legal tech

Subscribe to legal tech via RSS

In this episode of The Geek in Review, we welcome back Pablo Arredondo, VP of CoCounsel at Thomson Reuters, along with Joel Hron, the company’s CTO. The conversation centers on the recent release of ChatGPT-5 and the rise of “reasoning models” that go beyond traditional language models’ limitations. Pablo reflects on his years of tracking neural net progress in the legal field, from escaping “keyword prison” to the current ability of AI to handle complex, multi-step legal reasoning. He describes scenarios where entire litigation records could be processed to map out strategies for summary judgment motions, calling it a transformative step toward what he sees as “celestial legal products.”

Joel brings an engineering perspective, comparing the legal sector’s AI trajectory to the rapid advancements in AI developer tools. He notes that these tools have historically amplified the skills of top performers rather than leveling the playing field. Applied to law, he believes AI will free lawyers from rote work and allow them to focus on higher-value decisions and strategy. The discussion shifts to Deep Research, Thomson Reuters’ latest enhancement for CoCounsel, which leverages reasoning models in combination with domain-specific tools like KeyCite to follow “breadcrumb trails” through case law with greater accuracy and transparency.

The trio explores the growing importance of transparency and verification in AI-driven research. Joel explains how Deep Research provides real-time visibility into an AI’s reasoning path, highlights potentially hallucinated citations, and integrates verification tools to cross-check references against authoritative databases. Pablo adds historical and philosophical perspective, likening hallucinations to a tiger “going tiger,” stressing that while the risk cannot be eliminated, the technology already catches a significant number of human errors. Both agree that AI tools must be accompanied by human oversight and well-designed workflows to build trust in their output.

The conversation also delves into the challenges of guardrails and governance in AI. Joel describes the balance between constraining AI for accuracy and keeping it flexible enough to handle diverse user needs. He introduces the concept of varying the “leash length” on AI agency depending on the task—shorter for structured workflows, longer for open-ended research. Pablo challenges the legal information community to break down silos between disciplines like eDiscovery, research, and litigation, envisioning a unified information ecosystem that AI could navigate seamlessly.

Looking to the future, Joel predicts that the adoption of AI agents will reshape organizational talent strategies, elevating the importance of those who excel at complex decision-making. Pablo proposes “ambient AI” as the next frontier—intelligent systems that unobtrusively monitor legal work, flagging potential issues instantly, much like a spellchecker. Both caution that certain legal tasks, especially in judicial opinion drafting, warrant careful consideration before fully integrating AI. The episode closes with practical insights on staying current, from following AI researchers on social platforms to reading technical blogs and academic papers, underscoring the need for informed engagement in this rapidly evolving space.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.]

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

Guest’s Go-To Resources:

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading Pablo Arredondo and Joel Hron on Reasoning Models, Deep Research, and the Future of Legal AI

This week, we welcome Christian Geyer, founder and CEO of ACTFORE, for a deep dive into the world of automated breach response. From his early days in military intelligence to founding a disruptive forensics firm, Christian shares how his diverse experiences shaped a data‑driven approach to tackling one of corporate America’s thorniest problems: managing the chaos of a data breach. Along the way we hear about secret clearances, cabinet making, and the humble beginnings of a startup launched from a literal closet.

Christian’s journey is anything but ordinary. Recruited straight into an intelligence agency at nineteen, he cut his teeth on top‑secret work before supporting Navy research labs with data dashboards that informed mission‑critical funding decisions. When an injury sidelined him from field ops, he turned to carpentry, framing houses and crafting cabinets during the mid‑2000s flip boom. That hands‑on trade remains Christian’s reminder that some skills can’t be automated, even as he builds AI to do the heavy lifting elsewhere.

He carried that disruptive spirit into Crypsis Group, undercutting the incident response market with half‑price forensics and skyrocketing revenue from zero to $20 million in four years. COVID’s budget cuts then prompted a pivot: leveraging ActiveNav’s data‑discovery engine to automate breach notification. What began as a side project in a shared office closet evolved into ACTFORE, a company that in a single four‑and‑a‑half‑day engagement processed 3 million patient records across 2 000 endpoints, cementing its reputation for speed, accuracy, and onshore security.

At the heart of ACTFORE’s offering is an automated extraction platform powered by “infant AI” tailored to each client. Rather than shipping data overseas for human review, Christian’s team uses software instances—deployed globally or on‑premise, to scan, fingerprint, and parse structured and unstructured files. Their Trace tool brings the automation into one‑click point‑and‑extract workflows, slashing keystrokes and crushing review timelines by weeks without sacrificing human‑in‑the‑loop oversight where it matters most.

Looking ahead, Christian warns of a new insider threat: AI models trained on proprietary data that could be weaponized from within. While ACTFORE continues to focus on reactive breach response, Christian sees advisory and proactive scanning services on the horizon, particularly in regions with more robust data regulations. As breach frequency rises and AI proliferates, ACTFORE aims to stay ahead of the curve, turning its combination of automation, human expertise, and a closet‑born scrappiness into the next frontier of cybersecurity.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.]

https://open.spotify.com/episode/6eHBRiw6oI08ixL7P42wEL?si=5W-7OphdSuiT-GMrM5nI4Q

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading Closets, Carpentry, and Cybersecurity with ACTFORE’s Christian Geyer

This week, we sit down with Ilona Logvinova, Director of Practice Innovation at Cleary Gottlieb, and Max Junestrand, CEO and Founder of Legora, for a deep dive into how their partnership is reshaping the legal landscape through AI-driven innovation. The conversation kicks off with the origin story behind Cleary’s strategic alliance with Legora, a legal tech platform focused on collaborative, AI-first workflows. The two share how this relationship, built on a year-long pilot and mutual alignment in vision, is now delivering real-world benefits across Cleary’s legal teams.

Max walks listeners through the evolution of Legora’s product suite, which includes a general-purpose assistant, tabular contract review, and a Microsoft Word plugin, all wrapped into a seamless collaborative workspace. Ilona elaborates on Cleary’s multi-pronged AI strategy, emphasizing a hybrid approach that integrates both in-house tools (such as Springbok AI) and external partnerships like Legora. This merger of internal and external capabilities reflects a broader shift in legal innovation—from static solutions to agile, embedded systems designed for continuous learning and adaptation.

One major theme explored is the shift in legal AI from isolated tools to interoperable ecosystems. Max stresses the importance of collaboration and avoiding silos, pointing to a future where legal tech isn’t just smarter, but also more connected. Ilona reinforces this by describing Cleary’s vision of AI as a co-worker, not a replacement, likening AI oversight to supervising junior associates. The goal, they argue, isn’t to eliminate human involvement, but to elevate it—using AI to take over repetitive tasks while freeing lawyers to focus on high-value strategy and creativity.

The episode also covers practical aspects of deployment and adoption, offering insight into why Cleary’s rollout has been so successful. Ilona credits the intuitive design and high-value use cases as key drivers of firmwide engagement. From Zoom calls with 1,000 attendees to chatbots that feel more like using Google than enterprise software, Cleary’s AI integration strategy is centered on simplicity, accessibility, and a relentless focus on user experience. The team’s use of analytics and continuous feedback loops further ensures the platform evolves to meet real-world needs.

In the crystal ball finale, Max and Ilona speculate on what’s next. Max anticipates a dramatic consolidation in user experience across legal tech platforms, driven by agents and large language models that enable seamless workflows. Ilona envisions a future shaped by AI-native infrastructure and even screenless computing environments, where collaboration is immersive and spatial rather than tethered to screens. Their shared message is clear: the future of legal work is collaborative, AI-enhanced, and closer than we think. Whether you’re a tech-savvy partner or a cautious associate, this episode offers a compelling look at how forward-thinking firms are already building the legal practice of tomorrow.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.]

https://youtu.be/vkt8mU0WtVU

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading Max Junestrand and Ilona Loginova: How Cleary Gottlieb and Legora Are Redefining Legal Work

In this episode of The Geek in Review, guest host Marcie Borgal Shunk of the Tilt Institute joins Marlene Gebauer for a thought-provoking discussion with Avaneesh Marwaha, CEO of Litera. As someone who led the company through both pre- and post-AI boom eras, Avaneesh offers an insider’s perspective on what it takes to guide a legal tech organization through profound technological and cultural shifts. He speaks candidly about why he returned to Litera, what has changed internally, and how AI is being integrated not just into products, but into the DNA of the company itself.

Avaneesh shares how Litera transitioned from an acquisition-heavy growth strategy to one that prioritizes internal AI innovation. This shift required rethinking everything from leadership talent to product development cycles. He emphasizes that meaningful adoption of AI goes far beyond surface-level integrations, calling instead for a reinvention of workflows, organizational structure, and employee mindsets. Daily AI usage is expected at Litera, but not in a checkbox kind of way. Instead, teams are challenged to use AI tools to accelerate decision-making, increase efficiency, and share insights across departments.

One of the more pressing challenges Avaneesh highlights is “adoption fatigue.” While excitement around generative AI brought in billions of investment dollars and an explosion of legal tech startups, the sheer volume of pilots and proof-of-concept tools is starting to wear thin with law firm users. To combat this, Avaneesh argues that AI needs to be native to workflows—integrated directly into Word, Outlook, and other familiar environments—so lawyers aren’t forced into unnatural digital pivots just to use new tools.

The conversation also explores agentic workflows—AI-driven processes that take action based on inputs, like automatically triaging emails or assisting in business development. Avaneesh shares that Litera has several of these tools set to launch, all co-built with customers. But he’s cautious: if AI doesn’t return value within a six-minute lawyer mindset, the tools get dropped. It’s not about flash, it’s about results.

Looking ahead, Avaneesh envisions a legal industry where AI removes the “busy work” and gives lawyers the space to tackle truly complex problems. Rather than displacing attorneys, AI will help them focus on higher-order thinking, better client service, and proactive problem-solving. But for that future to arrive, the industry needs to move past its fear of change, embrace a growth mindset, and be willing to reimagine what legal work looks like from the ground up.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.]

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading The Six-Minute Dilemma: Litera’s Avaneesh Marwaha on Building Legal Tech That Actually Gets Used

This week on The Geek in Review, we welcome Zach Posner, co-founder and managing director of The Legal Tech Fund. Zach brings a dynamic mix of first‐hand experience and visionary insight into the world of legal tech investments. The conversation kicks off with a discussion of recent high-profile funding rounds—such as Harvey’s $300 million raise—and the growing influx of generalist VC interest in the legal space. This episode sets the stage by framing legal tech as a rapidly evolving market that’s finally getting the spotlight it deserves.

Decoding Funding Dynamics and Early-Stage Challenges
A key portion of the discussion centers on the inefficiencies of early-stage funding in the legal tech arena. Zach explains that, unlike public markets with readily available metrics, early-stage investments rely heavily on personal relationships and entrepreneurial trust. He highlights how the lack of data and public comparables makes each handshake a significant moment of risk and opportunity. The dialogue provides listeners with an insider’s perspective on why leadership credibility and entrepreneurial vision are often more critical than raw business metrics in legal tech startups.

Community Building and Collaborative Innovation
Another major theme in the conversation is the importance of community and collaboration. Zach underscores that the Legal Tech Fund isn’t just about injecting capital—it’s about cultivating an ecosystem where startups, law firms, and legal departments work hand-in-hand. The fund’s unique approach of engaging with 65 different portfolio companies daily has fostered a network that benefits from shared insights and strategic partnerships. This community-first approach, according to Zach, is instrumental in driving both innovation and seamless product integration for legal professionals.

Embracing AI and User-Centric Solutions
The conversation takes a forward-looking turn as Zach discusses how artificial intelligence is revolutionizing legal workflows. While many legal tech innovations focus on enhancing efficiency, he stresses that creating an exceptional user experience is paramount. Zach notes that the rapidly evolving AI landscape demands that legal tech startups not only keep pace with technological advancements but also prioritize intuitive design and seamless integration. This approach helps ensure that even as technology becomes more powerful, it remains accessible and directly relevant to the end user.

Looking Ahead: The Future of Legal Tech
Wrapping up the episode, Zach offers a crystal ball view of the future, predicting that the next few years will see even more dramatic changes in legal tech. From AI-driven workflow automation to innovative partnerships between law firms and startups, the sector is poised for transformative growth. He encourages legal professionals to experiment, learn continuously, and stay curious about emerging technologies. For listeners eager to explore further, Zach directs them to legaltech.com and TLTFsummit.com, promising more insights and upcoming announcements. This episode is a must-listen for anyone interested in the convergence of law, technology, and innovation.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading A Deep Dive into Legal Tech Investment with TLTF’s Zach Posner

This week, we sit down with Wendy Jephson, CEO and founder of Let’s Think, to explore how behavioral science is revolutionizing knowledge management and decision-making in legal organizations. Drawing from her extensive experience at NASDAQ and in legal tech, Jephson shares valuable insights into capturing tacit knowledge and improving critical thinking through technology.

The conversation delves into how Let’s Think is addressing one of the legal industry’s most pressing challenges: capturing and transferring the valuable knowledge locked in experts’ minds. Jephson explains their innovative approach of using behavioral science methodologies combined with AI to extract, structure, and share tacit knowledge within organizations. The discussion highlights how this technology not only preserves crucial expertise but also enhances client relationships and improves fee recovery rates.

A significant portion of the episode focuses on the intersection of behavioral science and legal technology. Jephson outlines how Let’s Think’s platform serves as a “thinking partner” for legal professionals, helping them develop strategic thinking skills while preserving institutional knowledge. The discussion explores how this approach differs from traditional automation-focused legal tech solutions by emphasizing the enhancement rather than replacement of human expertise.

The hosts and Jephson examine the practical implications of behavioral science-based technology for law firms, particularly in addressing challenges such as knowledge transfer between senior and junior lawyers, improving client communications, and justifying complex legal work. The conversation highlights how this approach can lead to better understanding of legal work’s value, potentially reducing write-offs and improving client satisfaction.

The episode concludes with a forward-looking discussion about the future of legal tech and women-led startups in the legal industry. Jephson shares her optimistic perspective on the increasing acceptance of AI in legal practice and the growing presence of women in legal technology leadership roles, suggesting a transformative period ahead for the legal industry.

Transcript

Continue Reading Leveraging Behavioral Science in Legal Tech: Wendy Jephson of Let’s Think

This week, we welcome Gabriela “Gaby” Isturiz—a serial entrepreneur, legal tech pioneer, and co-founder of The XX Fund. Gaby’s impressive background includes building multiple high-growth SaaS companies that were acquired by Fortune 500 firms, and her transition into venture capital has fueled a mission to support women-led startups. The conversation sets the stage by delving into the rapid evolution of legal tech, with a special focus on the challenges and opportunities presented by generative AI.

Gaby dives into the transformative impact of generative AI on the legal tech landscape. She highlights how startups are racing to adopt the latest AI capabilities yet warns that simply labeling a product as “AI-powered” does not guarantee success. Drawing on research that compared customer responses to landing pages with and without explicit AI mentions, she underscores the critical importance of balancing technological buzzwords with clear, tangible value propositions. For enterprise customers, the promise of AI must translate into concrete benefits rather than inflated expectations.

The discussion then shifts to the hurdles of scaling a legal tech business. Gaby explains that the journey from achieving problem-solution fit to securing product-market fit involves a series of challenges—from attracting early customers and retaining them, to navigating the complexities of scaling operations and talent acquisition. In an industry where incumbents hold significant distribution advantages, Gaby advises startups to adopt a laser-focused approach. By outperforming established players in specific niches and iterating rapidly, nimble startups can gain a foothold even against the so-called 800-pound gorillas of the market.

A significant portion of the episode is dedicated to exploring the mission behind The XX Fund. Gaby shares her personal journey—from leaving a high-paying role to build solutions that truly matter, to her realization that mentorship and strategic investment could empower the next generation of women founders. She explains how The XX Fund specifically targets early-stage tech and tech-enabled companies with valuations under $10 million, aiming to address the stark funding disparities faced by women-led ventures. Gaby’s passion for providing both capital and access resonates throughout the conversation, as she emphasizes that creating an inclusive ecosystem benefits the entire industry.

Looking ahead, Gaby offers a forward-looking perspective on the future of legal tech and professional services. She predicts that while technological advancements like AI will continue to disrupt workflows and streamline operations, the real challenge lies in mastering go-to-market strategies. Legal tech startups must not only innovate but also clearly communicate the value of their solutions to a market inundated with new tools and applications. Gaby’s crystal ball insight reminds us that success in this rapidly changing environment depends on a delicate balance between technological prowess and strategic customer engagement, ensuring that innovation translates into sustainable growth.

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Links:

Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

TRANSCRIPTContinue Reading The Fund XX’s Gabriela Isturiz on AI, Scaling, and Empowering Women Entrepreneurs

In this year-end episode of The Geek in Review, hosts Marlene Gebauer and Greg Lambert are joined by legal tech experts Niki Black, Principal Legal Insight Strategist at AffiniPay, and Sarah Glassmeyer, Director of Data Curation at Legal Technology Hub, to recap the top stories of 2024. From the evolution of generative AI in legal tech to groundbreaking acquisitions, the conversation delves into the successes and challenges that shaped the year in the legal industry.

The discussion kicks off with a look at AI’s growing role in legal research and practice management. Greg recalls the controversial Stanford report that questioned the reliability of AI tools marketed as hallucination-free. The guests explore the importance of unbiased evaluations, the complexity of defining legal research, and the rapid pace of AI development that often outpaces regulatory and academic studies. Sarah highlights the need for peer-reviewed analysis to guide the effective use of these tools, while Niki emphasizes the user-friendly interfaces that generative AI brings to legal software.

Marlene shifts the conversation toward the challenges of integrating AI into law firms’ existing frameworks. The hosts and guests discuss the hesitancy of document management systems to adopt generative AI due to trust and security concerns. Niki and Sarah examine how firms are adapting to AI by organizing data more effectively and addressing client expectations. They also reflect on the potential of AI to bridge access-to-justice gaps, with tools that empower self-represented litigants and underserved communities.

The episode takes a closer look at notable mergers and acquisitions in 2024, such as Bloomberg’s acquisition of Dashboard Legal and Thomson Reuters’ purchase of SafeSign Technologies. Sarah raises concerns about the consolidation of the legal tech market, warning of diminished innovation and competition. Niki observes how cloud-based technologies have facilitated these integrations, making it easier for companies to offer comprehensive solutions that touch multiple aspects of legal practice.

Wrapping up, the group forecasts trends for 2025, including regulatory developments around AI and shifting priorities within law firms regarding tech adoption. While some predictions are cautious, like Sarah’s concern over the impact of external political factors on the tech workforce, others remain optimistic about the growing sophistication of legal tech. The episode concludes with reflections on how the industry can better prepare junior lawyers and law students to navigate an increasingly AI-driven landscape.

Join Marlene, Greg, Niki, and Sarah for this insightful look back at 2024 and an exciting glimpse into the year ahead. As always, we thank our listeners for tuning in, and we encourage you to share this episode with colleagues and connect with us on LinkedIn or Blue Sky!

Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠

Twitter: ⁠⁠⁠⁠⁠@gebauerm⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠@glambert
⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com
Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠

TRANSCRIPT

Continue Reading Sarah Glassmeyer and Niki Black on Legal Tech in 2024 – Highlights, Hiccups, and Hopes for 2025

If you’ve been around the legal tech block a time or two, you’ve probably noticed a familiar pattern: We deploy technology to better understand and streamline the law as we know it. Legal analytics platforms sift through case law, AI-driven tools tackle contract review and due diligence, and blockchain-driven “smart contracts” hold the promise of self-executing agreements. But here’s a shift you might not have considered: It’s not just about making sense of the legal texts we already have. It’s about the laws themselves evolving to fit the tools we’re building.

Most of us think of legal technology as something that reacts to what Congress and courts produce. But what if tomorrow’s legislative drafters start structuring statutes—right from the get-go—in a code-like, machine-friendly manner? Over time, lawmakers might take their cues from how AI and automated reasoning systems process text. They could craft statutes with hyper-structured logic, standardized definitions, and reduced interpretive leeway. This would be more than just a stylistic choice: it could fundamentally reshape the balance of power among the branches of government and the role of agencies.

Courts and the Waning Ambiguity
Traditionally, the courts have a big job: interpret ambiguous statutes, reconcile conflicting provisions, and apply legal canons to unpack what Congress might have meant. If laws read more like neatly organized code—complete with precisely defined triggers, conditions, and outcomes—the courts’ interpretive heavy lifting could be significantly reduced. Judges would still have their constitutional role: to say what the law is and to apply it to specific facts. But if there’s less wiggle room, their work might look more like verifying whether the facts meet the clearly stated criteria, rather than engaging in lengthy interpretive gymnastics. While that doesn’t strip the courts of their authority, it does streamline their function. They become less about discovering meaning and more about confirming that a given scenario fits the predetermined parameters.

Agencies and the Loss of Regulatory Latitude
This shift could also ripple through the administrative state. Right now, agencies benefit from statutory ambiguity to interpret and fill in the gaps. They set rules and policy through their regulatory authority, often receiving deference from courts in recognition of their expertise. But if statutes are drafted with fewer interpretive grey areas—each statutory provision carefully defined and logically consistent—agencies may find themselves with less room to maneuver. The “we’ll fill in the details” model of agency rulemaking loses steam when Congress provides the details up front.
Continue Reading When Law and Legal Tech Start Writing Each Other’s Code

Once again, hallucinated citations are not just for lawyers. A recent Minnesota case highlighted the issue of GenAI hallucinations when it come to making up things to fit the narrative of its users. In this situation, a prestigious Stanford University Professor, Jeff Hancock, founding director of the Stanford Social Media Lab submitted an affidavit…