Why AI Will Create More Legal Work, Not Less: Filevine's Rizner and Anderson on Research, Access, and Human Judgment

Why AI Will Create More Legal Work, Not Less: Filevine's Rizner and Anderson on Research, Access, and Human Judgment

Predictions about artificial intelligence often focus on job losses and shrinking demand for lawyers. Filevine [http://filevine.com] CEO and co-founder Ryan Anderson [https://www.linkedin.com/in/ryan-anderson-49a30740/] and product manager John Rizner [https://www.linkedin.com/in/john-r-278b6b2a8/] offer a sharply different forecast. Drawing on the Jevons paradox, they argue greater efficiency will make legal services accessible to more people, encourage deeper legal research, and create work once excluded by cost. AI might reduce the effort required for individual tasks while expanding the overall volume and ambition of legal representation. The shift holds major implications for the access-to-justice gap. Faster drafting, research, and document review would allow lawyers to serve more clients without sacrificing professional judgment. Anderson expects family law, immigration, bankruptcy, criminal defense, and employment litigation to experience some of the earliest growth. Motions, witnesses, and legal theories once abandoned over expense become economically viable, although courts face their own capacity crisis as more disputes and arguments enter the system. Rizner explains how Filevine’s legal AI platform, Lois, applies machine learning to one of legal research’s oldest problems: traditional citators often return different results. Lois combines citation graphs with semantic analysis to locate opinions discussing related legal doctrines even when no direct citation connects the cases. A panel of models then evaluates potential conflicts and produces a structured memo. The goal is richer legal analysis focused on the precise holding or proposition a lawyer needs, rather than a simple flag attached to an entire opinion. Accuracy still demands disciplined human review. Filevine organizes citation verification into three levels: confirming the cited case exists, determining whether the case supports the claimed proposition, and checking whether the authority is still good law. The conversation also examines Rizner’s research into how different large language models approach efficient breach of contract. OpenAI, Google, and Anthropic models produced dramatically different recommendations, revealing embedded legal and economic preferences beneath seemingly neutral answers. The guests also explore how AI changes legal drafting, law firm economics, and the billable hour. Filevine’s acquisition of Pincites, now Lois for Word, reflects Microsoft Word’s continuing role as the shared language of legal documents, redlines, formatting, and negotiations. Efficiency does not automatically eliminate hourly billing. Lawyers might instead use saved time to produce more thoroughly researched arguments, stronger contracts, and work product approaching senior-level depth. Firms still need incentives rewarding efficiency rather than treating faster work as lost revenue. Looking ahead, Anderson and Rizner predict a proliferation of frontier and open-source models tailored to firms, individual lawyers, and specific client relationships. Legal teams will increasingly pair proprietary knowledge with selected models to produce highly specialized analysis. Yet model choice introduces jurisprudential bias, accuracy risks, and serious training concerns for junior lawyers. AI expands the range of available options, while experienced legal judgment decides which arguments deserve trust, which sources require verification, and which advice should reach the client. John Rizner Slides Filevine Primary Presentation - 2026 [https://www.geeklawblog.com/wp-content/uploads/sites/528/2026/07/JR-Slides-Filevine-Primary-Presentation-2026-Costa-Rica-8-MODIFIED-FOR-TEXAS.pptx] Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://podcasts.apple.com/us/podcast/the-geek-in-review/id1401505293] |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://open.spotify.com/show/53J6BhUdH594oTMuGLvANo?si=XeoRDGhMTjulSEIEYNtZOw] | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.youtube.com/@thegeekinreview] | ⁠Substack⁠ [https://thegeekinreview.substack.com/] [Special Thanks to ⁠⁠Legal Technology Hub⁠⁠ [https://www.legaltechnologyhub.com/] for their sponsoring this episode.] ⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠   Transcript:

Nikki Shaver on Legal AI Strategy, Agentic Governance, and Trusted Judgment

What does legal AI value look like once speed stops serving as the headline metric? In this episode of The Geek in Review, Greg Lambert and Marlene Gebauer speak with Nikki Shaver [https://www.linkedin.com/in/nicola-shaver/], co-founder and CEO of Legal Technology Hub [https://www.legaltechnologyhub.com] and a member of the inaugural Financial Times Law 50 [https://www.ft.com/content/2531e887-ecec-43a3-a03e-dc15c87694bb?syn-25a6b1a6=1]. Shaver argues that law firms need to move beyond time saved toward efficacy: stronger output, stronger client outcomes, and more effective legal advice. The conversation examines why the billable hour is far from finished yet no longer serves as the sole measure of legal value. Shaver compares hourly timekeeping to a taxi meter: useful for internal visibility, yet insufficient as the price signal for work transformed by AI. Workflow mapping, client discussions, and pricing discipline become central where an AI-enabled process compresses weeks of effort into hours. Corporate legal departments are adopting AI at a faster pace, bringing new pressure to outside counsel. Some in-house teams see AI as a route to keep more work inside, while others see room for firms to take on work that previously sat outside budget limits. Shaver frames the strategic question around delivering more for clients, especially in practice areas where a firm holds differentiated expertise. AI has not produced the promised empty calendar. Instead, lawyers report fuller schedules, longer documents, and a growing verification tax. Shaver flags the rise of 40-page forms, bloated redlines, and outputs that look polished yet lack sound reasoning. The episode makes a practical case for concise drafting, human review, and critical reasoning before any AI-generated material reaches a client or counterparty. Agentic AI raises the stakes. Legal Technology Hub’s AI Agents in Law Map tracks hundreds of solutions, yet governance has not kept pace with new autonomy, connectors, and downstream system access. Shaver urges firms to establish traceability, unique identifiers, risk-based human oversight, enforceable policies, and a clear view of where data travels. For firms aiming past baseline adoption, Shaver draws a line between routine personal use and strategic transformation. Daily use builds fluency, but competitive advantage grows from proprietary workflows, data foundations, client-facing collaboration spaces, and focused investment in the practices where a firm already excels. Her crystal-ball view is blunt: trusted judgment will become a scarce premium asset, AI-native firms will rise, and traditional firms will launch AI-native subsidiaries of their own. Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://podcasts.apple.com/us/podcast/the-geek-in-review/id1401505293] |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://open.spotify.com/show/53J6BhUdH594oTMuGLvANo?si=XeoRDGhMTjulSEIEYNtZOw] | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.youtube.com/@thegeekinreview] | ⁠Substack⁠ [https://thegeekinreview.substack.com/] [Special Thanks to ⁠⁠Legal Technology Hub⁠⁠ [https://www.legaltechnologyhub.com/] for their sponsoring this episode.] ⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠ Transcript:

Own the Graph: Stephen Costigan on Private AI, Knowledge Infrastructure, and Law Firm Advantage

For law firms, artificial intelligence has often arrived as a choice between speed and control. Stephen Costigan [https://www.linkedin.com/in/stephencostigan/], founder of Atlas AI [http://www.atlas-ai.io], argues that choice deserves a rethink. In this episode of The Geek in Review, we speak with Costigan about private legal AI infrastructure, knowledge graphs, and why a firm’s internal work product may become its most valuable long-term asset. Atlas AI focuses on turning documents, matter history, precedents, clauses, parties, and obligations into a curated legal knowledge graph inside a firm’s own environment. Costigan contrasts this approach with standard vector search and retrieval systems, which find text with similar language but often lack context around clients, matters, entities, and relationships. A knowledge graph offers structure, linking people, documents, clauses, and legal concepts in ways closer to how lawyers understand their work. The conversation also explores data quality, a subject with enough baggage to fill a records room. Costigan argues firms no longer need year-long cleanup projects before seeing results. Agent-led curation, entity extraction, duplicate resolution, and ontology mapping reduce much of the manual sorting traditionally associated with knowledge management. Human judgment still matters, especially around practice-area vocabularies and lower-confidence results, but the machines get assigned more of the janitorial work. Security and governance sit at the center of Costigan’s model. Rather than asking firms to trust a vendor’s assurances around privileged data, Atlas AI runs within a firm’s Azure environment, under firm-controlled keys and policies. Costigan frames this as a shift from confidentiality as a contractual promise to confidentiality as an architectural decision. For legal organizations handling sensitive client information, the location of data, embeddings, audit trails, and model interactions matters as much as the interface lawyers see on screen. Looking ahead, Costigan predicts a divide between firms renting generic AI tools and firms building durable knowledge infrastructure from their own experience. As routine drafting, diligence, and review work compress, firms with structured and reusable internal intelligence may productize expertise, offer new fixed-fee services, and rely less heavily on traditional leverage models. The future question, Costigan suggests, will not center on which AI tool sits on a lawyer’s desktop. The bigger question will ask who owns the knowledge behind the work. Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://podcasts.apple.com/us/podcast/the-geek-in-review/id1401505293] |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://open.spotify.com/show/53J6BhUdH594oTMuGLvANo?si=XeoRDGhMTjulSEIEYNtZOw] | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.youtube.com/@thegeekinreview] | ⁠Substack⁠ [https://thegeekinreview.substack.com/] [Special Thanks to ⁠⁠Legal Technology Hub⁠⁠ [https://www.legaltechnologyhub.com/] for their sponsoring this episode.] ⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠ Transcript:

AALL 2026 Annual Meeting Preview with Foster and Whytock: Leading with Aloha, Legal AI, and the Future of Law Libraries

This week we welcome American Association of Law Libraries leaders Jenny Foster [https://www.linkedin.com/in/jenny-foster-56604416a/], AALL President for 2025-2026, and Jessica Whytock [https://www.linkedin.com/in/jessica-whytock-58ba2b8/], AALL Vice President and President-Elect. The conversation offers a preview of the 2026 AALL Annual Meeting & Conference [https://www.aallnet.org/conference/] in Cleveland, Ohio, along with a thoughtful look at how the association is supporting legal information professionals during a period of institutional, technological, and professional change. Foster reflects on a leadership year focused on transparency, communication, and meaningful opportunities for member participation. From strengthening channels between members and AALL leadership to intentional volunteer appointments across committees and juries, she describes an association built through relationships. The goal is to ensure newer, mid-career, and seasoned law librarians all have a visible place in shaping the profession’s future. Advocacy also plays a central role in the discussion. Foster explains how AALL continues its work on access to legal information, public policy, and coalition-building, even amid staffing transitions. The association’s Government Relations Committee has continued meeting with members, offering advocacy training, rebuilding connections with peer organizations, and aligning its work with AALL’s strategic priorities. For law librarians, advocacy is both a long-term commitment and a practical responsibility tied to preserving authoritative legal information. The 2026 conference theme, “Leading with Aloha,” gives the Cleveland meeting its distinct point of view. Foster shares how aloha, rooted in kindness, unity, humility, patience, and meaningful connection, became a framework for leadership during uncertain times. More than 65 programs will explore topics ranging from generative AI and legal scholarship to physical collection strategy, access challenges, and the changing role of legal information professionals. Local programming connected to Cleveland’s history will bring an added sense of place to the gathering. Whytock looks ahead to her upcoming presidency with a focus on clear pathways for engagement, leadership, grants, scholarships, committee service, and professional growth. Both leaders see artificial intelligence as a catalyst for a deeper conversation about the identity and value of legal information professionals. Their message is straightforward: the future of law librarianship rests in human judgment, critical thinking, ethical discernment, context, access, and a community willing to bring more voices into the room. The 2026 AALL Annual Meeting in Cleveland offers a place for those conversations to move from aspiration into action. Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://podcasts.apple.com/us/podcast/the-geek-in-review/id1401505293] |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://open.spotify.com/show/53J6BhUdH594oTMuGLvANo?si=XeoRDGhMTjulSEIEYNtZOw] | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.youtube.com/@thegeekinreview] | ⁠Substack⁠ [https://thegeekinreview.substack.com/] [Special Thanks to ⁠⁠Legal Technology Hub⁠⁠ [https://www.legaltechnologyhub.com/] for their sponsoring this episode.] ⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠   Transcript:

LexisNexis CTO Greg Dickason on Agentic Legal AI, Protégé, Shepard’s Verify, and the Future of Legal Work

In this episode of The Geek in Review, we welcome Greg Dickason [https://www.lexisnexis.com/en-us/about-us/leadership/global-leadership/greg-dickason.page], Chief Technology Officer at LexisNexis [https://www.lexisnexis.com/], for a wide-ranging conversation on agentic legal AI, Lexis+ AI Protégé, and the movement from AI chat toward AI work. Dickason frames the shift through a simple contrast: earlier legal AI answered questions, while agentic workflows take on multi-step assignments, conduct research, create drafts, verify citations, and move legal professionals closer to finished work product. For law firms and legal departments trying to understand where AI goes next, this episode places agentic AI squarely inside legal workflow, legal research, drafting, and risk management. A major theme of the conversation is trust. Dickason explains how Shepard’s Verify extends the familiar Shepard’s signal beyond traditional research screens and into uploaded work product. Rather than asking lawyers to rely on AI-generated text without a verification layer, LexisNexis is building citation checking into the workflow, giving lawyers a path to confirm whether cited authority exists, whether authority is still good law, and how later courts treated the cited case. For lawyers worried about hallucinated citations, AI-generated briefs, and unreliable authority, this verification layer becomes part of the product architecture, rather than an afterthought. The discussion also explores the relationship between LexisNexis and Anthropic, along with the rise of legal AI skills. Dickason describes a market where model choice, orchestration, and legal skills increasingly matter as separate layers. Anthropic, OpenAI, Google, and other model providers offer impressive foundations, yet legal work needs more than general-purpose intelligence. Large law workflows require legal content, expert reasoning, matter-specific playbooks, and firm-defined processes. Dickason notes the ability to upload firm playbooks as skills, giving firms a path to bring their own way of working into Protégé. Security receives equal billing with accuracy. As firms place client documents into AI vaults and connect work product to legal AI platforms, Dickason explains bring your own key, or BYOK, through a practical office-and-locked-cabinet analogy. The point is control: client content sits encrypted, access depends on the user’s key, and access stops when the key is withdrawn. He also discusses legal chunking, indexing, vector stores, retrieval-augmented generation, and knowledge graphs as part of building AI systems suited for legal documents, rather than generic file handling. The episode closes with a broader view of legal AI’s impact on junior associates, legal training, and access to law. Dickason does not predict the end of junior lawyers. Instead, he sees AI helping junior lawyers become senior faster through mock trials, mock depositions, and richer training environments. He also warns of risks from agent volume, security vulnerabilities, and legal systems struggling to keep pace with AI-enabled industries. The message is pragmatic and optimistic: agentic legal AI will change legal work, yet the winners will be those who combine trusted content, secure systems, verification, workflow design, and human judgment. Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://podcasts.apple.com/us/podcast/the-geek-in-review/id1401505293] |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://open.spotify.com/show/53J6BhUdH594oTMuGLvANo?si=XeoRDGhMTjulSEIEYNtZOw] | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.youtube.com/@thegeekinreview] | ⁠Substack⁠ [https://thegeekinreview.substack.com/] [Special Thanks to ⁠⁠Legal Technology Hub⁠⁠ [https://www.legaltechnologyhub.com/] for their sponsoring this episode.] ⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠ Transcript: