it. Links and Resources TrustPoint.One: trustpoint.one Red Cave Law Firm Consulting: redcavelegal.com Keywords e-discovery, ESI, electronically stored information, early case assessment, ECA, email threading, modern attachments, hyperlinked files, data management, RelativityOne, shadow AI, legal technology, law firm data, e-discovery costs, solo practitioner, small law firm, audio video redaction, document review, TrustPoint.One, e-discovery consultant Episode Highlights [00:03:49 - 00:04:46] Warren lays out the three starting points for any firm overwhelmed by data: email threading, date filters, and search terms, in that order, before anything else. [00:05:56 - 00:08:13] Warren explains early case assessment, how it works in RelativityOne, and why communications analysis often surfaces the witness you never knew you needed. [00:08:13 - 00:09:02] The reason most firms skip ECA is not cost. It is lack of knowledge, because if cost were the issue, everyone would already be doing it. [00:09:08 - 00:10:44] Email threading today means reviewing one file instead of 15. It is not the labor-intensive process it once was, and the savings in time and cost are significant. [00:11:19 - 00:12:54] Modern attachments (hyperlinked files in SharePoint or OneDrive) create versioning, custodian, and association problems that traditional e-discovery workflows were not built to handle. [00:14:59 - 00:17:28] Audio and video redaction that once required a production team and thousands of dollars can now be done with off-the-shelf software at a desk. Warren shares a real transit authority case. [00:20:33 - 00:22:14] There is no minimum data threshold for engaging an e-discovery consultant. The only question is whether the hassle of managing the data yourself outweighs your willingness to deal with it. [00:24:33 - 00:28:06] AI in e-discovery is real and capable, but it only delivers savings after you have already cut the data set down. Warren describes what Relativity's AIR tools can do once the groundwork is done.
27 min
Summary Alan Alda runs his own firm and figured AI tools would make content creation easy. He was half right. Jared Correia sits down with David Arato, founder of Lexicon Legal Content, to unpack why mass AI publishing is triggering Google penalties, what compliance risks law firms are ignoring in their marketing content, and how the rise of AI overviews is reshaping the entire game. David explains the EEAT framework, breaks down a three-level compliance review process for AI-generated content, and outlines what law firms should actually be doing to get cited in AI search results. The short version: less slop, more substance, and a human with a law degree reading everything before it goes live. About the Guest David Arato is the founder of Lexicon Legal Content, a content agency that has served law firms and legal marketing agencies for 15 years. A law school graduate who got his start writing legal blog posts for extra money while studying for the bar in 2009, David built Lexicon into a white-label content partner for major legal marketing agencies before pivoting to serve law firms directly. He is also a former professional cellist, which explains the hustle. Find him at lexiconlegalcontent.com . Key Takeaways "Scaled content abuse" triggers Google penalties. Publishing AI content at volume without editorial oversight risks manual penalties and lost search visibility overnight. 78% of legal searches now trigger AI overviews, pushing organic results below the fold and increasing zero-click searches that never land on your website. AI tools do not know your state bar's advertising rules. Terms like "expert," "specialist," and "best attorney" can trigger bar complaints without a human review step. The EEAT framework (Expertise, Experience, Authority, Trust) holds law firm websites to a higher standard than most sites because they fall under "your money or your life" (YMYL) categories. Trust is the pillar. Great content still ranks. Adding genuinely new information to the conversation is what earns Google's attention and gets your firm cited in AI overviews, ChatGPT, and Perplexity. Links and Resources Lexicon Legal Content: lexiconlegalcontent.com Red Cave Law Firm Consulting: redcavelegal.com Keywords AI-generated legal content, law firm SEO, Google AI overviews, legal content marketing, EEAT framework, YMYL websites, bar advertising rules, scaled content abuse, legal blog content, zero-click searches, AI content penalties, law firm website content, Google search quality rater guidelines, legal marketing compliance, content freshness SEO, Lexicon Legal Content, AI overviews for lawyers, law firm marketing strategy, shadow AI, law firm blog strategy Episode Highlights [00:03:06 - 00:04:01] David explains why the rise of AI tools actually increased demand for quality legal content, not killed it [00:06:10 - 00:07:07] The problem with "scaled content abuse" and why mass AI publishing tanks law firm sites [00:07:57 - 00:09:09] The compliance and malpractice risks hiding in AI-generated marketing content [00:19:04 - 00:20:43] 78% of legal searches trigger AI overviews, and what that means for your rankings [00:21:23 - 00:22:09] Traffic declines and the rise of zero-click searches reducing referrals to law firm websites [00:23:11 - 00:24:51] Three-level compliance review: catching what AI tools miss in legal marketing content [00:26:02 - 00:27:58] EEAT and YMYL explained: why law firm sites face a higher content bar than most
48 min
Summary Jared Correia sits down with Sean McTigue, a partner at Bartko Pavia LLP and one of the more technically fluent attorneys in practice today. Sean unpacks how his firm navigated the leap from legal-specific AI tools to a direct enterprise deployment of Anthropic's models, and why he thinks that distinction matters a lot more than most firms realize. The conversation covers practical ground: how to use Westlaw's Quickcheck as a verification loop, why lawyers overestimate what AI will do for them on the first try, and how to find the early adopters inside a firm and turn their discoveries into firm-wide workflows. Sean also looks ahead at what AI means for the billable hour model and why the legal profession can't afford to stay in the way. About the Guest Sean McTigue is a partner at Bartko Pavia LLP in San Francisco, where he handles complex litigation with a particular focus on integrating AI into the practice of law. He has been following the development of large language models closely since GPT-4's launch and has led the firm's rollout of Anthropic for Enterprise. Sean studied philosophy at the University of Utah and earned his law degree at Berkeley Law. Key Takeaways Hallucination risk in AI outputs is a solved problem, using tools like Westlaw's Quickcheck as a verification flywheel alongside AI drafting, not a reason to avoid AI entirely. Legal-specific tools rarely add value beyond a general foundation model; the wrapper around the model matters less than most vendors claim. Direct enterprise deployment of a foundation model lets firms ride the frontier rather than being stuck on whatever model a SaaS vendor last tested. The billable hour model is under pressure, and firms that build internal AI capital now are better positioned to shift toward fixed-fee and alternative-fee arrangements. Adoption inside a firm starts with finding the heavy users, learning what they figured out, and distributing those workflows to everyone else. Links and Resources Red Cave Law Firm Consulting Bartko Pavia LLP Westlaw CoCounsel Westlaw Quickcheck - available inside your Westlaw subscription Anthropic for Enterprise Keywords AI adoption in law firms, legal AI tools, Westlaw Quickcheck, AI hallucinations legal, foundation models for lawyers, Anthropic for Enterprise, billable hours AI, legal tech vendor evaluation, Sean McTigue, Bartko Pavia, Jared Correia, Adventures in Legal Tech, CoCounsel Westlaw, AI verification legal, small firm AI, legal workflow automation, enterprise AI deployment, AI research tools lawyers, prompt engineering legal, alternative fee arrangements AI Episode Highlights [00:02:01 - 00:04:54] Sean introduces Westlaw Quickcheck as the underused verification tool that turns hallucination risk into a manageable step in the workflow. [00:05:00 - 00:07:57] Sean explains why lawyers who try AI once, find it imperfect, and dismiss it are missing the workflow question entirely. [00:08:13 - 00:09:28] The hammer-and-nail analogy: being handed a tool and told to use it without any guidance on what the full project actually looks like. [00:19:14 - 00:23:27] Sean describes the frustration of vetting legal AI vendors who can't tell you what model they're running, including an e-discovery platform using Haiku 3 on million-document reviews. [00:24:54 - 00:28:05] The case for direct foundation model deployment over legal-specific SaaS wrappers, and what you can do with a generalist model that a niche tool will never offer. [00:36:44 - 00:40:43] The future of legal billing: from the billable hour back toward fixed-fee engagements, and why firms that build AI capital now are better positioned. [00:41:50 - 00:47:23] Sean's starter recommendation: Westlaw citing references downloaded in bulk and fed to an LLM, plus why Google AI Overview is already AI whether lawyers know it or not.
26 min
SUMMARY Teo Doremus traded a litigation desk in China for a startup in San Francisco, and along the way he became convinced that the legal industry's AI moment is right now. On this episode, Teo makes the case for starting an AI-native law firm, walks through how he thinks about hallucination risk, and explains the "digital desk" concept behind Advocacy, a platform built to connect the narrative silos of litigation that have historically lived in Microsoft Word and nowhere else. Teo also shares what he got wrong about law practice, why he thinks lawyers misunderstand what AI actually does when it "helps" them, and draws the most useful analogy you will hear about what lawyers get paid for in an AI world. The pilot and the autopilot are not enemies. Neither are lawyers and AI. The question is figuring out who does what. KEY TAKEAWAYS Start building your AI-native practice now. The advantage goes to whoever gets comfortable with the technology first, not whoever waits for it to be perfect. Before deploying AI in your firm, learn what it actually is and what it is not. Understanding its fundamental limitations is your best defense against hallucinations. AI adoption in law is high on subscriptions and low on genuine daily use. Real adoption means using AI regularly enough that it changes how you work, not just having a login. Specialized legal AI tools and general AI tools are not competitors. Use both strategically depending on how much precision your task requires. The lawyer's value in an AI-assisted practice looks like the pilot who no longer holds the stick for seventeen hours: rested, prepared, and ready for whatever the automation cannot handle. WHO IS THE GUEST? Teo Doremus is the CEO and co-founder of Advocacy, a litigation-focused AI platform built around what he calls the "digital desk," a place where all the narrative silos of a case live together and AI connects them. Before founding Advocacy, Teo practiced law in China and the United States as both a litigator and a transactional attorney. He studied law in France after picking it almost by accident at 18, fell in love with it along the way, and eventually made his way to San Francisco, where a deep dive into AI convinced him the legal industry needed something that did not yet exist. Advocacy can be found at advocacy.ai. LINKS AND RESOURCES Advocacy: advocacy.ai Red Cave Law Firm Consulting: redcavelegal.com Adventures in Legal Tech Podcast: Available on Apple Podcasts, Spotify, Amazon Music, and YouTube. KEYWORDS AI-native law firm, legal AI, artificial intelligence for lawyers, AI hallucinations in law, litigation AI tools, Advocacy AI, legal tech software, law firm technology, AI adoption in legal, legal software selection, AI-powered litigation, law practice management, Red Cave Law Firm Consulting, Teo Doremus, Jared Correia, AI governance for lawyers, digital desk litigation, specialized legal AI, general AI for law firms, Adventures in Legal Tech EPISODE HIGHLIGHTS [00:02:02 - 00:02:48] Teo's immediate, unhedged answer on the AI-native firm question: do it, do it now, and do it because the technology rewards early commitment. [00:04:35 - 00:06:03] Why the hallucination conversation needs multiple angles at once, and why no single answer is going to hold. [00:06:04 - 00:06:44] What lawyers fundamentally misunderstand about AI: it does not actually understand you. When it does not know the answer, it just agrees with you. [00:10:37 - 00:11:26] Teo describes the moment AI went from a five-minute curiosity to a full obsession that changed the direction of his career. [00:13:55 - 00:14:28] The origin of the "digital desk" concept and why Microsoft Word from 1984 is still, technically, the competition. [00:21:40 - 00:23:11] The pilot analogy: if planes have flown themselves for twenty years, what exactly are pilots for? And what does that tell us about lawyers?
29 min
🧾 Episode Summary In this episode of Adventures in Legal Tech, host Jared Correia sits down with Tim Follett, CEO and co-founder of StructureFlow, to unpack one of the most overlooked yet critical challenges in legal work: structural complexity. From corporate transactions to litigation strategy, legal professionals rely heavily on understanding relationships—between entities, obligations, and flows of value. Yet, the tools used to map these structures haven't meaningfully evolved in decades. Tim introduces the concept of structural intelligence, explaining how visual models and semantic data layers can transform diagrams into powerful interfaces for both humans and machines. The conversation explores how diagrams function as "context-loading mechanisms," why AI needs structured foundations to be effective, and what the future of legal interfaces might look like—hint: think Minority Report. This episode blends legal tech, cognitive science, and AI strategy into a compelling argument: if you don't structure your data properly, AI might accelerate your work—but in the wrong direction. 🔗 Links & Resources StructureFlow: https://structureflow.co redcavelegal.com 🔑 Keywords legal tech legal innovation structural intelligence information architecture AI in law legal workflows data visualization diagramming corporate law litigation strategy knowledge management graph data RAG systems legal AI StructureFlow productivity tools legal design ⏱️ Episode Highlights 00:00–01:18 – Introduction to the podcast and the problem of structural complexity in legal work 01:18–02:09 – Why outdated tools (PowerPoint, spreadsheets) still dominate legal workflows 02:09–03:12 – Defining the problem: increasing complexity in professional and personal contexts 03:12–04:16 – Historical roots of diagramming—from early businesses to modern law firms 04:16–05:33 – Why visualizing relationships is essential to understanding structure 06:09–07:20 – What StructureFlow does and how it differs from traditional diagram tools 07:20–08:14 – The power of semantic meaning behind diagrams (data + visuals) 08:14–09:00 – Use cases across law firms, accounting, and corporate environments 10:11–11:02 – Diagrams as knowledge assets and tools for rapid context recall 15:30–16:08 – Diagrams as "context-loading mechanisms" for the human brain 16:08–17:08 – Visual processing vs. text: why diagrams accelerate understanding 17:08–18:14 – Graph structures explained and their role in representing relationships 18:14–19:22 – RAG systems and how AI retrieves and processes structured knowledge 21:01–22:09 – Why AI needs structure: "acceleration without direction" risk 24:51–26:27 – The "Minority Report" vision for the future of legal interfaces
33 min
🧠 Episode Summary In this episode of Adventures in Legal Tech, Jared Correia sits down with Jane Freedman to explore a pressing question: Can small law firms effectively use AI? The answer is a clear yes—but with nuance. Jane shares how she transitioned from cautious observer to active AI user, integrating tools like Microsoft Copilot and Litera into her daily legal workflows. From analyzing complex private equity deal documents to drafting contract provisions, AI has dramatically increased efficiency—sometimes reducing work time by up to 90%. However, the conversation makes one thing clear: AI is not a replacement for legal expertise. Instead, it functions best as a "junior associate"—powerful but requiring oversight, context, and verification. They also dive into the ripple effects of AI on billing models, client expectations, firm structure, and the future of junior lawyers. The episode ultimately reframes AI not as a threat, but as a tool that enables lawyers to work smarter, deliver more value, and deepen their strategic role. 🔗 Links & Resources redcavelegal.com Home www.redcavelegal.com 🔑 Keywords legal tech AI law firms artificial intelligence lawyers small law firms legal automation document drafting legal innovation billing models AI productivity legal workflows AI adoption law practice management legal AI tools 🎯 Episode Highlights 00:00–01:00 – Introduction to the podcast and the problem: AI adoption in small law firms 01:00–02:00 – Meet Jane Freedman and the central question: can small firms use AI? 02:00–03:30 – Jane's transition from casual AI use to professional implementation 03:30–05:30 – First real-world use case: leveraging AI in complex private equity deals 05:30–07:00 – Using AI tools like Copilot and Litera strategically 07:00–08:00 – Treating AI like a "junior associate" 08:00–09:30 – Efficiency gains: completing work in 10% of the usual time 09:30–11:30 – Jane's career journey and founding her own firm 11:30–13:00 – Building a team and scaling a legal practice 13:00–14:30 – The importance of precise prompting in AI usage 14:30–16:30 – Risks of AI: hallucinations and the need for verification 16:30–18:30 – Will AI replace junior lawyers? The structural dilemma 18:30–20:30 – Managing AI tools within a legal team 20:30–23:00 – Rethinking billing models in the age of AI 23:00–27:00 – Client behavior shifts and AI-generated legal documents 27:00–31:00 – Practical use cases: drafting, redlining, and document review
33 min
Summary In this episode of Adventures in Legal Tech, host Jared Correia sits down with Max Paterson to unpack one of the hottest trends in the industry: vibe coding. They explore how AI-assisted development is lowering the barrier to entry for building legal tools, allowing lawyers, paralegals, and non-technical professionals to actively participate in innovation. The conversation dives into the opportunities, risks, and economic shifts driven by this movement—along with practical advice for getting started. From democratizing legal tech to reshaping law firm business models, this episode provides a clear look at how AI is changing who builds legal solutions—and how fast it's happening. Links & Resources www.redcavelegal.com www.bryter.com www.vibecode.law LegalQuants Keywords vibe coding AI legal tech legal innovation no-code tools law firm automation productization legal AI workflows access to justice shadow AI legal startups legal tech trends Episode Highlights (with timestamps) 00:00–01:05 – Introduction to the podcast and its mission 01:05–02:20 – Defining vibe coding and its role in legal tech 02:20–04:00 – Why legal is primed for innovation despite being a late adopter 04:00–05:20 – Natural language as a bridge between lawyers and AI tools 05:20–07:10 – Risks of vibe coding: security, compliance, and infrastructure 07:10–08:50 – Identifying ideal use cases: repetitive, high-volume tasks 08:50–10:05 – Real-world example: lawyers experimenting with app-building 10:05–11:40 – Innovation hours inside law firms 11:40–13:00 – The rise of "shadow AI" and unsanctioned experimentation 13:00–15:00 – Max's background and entry into legal tech 15:00–18:00 – What Brighter does and how it integrates AI 18:00–20:30 – Economic shifts: productized services and new billing models 20:30–23:00 – New players entering legal tech: investors, founders, consumers 23:00–25:30 – Access-to-justice opportunities and unmet legal demand 25:30–28:00 – Best tools, communities, and mindset for vibe coding
31 min
Summary In this episode of Adventures in Legal Tech, host Jared Correia sits down with Joe Borstein, CEO and Co-founder of LexFusion, to unpack the evolution of legal technology and what's driving its rapid transformation today. They explore how law firms are finally embracing structured tech adoption—largely fueled by generative AI—and why this moment feels fundamentally different from past waves of innovation. Joe shares his journey from litigator to legal tech leader, insights on why legal tech companies are thriving, and how AI is expanding—not shrinking—the legal market. The conversation also dives into emerging trends like managed service organizations (MSOs), private equity in law, and the maturation of the legal tech buying process. Ultimately, Joe argues for a more optimistic future: one where technology enhances legal work, increases access, and creates new opportunities across the industry. Links & Resources redcavelegal.com lexfusion.com Keywords legal tech generative ai law firms innovation legal industry AI adoption legal startups lexfusion legal transformation legal services automation legal workflows legal ai tools corporate counsel legal operations future of law legal business models msos private equity law firms legal innovation trends. Episode Highlights (with timestamps) 00:00–01:03 – Introduction to the podcast and the episode's core problem: legal tech overwhelm for in-house counsel 01:03–02:20 – Framing the challenge: too many tools, not enough clarity or bandwidth 02:20–03:16 – Start with identifying pain points before choosing technology 03:50–05:45 – Joe Borstein's background: from litigator to legal tech entrepreneur 05:45–07:01 – The shift from labor-based services to tech-driven innovation 07:01–09:01 – Founding LexFusion and pivoting to advising legal tech companies 09:01–10:31 – Growth of legal tech valuations and emergence of billion-dollar companies 10:31–12:00 – Generative AI expands the total addressable market for legal services 13:12–14:22 – Law firms are finally adopting structured, mature buying processes 14:22–16:08 – Why legal tech and law firms are now partners instead of competitors 16:08–17:03 – Lower costs per task increase overall legal spending and demand 18:27–19:43 – Why AI adoption is different: it's familiar, accessible, and widely used 21:55–23:41 – What MSOs are and how they could reshape law firm structures 23:41–26:15 – The need for new business models in legal to improve satisfaction and access 28:22–30:20 – Legal Week reflections: more focus needed on innovators and builders
38 min
Episode Summary In this episode of the Adventures in Legal Tech Podcast, host Jared Correia sits down with attorney Harshita Ganesh to unpack one of the most pressing challenges in modern legal practice: how to responsibly integrate AI into law firms. Using the case of a new associate eager to implement AI in a resistant firm, the conversation explores the tension between innovation and caution. Harshita shares a practical framework based on her firm's experience, including the creation of an AI committee, slow adoption strategies, and the importance of transparency across teams and clients. The discussion goes deeper into the unintended consequences of AI adoption—especially for junior associates. From "shadow AI" usage to declining critical thinking skills, Harshita highlights the risks of over-reliance on automation and the importance of preserving foundational legal training. This episode offers a balanced perspective: AI is neither a threat nor a silver bullet. Instead, its success depends on thoughtful implementation, strong mentorship, and a commitment to ethical practice. Links & Resources redcavelegal.com Environmental, Insurance & Real Estate Defense - Boston, MA CMBG3 Law Keywords Legal AI AI in law firms Legal technology Shadow AI Law firm management Junior associate training Legal ethics AI policy Legal research tools E-discovery Work-life balance in law Legal innovation AI risk management Critical thinking decline Law firm culture Episode Highlights 00:00–00:40 – Introduction to the podcast and its mission to solve legal tech challenges 00:00:40–01:20 – The core problem: a new associate wants to implement AI in a resistant firm 01:20–02:03 – Introduction of Harshita Ganesh and her perspective on AI adoption 03:10–04:09 – The real concerns attorneys have about AI in legal workflows 05:07–06:17 – The rise of "shadow AI" and why associates use it under pressure 07:31–08:46 – Risks of AI misuse, including hallucinated cases and legal consequences 10:12–11:13 – Why transparency about AI use is currently lacking in law firms 12:14–13:20 – Examples of AI tools being vetted: Lexis AI and Everlaw 14:31–15:28 – The danger of replacing foundational legal work with AI 16:20–17:40 – The long-term risk: weaker lawyers due to over-reliance on AI 17:40–18:53 – New roles emerging in law firms (AI compliance, legal data analysts) 20:15–21:34 – The decline of critical thinking in law students 21:34–22:52 – How AI is changing learning habits and reducing information retention 24:08–25:21 – AI bias and its impact on legal reasoning 25:21–26:44 – Accountability in AI usage: lawyers remain fully responsible 28:07–29:20 – Practical use cases for AI (e.g., document review) vs. risky applications 30:33–31:33 – The role of mentorship and firm culture in responsible AI adoption 33:17–34:30 – Building trust between partners and associates 35:20–37:06 – Closing thoughts and a lighthearted discussion on favorite cities
33 min
EPISODE SUMMARY In this episode of Adventures in Legal Tech, host Jared Correia tackles one of the most persistent frustrations in modern law practice: balancing cybersecurity requirements with everyday usability. Using a fictional law firm scenario, the discussion explores how attorneys can safeguard confidential client information without sacrificing productivity or creating unnecessary workflow friction. Guest Mike Maschke, President and CEO of Sensei Enterprises, breaks down practical cybersecurity strategies tailored for law firms, explaining why resistance to security tools often stems from misunderstanding rather than actual inconvenience. The conversation covers essential topics including multi-factor authentication, encrypted communication, compliance frameworks, AI governance, change management, and emerging cybersecurity trends shaping the legal industry. Rather than presenting cybersecurity as a technical burden, the episode reframes it as a strategic business function — one that protects firms, clients, and long-term operational stability. LINKS & RESOURCES redcavelegal.com senseient.com mmaschke@senseient.com KEYWORDS Legal cybersecurity Law firm data protection Cybersecurity for lawyers Multi-factor authentication law firms Encrypted email legal practice Legal tech security compliance Law firm cybersecurity policy AI governance for law firms Legal technology risk management Cloud security law firms Zero trust security model Legal compliance cybersecurity Law firm IT strategy Change management legal tech Cyber insurance requirements Legal data privacy AI policy law firms Legal practice cybersecurity best practices EPISODE HIGHLIGHTS 00:00–01:15 – Introducing a new approach to solving legal tech problems 01:15–01:49 – The core challenge: security vs convenience in law firms 01:49–03:28 – Why cybersecurity adoption has historically been slow in legal 03:28–04:18 – Multi-factor authentication myths and realities 04:18–04:58 – Why lawyers resist security measures 04:58–06:29 – Email encryption and protecting sensitive client data 06:29–07:13 – Legacy email habits and evolving communication risks 07:13–09:37 – Compliance requirements across state, federal, and industry rules 09:37–10:45 – Productivity concerns when implementing cybersecurity controls 10:45–12:25 – Change management strategies for technology adoption 12:25–13:37 – Why law firms struggle with operational change 13:37–14:48 – Planning technology decisions three to five years ahead 14:48–15:50 – Transition into AI discussions and industry hype 15:50–16:49 – Risks of unstructured AI adoption ("shadow AI") 16:49–20:21 – Building firm-wide AI policies and governance frameworks 20:21–20:55 – Creating formal AI usage policies for law firms 20:55–22:16 – Early adoption of AI automation workflows 22:16–23:15 – Automating legal processes using AI integrations 23:15–25:41 – Future legal tech trends beyond AI hype 25:41–26:55 – Zero Trust security explained simply 26:55–28:55 – Proactive cybersecurity monitoring and incident response 28:55–31:07 – Building collaborative relationships with IT vendors 31:07–32:56 – Leadership transition lessons from Sensei Enterprises 32:56–33:28 – Episode wrap-up and key takeaways
29 min
EPISODE SUMMARY In this episode of Adventures in Legal Tech, host Jared Correia speaks with John Pothier, managing partner at Embedded Counsel, about one of the most common challenges lawyers face: launching a law firm without understanding technology. Using the fictional scenario of an in-house attorney ready to go solo but overwhelmed by tech decisions, the conversation breaks down the essential systems, tools, and strategic choices lawyers actually need when starting a modern practice. Rather than focusing on flashy software, the discussion emphasizes practical foundations — collaboration tools, workflow management, AI adoption, pricing models, marketing experimentation, and the realities of transitioning from in-house counsel to entrepreneurship. The episode also explores: Why Google Workspace may outperform traditional setups for small firms How cloud technology has lowered the barrier to starting a law practice The evolving role of AI in legal workflows Subscription and flat-fee pricing models replacing hourly billing Marketing experimentation and networking as growth drivers Burnout risks in in-house roles and the motivation to go independent Building partnerships and fractional legal services practices LINKS & RESOURCES redcavelegal.com embeddedcounsel.com john.pothier@embeddedcounsel.com KEYWORDS Legal tech for startups Starting a law firm Legal technology stack Google Workspace for lawyers Law firm technology basics Fractional general counsel Flat fee legal pricing Subscription legal services AI for lawyers Legal research technology Cloud law practice Legal entrepreneurship In-house counsel transition Law firm marketing strategy Legal networking Practice management tools Law firm automation Legal business development EPISODE HIGHLIGHTS 00:00–01:14 - Introducing a new approach to legal tech conversations 01:14–02:23 - The problem: starting a firm with zero technology knowledge 02:23–03:13 - Why Google Workspace became the foundation of a modern law firm 03:13–04:01 - Microsoft vs Google ecosystems and integration simplicity 04:01–05:11 - Project management challenges in legal practice tools 05:11–06:14 - AI tools lawyers are experimenting with today 06:14–06:57 - Guardrails and risks when using general AI platforms 06:57–07:24 - Cloud technology lowering startup costs for law firms 07:24–08:19 - The minimal tech stack needed to launch a practice 08:19–09:12 - John Pothier's unconventional path into law 09:12–10:08 - Entrepreneurship before traditional legal careers 10:08–11:10 - The reality of working as in-house counsel 11:10–12:19 - Burnout, workload pressure, and limited time off 12:19–13:41 - Why lawyers leave stable roles to start firms 13:41–15:00 - Choosing the right business partner in legal practice 15:00–17:00 - Balancing entrepreneurship with family life and risk 17:00–19:24 - Designing pricing models without industry transparency 19:24–20:37 - Flat fee vs hourly billing and client psychology 20:37–22:30 - The rise of fractional legal services 22:30–23:26 - Marketing experiments that didn't work 23:26–24:47 - Networking as the most reliable growth strategy 24:47–26:22 - Lessons learned from running AI-driven marketing ads 26:22–28:26 - Professional development while managing a law firm
31 min
Summary Tune into "Adventures in Legaltech" for an engaging talk with Caspar Roxburgh, GM of Draftable. Discover how to tackle the infamous Word doc track changes mishap, get insights on law firm tech overload solutions, and explore fresh paths in legal technology innovation. 📄🎙️. Episode Highlights 00:05:45 - Introduction to Colin's vexing problem: missing track changes. 00:07:44 -Options for document comparison in legal tech. 00:10:18 - Caspar's transition from product team to general management. 00:13:43 - The importance of customer feedback in product development. 00:16:40 - Caspar's unexpected journey from agriculture to legal tech. 00:19:57 - Tech overload in law firms and renewal cycles explained. 00:24:58 - Balancing off-the-shelf solutions versus building bespoke tools. 00:28:35 - Navigating pricing and honest cost structures in legal software. Episode Resources Resources mentioned in the podcast: www.redcavelegal.com www.draftable.com Binge Thinking Keywords Adventures in Legaltech Legaltech conversations Technology issues Law practice technology Red Cave Law Firm Consulting Legal software solutions Document comparison software Draftable Legal tech commentary Real estate, banking, finance, M&A Podcast professional Vibe coding AI in legal tech Vendor-law firm relationship Legal tech automation Law firm tech overload Software renewal cycles Legal tech pricing AI technology features
33 min
I spoke with a solo attorney, who gets a heck of a lot done in her unique practice niche, by leveraging AI + business planning. Episode Highlights 02:12 - Overwhelming AI solutions in law. 03:56 - Jess Birken recommends note-taking AI. 04:48 - Fathom: AI for virtual meetings. 06:31 - Flat fees vs. hourly billing for AI efficiency. 07:25 - AI in competitive practice areas. 08:55 - Using AI for marketing in law. 12:50 - The rise of podcasting for marketing. 16:05 - Transition to nonprofit law. 18:41 - Vetting AI tools for legal use. 21:00 - Balancing innovation with caution in AI. 23:48 - Prioritizing intentions over rigid plans. Episode Resources Connect with Jared Correia jared@redcavelegal.com https://redcavelegal.com/ https://www.linkedin.com/in/jaredcorreia https://twitter.com/RedCaveLegal www.linkedin.com/in/jaredcorreia/ Connect with Jess Birken https://birkenlaw.com/ jess@birkenlaw.com
38 min
I talked with an attorney who owns a law firm and real estate closing company about how he grew his organizations using acquisition as a tool, as well as about how the firm has stayed on track by adopting modern technology. Episode Highlights 01:04 - Commitment to actionable insights. 02:05 - Creating a fun workplace culture. 06:22 - Impact of culture and dynamics. 07:39 - Using unexpected initiatives. 10:57 - Decision-making and organizational charts. 13:35 - Featuring the human side of business with events. 17:33 - Approach to business and acquisitions. 19:12 - Opportunities in legal and closing business models. 27:17 - Decision on adopting Qualia for business. 31:43 - Using AI in legal practices. 34:35 - Future for lawyers in AI integration. Episode Resources Connect with Jared Correia jared@redcavelegal.com https://redcavelegal.com/ https://www.linkedin.com/in/jaredcorreia https://twitter.com/RedCaveLegal www.linkedin.com/in/jaredcorreia/ Connect with Jack O'Donohue https://touchstoneclosing.com/ https://touchstonelawoffices.com/ https://www.youtube.com/@DonutDigest jodonohue@touchstoneclosing.com
29 min
I spoke with a senior paralegal about best practice tips for intake + client service. Episode Highlights 02:45 - Automations in CRM to filter conversations. 04:04 - The "CRM as ATM" concept for law firms. 06:13 - The importance of cultural responsiveness in client communication. 07:46 - The value of short, effective intake forms. 11:03 - Benefits of outsourcing roles in firms. 12:56 - Effective use of answering services. 16:13 - Importance of metrics and lead tracking. 19:45 - Training clients for law firm communication expectations. 22:15 - Simplifying software usage in law firms. 25:01 - Exploring artificial intelligence in legal practices. Episode Resources Connect with Jared Correia jared@redcavelegal.com https://redcavelegal.com/ https://www.linkedin.com/in/jaredcorreia https://twitter.com/RedCaveLegal www.linkedin.com/in/jaredcorreia/ Connect with Vanessa Reynolds gmrodriguezlaw.com vanessa@gmrodriguezlaw.com
42 min
I spoke with a lawyer, developer, educator & data scientist about how AI is disrupting law practice & legal education. Episode Highlights 03:33 - AI revolution challenge for law firms. 05:57 - What is agentic AI? 11:41 - Custom GPTs in practice. 19:52 - Bias in AI and its implications. 25:52 - Tackling AI fairness and justice. 32:57 - Star Trek's predictive view on AI. 36:01 - The concept of P-Doom. 45:20 - Role-playing in AI and law education. 48:30 - The promise of AI in education. 54:41 - Legal students' interaction with AI tools. Episode Resources Connect with Jared Correia jared@redcavelegal.com https://redcavelegal.com/ https://www.linkedin.com/in/jaredcorreia https://twitter.com/RedCaveLegal www.linkedin.com/in/jaredcorreia/ Connect with David Colarusso https://suffolklitlab.org/ https://lawrpg.org/ dcolarusso@suffolk.edu