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

This week we welcome Jane Oxley, Chief Revenue Officer at Smokeball, to discuss the pivotal role of communication in legal organizations and how AI is transforming legal practice management. While normally in Australia, we were lucky enough to find Jane while she was working in Chicago, Jane shares her global perspective on communication challenges, bridging time zones, and the creative ways Smokeball leverages technology to streamline law firm operations. Co-host, Greg Lambert kicked off the show by introducing the concept of “Lambert’s Law,” highlighting that “all problems are communication problems,” setting the tone for an insightful discussion on organizational efficiency.

Jane explains how effective communication structures can reveal the health of an organization, whether through Slack’s rapid exchanges or more traditional law firm channels like email and face-to-face meetings. She notes the unique challenges faced by smaller firms, particularly their focus on casework over internal collaboration. Smokeball addresses these needs by integrating AI tools that help firms manage cases, streamline communication, and reduce administrative burdens, allowing lawyers to feel more in control of their workflows.

Jane Oxley and Marlene Gebauer also discuss the role of AI in enhancing productivity and profitability. Jane describes Smokeball’s AI tool, Archie, which helps automate document creation, email drafting, and summarization tasks. With AI handling routine work, lawyers can dedicate more time to client interaction and higher-value tasks. This shift not only increases efficiency but also helps smaller firms bill more accurately for their time—a long-standing challenge in the legal industry.

Addressing the potential impact of AI on the billable hour, Jane shares her perspective on the slow but inevitable shift toward value-based billing. She emphasizes that while AI enhances efficiency, widespread change in billing models requires education and a mindset shift. Some firms have begun experimenting with alternative billing structures, but the transition is gradual and nuanced, varying by practice area. Ultimately, AI tools empower firms to deliver better client service and justify their fees confidently.

Finally, the discussion highlights ethical considerations in adopting AI, particularly regarding client data privacy and regulatory compliance. Jane advises firms to be vigilant in choosing trusted AI providers and implementing safeguards. She predicts that AI will amplify client expectations for efficiency and responsiveness, but the human side of law—empathy, communication, and trust—will remain irreplaceable. By embracing AI to manage routine tasks, firms can focus on delivering exceptional client experiences, making the human element the true winner in this evolving landscape.

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

TRANSCRIPT

Continue Reading Communication, AI, and the Human Side of Law: Insights from Smokeball’s Jane Oxley

[Ed Note: We were holding off on publishing this episode because we were waiting on the official announcement that Kara Peterson and Rich DiBona of Descrybe.ai were the Silver Anthem Award winners in Best Use of AI from the International Academy of Digital Arts & Sciences! Congratulations to Kara and Rich for the prestigious award! – GL]

In this episode of “The Geek in Review,” we welcome Kara Peterson and Richard DiBona, the dynamic married duo behind Descrybe.ai. Descrybe is an AI-powered legal tool aimed at democratizing access to legal information, particularly by providing summarized legal decisions that make case law more accessible to everyone. The conversation centers around how Descrybe was created, its mission, and the challenges and opportunities involved in developing a legal tech tool that truly serves its users.

Kara and Rich share the story of how Descrybe began as a personal project sparked by a challenging legal issue they faced themselves. Rich, a software engineer, started experimenting with AI summarization of judicial opinions and was struck by how well it worked. Over time, this experiment evolved into Descrybe—a platform that not only delivers quick case law summaries but also enhances accessibility through simplified language and multilingual support. They delve into the technical challenges of managing massive datasets of judicial opinions and ensuring that their platform remains accurate and reliable.

The development of Descrybe has been heavily influenced by user feedback, which Kara and Rich emphasize throughout the episode. They explain how advisory feedback has been instrumental in shaping key features, such as Spanish translations and simplified summaries, which make the platform more accessible to non-native English speakers and those with varying levels of reading proficiency. Their genuine commitment to evolving the product based on user needs is a core aspect of Descrybe’s mission to democratize legal information.

A particularly intriguing segment of the episode focuses on Rich’s perspective on the legal tech market and his skepticism regarding companies that label their offerings as “LLMs” (large language models) without meeting the threshold of a true LLM. Kara adds her insights on the broader mission of Descrybe: not only to innovate within legal tech but also to address access to justice as a public health issue. They both underscore the importance of responsible AI development, ensuring that new technology genuinely benefits society rather than exacerbating existing inequalities.

Towards the end of the episode, Kara and Rich discuss the future of AI in the legal industry and the role Descrybe aims to play. They express optimism that AI can be a powerful force for improving the legal system, especially if it is used to automate lower-level tasks and free up lawyers to focus on more impactful work. They also highlight the potential for AI to facilitate alternative dispute resolutions, diverting some cases from the courts altogether. Kara concludes on a hopeful note, emphasizing that if the right choices are made now, AI could be a driving force for positive systemic change within the legal field.

This conversation with Kara Peterson and Richard DiBona offers a candid, behind-the-scenes look at building Descrybe—a legal tech solution driven by a mission to improve access to justice. Their commitment to making complex legal information understandable for everyone shines through, making this episode a must-listen for anyone interested in the intersection of technology, law, and social good.

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

TRANSCRIPT

Continue Reading Democratizing Law with Descrybe.ai’s Kara Peterson and Rich DiBona

This week we welcome Tom Martin, founder of LawDroid, a pioneering AI platform aimed at transforming legal workflows through automation and no-code solutions. Tom shares his journey from practicing law to creating LawDroid, which supports legal professionals with tools designed to streamline tasks, enhance client communication, and automate document preparation. Throughout the conversation, Tom emphasizes how LawDroid is reshaping legal tech and access to justice, especially for underserved communities, by integrating generative AI and language processing into accessible, customizable applications.

Tom dives into the advantages of generative AI in legal practice, noting how tools like LawDroid take the heavy lifting out of document summarization, drafting, and other language-intensive tasks. He describes how AI-driven “agents” provide round-the-clock assistance to clients, effectively extending support beyond traditional working hours. The discussion also covers Tom’s views on AI’s potential to increase accessibility in the legal field, particularly through collaborations with legal aid organizations, allowing individuals to quickly find information and resources following natural disasters or legal challenges.

Beyond practical tools, Tom discusses how LawDroid leverages no-code options, enabling law firms of all sizes to customize solutions without heavy technical knowledge. He highlights LawDroid’s AI receptionist, lead capture bots, and document automation features, which empower legal professionals to serve clients more efficiently and affordably. Tom also shares insights into how LawDroid’s adaptability allows it to serve various legal practices, from estate planning to client intake processes, with options for those looking for hands-on or fully supported implementations.

The conversation further explores the implications of AI on the legal profession’s future, including both the potential for job transformation and the significant efficiency gains that AI brings. Tom reassures listeners that while AI may shift certain roles, it ultimately enhances lawyers’ ability to focus on complex and meaningful work, opening doors for expanded client bases and reduced costs for legal representation. He also speaks to data security, underscoring LawDroid’s commitment to protecting client data and privacy in compliance with ethical standards.

To conclude, Tom shares his thoughts on the importance of fostering a collaborative legal tech community, reflected in his co-founding of the Legal Technology Awards. He underscores the need to continually recognize leaders in the industry who are committed to social impact, innovation, and improving access to justice. As the interview wraps up, Tom looks forward to future developments in AI, advocating for an inclusive legal system that leverages technology to guarantee access to justice for all.


For more insights from Tom Martin and to learn about LawDroid, check out the links below.

Links & Resources

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

TRANSCRIPT

Continue Reading Tom Martin on LawDroid’s Impact in Legal Tech

In this episode of The Geek in Review, hosts Marlene Gebauer and Greg Lambert are joined by Carolyn Austin, Director of Practice Innovation at K&L Gates; Brendan McDonnell, Partner at K&L Gates; and Abdi Shayesteh, CEO of AltaClaro. The conversation delves into innovative legal education strategies and the integration of generative AI in legal practice, highlighting how experiential learning platforms are shaping the future of legal training.

Abdi introduces AltaClaro’s experiential learning platform, designed to make lawyers practice-ready through simulation-based training. Utilizing a “Learn, Do, Review” methodology, the platform presents associates with real-world assignments, provides feedback from seasoned practitioners, and facilitates live review sessions. This approach aims to build confidence, enhance critical thinking skills, and improve efficiency among legal professionals by immersing them in practical scenarios that mirror actual legal work.

Brendan discusses K&L Gates’ longstanding commitment to innovation and education within the legal industry. He reflects on the firm’s history of embracing technology—such as developing one of the first e-discovery platforms—and its proactive stance on integrating generative AI into legal workflows. Recognizing the transformative potential of AI, K&L Gates formed an AI Solutions Group to prepare attorneys and allied professionals for the technological advancements reshaping legal practice.

Carolyn explains how K&L Gates collaborated with AltaClaro to develop specialized training programs focused on generative AI, including prompt engineering and supervisory courses. These programs address the challenges partners and managers face when integrating AI tools into their workflows, emphasizing ethical considerations, risk assessment, and effective supervision. The partnership ensures that all firm members, from associates to senior partners, are equipped with the necessary skills to use AI responsibly and effectively.

The guests explore the broader implications of AI adoption in the legal field, discussing challenges such as change management, ethical obligations, and the need for data-driven practices. They highlight the importance of fostering a culture of continuous learning and collaboration to stay ahead in a rapidly evolving industry. Looking toward the future, they express optimism about AI’s potential to enhance legal services, improve access to justice, and drive innovation, emphasizing the critical role of education and adaptability in this transformation.

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Twitter: ⁠⁠⁠⁠⁠@gebauerm⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠@glambert

⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com

Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠

 

TranscriptContinue Reading Bridging Legal Practice and AI: K&L Gates and AltaClaro Innovate Legal Training

This episode of “The Geek in Review” explores MinterEllison’s strategic adoption of Microsoft Copilot, delving into the practical implications and challenges of implementing generative AI within the legal industry. Guests Amber O’Meara, Head of Innovation, and Tim Andrews, Director of IT Operations, discuss the firm’s multifaceted approach to generative AI, emphasizing its potential to enhance client experiences, boost productivity, and empower their legal professionals by automating mundane tasks and allowing them to focus on more complex legal work. This strategic vision, endorsed by the firm’s leadership, drove their decision to participate in the Copilot Early Access Program, providing valuable insights and shaping their implementation strategy.

One of the key takeaways is MinterEllison’s measured and strategic rollout of Copilot. Rather than a firm-wide deployment, they opted for a phased approach, prioritizing specific personas and departments that would benefit most from the technology. Initial challenges included data jurisdiction limitations, the inherent “fear factor” of adopting new technology, and user inertia stemming from unmet expectations. The firm addressed these obstacles through a comprehensive training program, incorporating a dedicated “Gen AI Time” initiative, collaborative sessions with Microsoft, and a “reverse mentoring” program for partners. This multifaceted approach, coupled with internal communication and a knowledge-sharing platform, fostered enthusiasm and addressed concerns, leading to impressive user satisfaction and reported time savings.

MinterEllison’s training program played a crucial role in the successful adoption of Copilot. Combining internally developed resources with vendor-provided training, the program addressed both the technical aspects of using Copilot and the art of prompt engineering. The firm’s innovative approach of dedicating fee-credited time for generative AI training proved highly effective, incentivizing participation and demonstrating leadership commitment. This investment in their people, combined with gamification elements like their internal “Mint Coin” cryptocurrency, fostered a competitive spirit and encouraged active engagement in the learning process.

The podcast highlights the importance of prompt engineering in maximizing the effectiveness of Copilot. While initial user expectations often fell short due to simplistic prompts, the training program emphasized the need for detailed and nuanced prompts to achieve optimal results. This understanding, coupled with the recognition that Copilot excels at content generation rather than computational tasks, significantly improved user satisfaction. The firm also acknowledges the importance of maintaining a “human in the loop” to validate outputs and mitigate potential inaccuracies or “hallucinations” generated by the AI. They anticipate the future ability to share custom prompts within the firm, further streamlining workflows and enhancing collaborative efforts.

Finally, the conversation touches on the broader impact of generative AI on the legal industry. MinterEllison envisions a future where AI tools are widely adopted, reshaping traditional law firm models and creating new roles focused on innovation and technology. They emphasize the importance of ongoing collaboration, both internally and within the legal community, to address client privacy concerns, share best practices, and navigate the evolving landscape of AI in law. The firm’s commitment to responsible AI usage, guided by their “Lighthouse Principles” and an AI steering committee, underscores their dedication to ethical implementation and client data security. They also see the potential for generative AI to contribute to access to justice initiatives and support social impact work, highlighting the transformative potential of these technologies beyond the traditional boundaries of legal practice.

Links:

Amber (Burgess) O’Meara | LinkedIn
Tim Andrews | LinkedIn
MinterEllison: Overview | LinkedIn
MinterEllison – MinterEllison

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Twitter: ⁠⁠⁠⁠⁠@gebauerm⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠@glambert

⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com

Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠

 

Transcript

Continue Reading Inside MinterEllison: A Case Study in Copilot Adoption with Amber O’Meara and Tim Andrews

This week, we welcome back Serena Wellen, Vice President of Product Management at LexisNexis Legal and Professional, to discuss the newly launched Lexis Protégé tool. This advanced AI assistant is designed to enhance legal professionals’ workflows by personalizing responses based on individual user profiles, including practice areas, jurisdictions, and document management systems. Wellen emphasizes that the future of AI lies in personalization, enabling Protégé to understand user habits and preferences, thereby improving its utility in legal settings.

Serena elaborates on how Protégé collects user data and integrates with existing document management systems (DMS). The setup process includes heavy lifting from LexisNexis, ensuring that the AI understands user roles and permissions, and can access relevant documents seamlessly. She stresses the importance of transparency and user control in the personalization process, allowing users to opt in or out of certain features as they see fit. This approach ensures that the use of Protégé aligns with the unique needs of individual law firms and practitioners.

Integration with Microsoft 365 applications like Word and Outlook is another significant feature of Protégé. Wellen explains that legal professionals spend a considerable amount of their time in Microsoft tools, and the AI’s ability to enhance productivity within these familiar environments is crucial. With features such as smart drafting tools, automated legal requests, and contextual awareness of user actions, Protégé aims to streamline workflows and reduce the time spent on repetitive tasks. The seamless connection between Protégé and Microsoft applications represents a shift toward more efficient legal research and document drafting processes.

Serena also addresses the pressing concerns of security, privacy, and data protection in AI applications. LexisNexis prioritizes the security of customer data by utilizing advanced encryption and private cloud infrastructures. Importantly, she clarifies that customer data is not used to train their models, maintaining confidentiality and trust. By ensuring that users have control over their data and how it is used, LexisNexis aims to alleviate fears surrounding the adoption of AI technology in the legal sector.

Finally, she shares insights on future developments for Protégé, including the incorporation of voice commands and horizon scanning features, which will further enhance legal research capabilities. As AI continues to evolve, Wellen envisions a future where legal professionals can engage with technology in more intuitive ways, allowing them to focus on the complexities of their work without being bogged down by manual processes. Overall, the conversation highlights the transformative potential of AI in the legal industry, underscoring LexisNexis’s commitment to supporting legal professionals with innovative, personalized tools.

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Twitter: ⁠⁠⁠⁠⁠@gebauerm⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠@glambert

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Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠

 

Transcript

Continue Reading Unveiling Lexis Protégé’s Personalized AI Revolution With Serena Wellen

This week we talk with Ed Walters from VLex to explore the Autumn 2024 release of VLex’s Vincent AI platform. Ed discusses a series of transformative updates that are turning Vincent AI from a legal research tool into a comprehensive platform that integrates drafting, transactional, and research tasks. These updates include new workflow tools, redlining capabilities, and an innovative feature called Prompt Assist, which enables users to have more control over the AI’s responses by asking follow-up questions to refine their queries. This added transparency and auditability make Vincent AI more user-friendly and trustworthy, as Ed highlights throughout the discussion.

One key feature of the Autumn 2024 release is the introduction of multi-turn conversations within the AI’s responses. This enhancement allows users to continue asking follow-up questions, enabling a deeper exploration of legal issues without needing to start from scratch each time. We discuss how this mirrors tools like Perplexity, where AI can provide follow-up prompts to help users navigate complex inquiries. Vincent AI goes further by asking clarifying questions to ensure the results are tailored to the specific needs of the user, such as identifying which party is at risk in a contract.

Ed emphasizes that legal professionals are not just conducting research for academic curiosity—they need actionable tools integrated into their workflow. Vincent AI’s new capabilities, such as drafting briefs or analyzing redlines, reflect this shift by focusing on providing immediate, actionable insights. Ed explains how these workflow tools enable lawyers to dive straight into their work instead of first sifting through research results, creating a more efficient and integrated process for legal professionals.

A significant highlight of the episode is the introduction of VIDA (Vincent in Docket Alarm), a new feature that combines VLex’s Vincent AI with Docket Alarm’s vast repository of court documents. This integration allows legal professionals to conduct deeper analyses of litigation trends, law firm strategies, and individual lawyer performance, offering unprecedented insight into how cases are being handled. Ed humorously mentions a suggestion from the VLex team to call this feature “DIVA” (Dockets in Vincent AI), but for now, it remains VIDA. This new development provides law firms with enhanced analytical capabilities to explore their own practices and those of competitors.

Finally, the episode concludes with Greg and Ed discussing the broader implications of these tools for law firms, especially in managing large, multi-jurisdictional projects. Ed explains how the 50-state survey feature, a traditionally burdensome task, can now be completed in minutes, making it easier for firms to scan legal landscapes across the U.S. and globally. As Greg points out, this capability not only streamlines the process for legal teams but also creates new opportunities for firms to offer innovative services to clients. Throughout the episode, the conversation showcases how Vincent AI’s latest updates are pushing the boundaries of legal technology.

Links:
https://www.vlex.com/vincent

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Contact Us: 

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Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading vLex’s Autumn ’24 Update: Show and Tell with Ed Walters

This week, we bring back our original TGIR podcast guest, Zena Applebaum. Zena is now the Senior Vice President of Market Development at Harbor, and we discuss the ongoing transformation driven by technological advancements and strategic shifts. Her insights provide a valuable perspective on the challenges and opportunities facing legal professionals as they navigate these changes.

Zena talks about the integration of generative AI (Gen AI) into legal research tools, particularly at Thomson Reuters, where she previously worked. She emphasizes the challenges in managing expectations around AI’s capabilities while ensuring that the products deliver on their promises. The legal industry has high expectations for AI to simplify the time-consuming and complex nature of legal research. However, Applebaum highlights the need for balance, as legal research remains inherently challenging, and overpromising on AI’s potential could lead to dissatisfaction among users.

Zena was one of the first in the legal market to understand the role of competitive intelligence in shaping product development and market strategies. Applebaum reflects on her experience at Thomson Reuters, where she applied competitive intelligence not just to monitor competitors but to anticipate market dynamics and plan for the future. This approach allowed Thomson Reuters to stay ahead by avoiding surprises and making informed decisions that aligned with long-term goals. Her emphasis on listening to customer needs and understanding market trends underscores the importance of strategic foresight in the legal tech industry.

We also talk about Zena’s move over to Harbor, where she now focuses on market development. She explains that her move was motivated by the opportunity to impact a smaller, more agile company and leverage her legal domain expertise in a broader context. At Harbor, Applebaum aims to redefine the company’s value proposition and position it as a holistic service provider for the legal industry. This shift from a product-centric role to a more strategic, client-focused position highlights the evolving nature of legal services and the increasing demand for comprehensive solutions that address various aspects of legal practice.

Furthermore, the podcast explores the potential impact of AI on the legal landscape and Harbor’s role in helping law firms and legal departments adapt to these changes. Applebaum notes that while AI has not yet revolutionized the industry as quickly as some anticipated, it is gradually driving efficiency and reshaping how legal professionals approach their work. Harbor’s technology-agnostic approach allows it to assist firms in optimizing their tech stacks and preparing for the future, whether through AI, cloud migration, or other technological advancements. This adaptability positions Harbor as a key player in guiding firms through the ongoing digital transformation.

Zena shares her outlook on the future of the legal industry, particularly the growing sophistication of in-house legal departments and the increasing competition for legal talent. She predicts that as AI continues to enhance efficiency and drive changes in the industry, the demand for skilled legal professionals will rise. Law firms will need to adapt to these shifts by embracing new technologies and rethinking their strategies to remain competitive in a rapidly evolving market.

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Contact Us: 

Twitter: ⁠⁠⁠⁠⁠@gebauerm⁠⁠⁠⁠⁠, or ⁠⁠⁠⁠⁠@glambert

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Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠

Transcript

Continue Reading AI, Market Dynamics, and the Future of Legal Services with Harbor’s Zena Applebaum