Learned Hand's Shlomo Klapper on Why Courts Are the Next Frontier for Legal AI

How AI Is Transforming the Way Law Firms Win Business, with Ikaun President Jason Noble

Law firms sell experience — but for decades, harnessing and operationalizing that experience has been a largely manual, chaotic process. In this episode, recorded live at the Legal Marketing Association annual conference in New Orleans, host Bob Ambrogi sits down with Jason Noble [https://www.linkedin.com/in/janoble/], president and chief of product strategy at Ikaun [https://www.ikaun.com/], to talk about how his company is changing that. Ikaun is a managed service and technology platform that helps law firms streamline the proposal and RFP response process — from capturing and organizing matter experience data to using AI to assemble and draft competitive pitches. Jason explains how the platform works, how the arrival of generative AI transformed what was previously possible, and why Ikaun positions itself as a managed service rather than a self-serve SaaS tool. Jason and Bob also get into the bigger picture of how law firms are responding to AI-driven changes in the competitive landscape, whether the billable hour can survive in an AI-augmented world, and whether the RFP process itself will look the same in the years ahead — or whether we're moving toward a future where agents are submitting and responding to proposals with minimal human involvement. Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. * Paradigm [https://joinparadigm.com/], home to the practice management platforms PracticePanther [https://www.practicepanther.com/], Bill4Time [https://www.bill4time.com/], MerusCase [https://meruscase.com/] and LollyLaw [https://www.lollylaw.com/]; the e-payments platform Headnote [https://headnote.com/]; and the legal accounting software TrustBooks [https://trustbooks.com/]. * Briefpoint [https://rebrand.ly/briefpoint-lawnext-podcast], eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner). Chapters (00:00) Introduction to ICON and Legal Tech Innovations (02:30) Jason Noble's Journey and Background (05:20) The Evolution of ICON and Its Focus (07:09) Experience Management in Legal Firms (10:30) Gathering Experience Data in Litigation (11:48) How ICON's Platform Works (14:05) The Impact of AI on Proposal Processes (18:07) Current Landscape of RFP Responses (20:31) Differentiating ICON from Competitors (22:45) Knowledge Management vs. Experience Management (24:01) Tailoring Solutions for Law Firms (25:49) Qualities of Successful Law Firms (27:24) Law Firms' Response to AI Integration (29:54) Pricing Strategies in RFP Responses (31:21) Competitive Landscape and AI's Influence (33:27) The Future of Billable Hours (35:50) The Future of RFPs and AI's Role (39:33) Client Satisfaction and Future Directions If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.

Legal Marketing Association President Rachel Shields Williams On AI, Innovation, and Why People Still Come First

Recorded live at the annual meeting of the Legal Marketing Association [https://www.legalmarketing.org/] in New Orleans, this episode features a conversation with Rachel Shields Williams [https://www.linkedin.com/in/rachelshieldswilliams/], president of the LMA and director of client intelligence at Sidley Austin, where she has spent 17 years building out roles at the intersection of marketing, business development, knowledge management and data. Earlier this year, Rachel was named a recipient of ALM's Monica Bay Women in Legal Tech Award [https://www.law.com/legaltechnews/2026/01/08/announcing-the-2026-legalweek-leaders-in-tech-law-awards-finalists-lifetime-achievement-and-monica-bay-women-of-legal-tech-winners-/]. Rachel and host Bob Ambrogi discuss how AI is reshaping the work of legal marketers, and why she believes the marketing community is uniquely positioned to help law firms move past the "I'm curious, I want to click the buttons" stage of AI adoption to sustained, repeatable value. They get into the state of innovation in big law — including Rachel's view that firms cannot use AI or money to "skip the canyon of despair" in change management — and why she thinks meaningful innovation often looks less like a headline and more like getting one percent better every week. The conversation also covers the changing competitive landscape facing traditional firms, from AI-native entrants like Norm AI to MSOs and a resurgent ALSP market; the long-running debate over the billable hour; the four interrelated elements Rachel sees at the heart of every law firm's data — documents, clients, matters, and people; and what firm leaders should be doing right now to stay competitive over the next decade. Throughout, Rachel returns to a theme about which she calls herself an "unapologetic humanist" — technology and process will keep changing, but the firms that win will be the ones that put the right people in the room first. Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. * Paradigm [https://joinparadigm.com/], home to the practice management platforms PracticePanther [https://www.practicepanther.com/], Bill4Time [https://www.bill4time.com/], MerusCase [https://meruscase.com/] and LollyLaw [https://www.lollylaw.com/]; the e-payments platform Headnote [https://headnote.com/]; and the legal accounting software TrustBooks [https://trustbooks.com/]. * Briefpoint [https://rebrand.ly/briefpoint-lawnext-podcast], eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner). If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.

Built on a Weekend: Damien Riehl and Mike Bommarito Show What Vibe Coding Can Really Do

We don't usually say this, but for today's LawNext, you're going to want to watch the video version, if you can. The audio will be good, but the video will be great. You can find it on YouTube [https://youtu.be/kTh08RbdFlg]. Why? Because we're going to be talking today about vibe coding, and you're going to want to see what our guests are showing today, not just hear them tell about it. Those guests are Damien Riehl [https://www.linkedin.com/in/damienriehl/] and Michael Bommarito [https://www.linkedin.com/in/bommarito/]. By day, Damien works on AI products at Clio and Mike is CEO of 273 Ventures, a company that provides AI strategy and services for law firms and legal professionals. But outside their day jobs, they are also founders of the ALEA Institute [https://aleainstitute.ai/], the Institute for the Advancement of Legal and Ethical AI, where a central focus of theirs is the FOLIO Project [https://openlegalstandard.org/], which is seeking to develop and maintain open legal standards and a comprehensive ontology to enable different legal systems to communicate with each other. FOLIO is an outgrowth of the SALI Alliance, whose ontology was largely developed by Damien. So what does any of this have to do with vibe coding? Well, in connection with their FOLIO project, Damien and Mike have been building an array of tools for tagging and enriching legal documents (FOLIO Enrich [https://enrich.openlegalstandard.org/]), for mapping law firm taxonomies (FOLIO Mapper [https://mapper.openlegalstandard.org/]), for browsing and editing legal ontologies (FOLIO Ontology Explorer [https://folio.openlegalstandard.org/explore/tree]), and much more. (See the full list of FOLIO resources [https://docs.google.com/document/d/1KHlhq7ykD391-mOTz6LnDFIjMxx4a6tJVbkTfflnYz4/edit?tab=t.i4eqhzg5m4x7].) And they've built all of it by vibe coding. Not over months, not with a team of developers, but on their own, often in a single weekend day, using AI coding tools. When Damien first showed LawNext host Bob Ambrogi what he and Mike were developing, Bob thought, "It's not enough for me to just write about this. It really has to be seen, in action." So he asked Damien and Mike to come on LawNext, share their screens, walk us through what they've been building, and show us what vibe coding actually looks like in action when it's applied to serious legal technology problems. Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. * Paradigm [https://joinparadigm.com/], home to the practice management platforms PracticePanther [https://www.practicepanther.com/], Bill4Time [https://www.bill4time.com/], MerusCase [https://meruscase.com/] and LollyLaw [https://www.lollylaw.com/]; the e-payments platform Headnote [https://headnote.com/]; and the legal accounting software TrustBooks [https://trustbooks.com/]. * Briefpoint [https://rebrand.ly/briefpoint-lawnext-podcast], eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner). If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.

Learned Hand's Shlomo Klapper on Why Courts Are the Next Frontier for Legal AI

Are courts the next frontier for legal AI? Shlomo Klapper [https://www.linkedin.com/in/sklapper/], founder and CEO of the AI-driven judicial case-preparation platofrm Learned Hand [https://www.learned-hand.ai/en/], believes they are. A former litigator at Quinn Emanuel and law clerk for the 2nd U.S. Circuit Court of Appeals, Klapper is building what he calls a "reasoning engine" for judges — AI tools designed to help them manage crushing caseloads by organizing case materials, flagging when lawyers bend the truth, and drafting bench memos and orders. LawNext host Bob Ambrogi interviews Klapper on the heels of significant news: Learned Hand just announced a partnership with the Superior Court of Los Angeles County, the largest trial court in the nation, to explore how AI can support judicial officers across the full arc of a case — from filing through drafting. The company's technology — the only AI built exclusively for the judiciary — is also used by the Michigan Supreme Court and trial courts in 10 states. In today's conversation, Klapper discusses why courts are the next frontier for legal AI, what it takes to earn the trust of judges, and how Jevons Paradox — the idea that as legal services get cheaper, demand will explode — is reshaping the justice system. They also dig into the difficult questions around how Learned Hand addresses concerns about bias and hallucinations, and how it can overcome judges' skepticism about AI and achieve broad judicial adoption. Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. * Paradigm [https://joinparadigm.com/], home to the practice management platforms PracticePanther [https://www.practicepanther.com/], Bill4Time [https://www.bill4time.com/], MerusCase [https://meruscase.com/] and LollyLaw [https://www.lollylaw.com/]; the e-payments platform Headnote [https://headnote.com/]; and the legal accounting software TrustBooks [https://trustbooks.com/]. * Briefpoint [https://rebrand.ly/briefpoint-lawnext-podcast], eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner). If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.

Mary Technology Wants to Solve Litigation's 'Fact Chaos' Problem

E-discovery platforms have gotten great at narrowing millions of documents down to manageable sets. But what happens next — the grueling work of extracting facts, organizing them, and building a reliable case narrative — has remained largely manual. In this episode of LawNext, host Bob Ambrogi talks with Daniel Lord-Doyle [https://www.linkedin.com/in/mary-technology-dan/], cofounder and CEO of Mary Technology [https://www.marytechnology.com/], about the Australian startup's bet that "fact management" is the missing layer in litigation technology. Mary's approach is distinct from the large AI platforms that store documents as embeddings in vector databases. Instead, the company extracts every individual fact, enriches it with metadata, and links it directly back to its source — creating what Lord-Doyle calls a verifiable chain from work product to evidence. He makes a compelling case that in litigation, where fault tolerance is low and the stakes are high, the nuance lost by compression-based AI systems is exactly what matters most. The company just closed a $7 million (Australian) seed round [https://www.lawnext.com/2026/03/mary-technology-raises-a7m-to-bring-fact-management-platform-to-u-s-market.html] led by OIF Ventures and is expanding into the U.S. with a new San Francisco office and a new self-serve platform that lets smaller firms try it without a sales process. Lord-Doyle also talks about the concept of "productive friction" — why Mary deliberately won't let lawyers skip the verification step — and what he's learned about bringing an Australian legal tech product to the American market. Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. * Paradigm [https://joinparadigm.com/], home to the practice management platforms PracticePanther [https://www.practicepanther.com/], Bill4Time [https://www.bill4time.com/], MerusCase [https://meruscase.com/] and LollyLaw [https://www.lollylaw.com/]; the e-payments platform Headnote [https://headnote.com/]; and the legal accounting software TrustBooks [https://trustbooks.com/]. * Briefpoint [https://rebrand.ly/briefpoint-lawnext-podcast], eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner). If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.