Content Library
Discover the latest trends and insights in the legal industry. Learn more about Generative AI, Delivering Legal Services and Strategy and Scale in a Complex World.

Content Library
This resource originated as a primary-source appendix for presentations on Generative AI we began delivering in December 2022. We are still going (700 slides and counting). We offer introductory presentations for larger audiences still getting up to speed. We partner with law firms on CLEs that address the many legal and regulatory considerations that add to complexity and impact strategy. We lead high-level conversations among informed stakeholders re real-world use cases. Feel free to reach out.
As the presentation has grown, so has the appendix, to the point where we’ve added both supplemental material (that is not in the presentation) and maintained historical materials (fallen out of the presentation given how quickly the topic moves). The resource is comprehensive in-so-far as it contains a primary source for every slide in the presentation. But we think a truly comprehensive resource that encompasses the vast and rapidly evolving subject of Generative AI would be impossible. We’re giving you a lot. But we would never pretend to be offering everything. Though if you see a glaring hole, feel free to reach out. We’re always looking to make this resource more valuable.
This is all completely free.
Yet we are consistently asked how LexFusion makes money. If you are not paying for the product, you are the product has become common sense. Fair enough.
We accelerate legal innovation. LexFusion curates promising legal innovation companies. We invest. They also pay us. We support strategy, product, sales, marketing, events, etc. For example, Macro joined LexFusion a year before their $9.3m seed round, led by Andreesen Horowitz. Similarly, Casetext joined LexFusion two years before their $650m cash acquisition by Thomson Reuters. While the primary credit always belongs to the founders and their teams (we identify and then accelerate winners), they, like our other members, will enthusiastically confirm that LexFusion played a material role in rapidly advancing their products and business.
Much of our value to our legal-innovation clients is premised on our unparalleled market listening. We frequently provide free presentations and consultations, absent any sales agenda, to law departments and law firms to foster conversations that augment our market insights. This is where the confusion sets in. Our customers (law depts/firms) are distinct from our clients (legal innovation companies). Because our customers don’t pay us, they want to know where the money comes from.
We regularly meet with ~500 law departments and ~300 law firms. LexFusion is, ultimately but not directly, compensated based on the value we derive from these interactions. For our business to be sustainable, the exchange of value must merit their scarce time over repeat interactions—hence the free content and consults. If you know us, you probably stopped reading already. If you don’t know us, we hope the depth of this free content and some testimonials from our friends are sufficient to establish are bona fides.
To the extent you are interested in an even deeper dive, Bill Henderson wrote a wonderful longform piece on our business model, which we followed up with an even longer piece on the centrality of trust to the LexFusion value proposition. We have yet to perfect our elevator pitch. But we do our best to always be transparent. Without building and maintaining trust, our business model crumbles. Our legal-innovation clients will cycle through—inherent in our model. Our sole enduring asset is our relationships with our customers. We are people centric, and live our motto “better together!”
Long heading is what you see here in this feature section
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Caught Our Attention
Companies seeking to cut costs by using free, open-source alternatives to OpenAI's AI technology are finding that it can be more expensive. An example is Cypher, whose use of an open-source model led to a $1,200 bill, while using OpenAI's GPT-3.5 Turbo cost only $5 per month for the same workload.


Microsoft's use of automation and artificial intelligence (AI) to curate news on its homepage has resulted in the amplification of false and bizarre stories. The company's reliance on AI has raised concerns about the responsible use of the technology and its impact on the journalism industry.


Microsoft's use of automation and artificial intelligence (AI) to curate news on its homepage has resulted in the amplification of false and bizarre stories. The company's reliance on AI has raised concerns about the responsible use of the technology and its impact on the journalism industry.


Microsoft has added a multimodal capability to its small language model, Phi 1.5, allowing it to interpret images. This breakthrough shows that less expensive AI technology can have similar features to larger models like OpenAI's GPT-4. The smaller models are more cost-effective and can help democratize access to AI technology.


The Biden-Harris administration has issued an executive order on artificial intelligence, addressing AI benefits and risks. It covers licensing, liability, registration, reporting, defending attack surfaces, transparency, antitrust enforcement, and incentives for AI development. The EO is seen as good news for openness in AI, but its impact will depend on implementation.


OpenAI's recent update to its AI chatbot, ChatGPT, allowing subscribers to upload PDFs for summarization, has raised concerns among startups that have built products using OpenAI's system to process PDFs. This move has the potential to disrupt and potentially wipe out these businesses, highlighting the power dynamics in the AI industry.

The Biden administration released an executive order outlining safety and security requirements for the use of AI technology. The order could impact AI-focused startups, including the need for red-team testing, standards for biological synthesis screening, labeling AI-generated content, support for AI-enabled educational tools, and streamlining visa criteria for skilled immigrants.


Yann LeCun, chief AI scientist at Meta, criticizes AI leaders Sam Altman, Demis Hassabis, and Dario Amodei for attempting to control the AI industry through regulatory capture. LeCun warns that if these efforts succeed, a small number of companies will control AI, posing a threat to democracy and cultural diversity.


The article discusses the concept of computational thinking and the development of computational language. It explores the potential of AI and automation, the challenges of predicting complex systems, and the importance of human input in defining goals and directions in the computational realm.


President Joe Biden is set to issue an executive order that will involve federal agencies in monitoring the risks and uses of artificial intelligence (AI). The order aims to expand the use of AI in various sectors while also implementing checks to ensure data privacy, cybersecurity, and fairness. It will also address issues related to competition, privacy, immigration, microchip manufacturing, telecoms, education, housing, copyright, and labor. The order grants federal agencies influence in the US market through their buying power and enforcement tools.


Tech companies are engaging in unrestrained AI development, risking humanity's future, according to Max Tegmark, an AI researcher. He called for a pause in building powerful systems and the implementation of AI safety standards. The paper by 23 AI experts argues for licensing and halting development of exceptionally powerful AI models.


The article discusses the limitations of large language and language-and-vision models in comparison to human capabilities in tasks such as tool innovation and causal inference. While the models can imitate and recognize patterns, they struggle with abstract reasoning and innovation. Understanding these differences can provide insights into natural intelligence and AI.

Microsoft plans to spend $3.2 billion in Australia over two years to expand its AI and cloud computing capabilities. The investment includes increasing computing capacity, supporting skills training, and enhancing cyber threat information-sharing. The move comes as Australia considers AI regulation.


Microsoft's AI growth outperformed Google in the September-quarter results, with Azure's cloud unit experiencing accelerated growth due to increased consumption of AI-related services. In contrast, Google Cloud's growth slowed, possibly due to customers reducing spending. Microsoft's partnership with OpenAI has given them an edge in the AI market. For more details, see the article here [https://www.theinformation.com/articles/the-briefing].


The article discusses the impact of AI on CEOs and their businesses. It highlights the need for CEOs to set realistic expectations, manage resources effectively, and align their AI strategy with their current capabilities. It also emphasizes the importance of understanding the new economic landscape, reassessing risks, and making strategic investments for long-term success.


The document discusses various metrics for evaluating machine unlearning techniques, including change in accuracy, time cost, degree of removal, other effects on the model, and data privacy-related metrics. It also highlights the need for better metrics in interpretability and model control.


Business schools are incorporating AI education into their curriculum to prepare future leaders. A survey found that 74% of business schools teach AI subject matter. However, teaching AI poses challenges due to its evolving nature. The article highlights specific AI-related programs at Wharton School of Business and Kellogg School of Management. The use of AI in various industries is discussed, along with the potential impact on future work activities. The article also mentions the need to approach AI ethically and consider its limitations. Overall, business schools have the potential to shape the future trajectory of AI.

OpenAI's text-to-image model, DALL-E, has gained significant attention and popularity. It has been followed by other similar models, and the technology has sparked creativity and controversy. While the models have limitations, they are seen as a step towards artificial general intelligence and have the potential to revolutionize creative industries.


A peer-reviewed analysis estimates that by 2027, AI servers could consume between 85 to 134 terawatt hours of electricity annually, which could contribute to carbon emissions. California has passed climate disclosure laws requiring companies to disclose their carbon emissions and climate-related financial risks.


Southeast Asian countries are taking a business-friendly approach to AI regulation, in contrast to the EU's push for globally harmonized rules. The Association of Southeast Asian Nations (ASEAN) is circulating a draft "guide to AI ethics and governance" to technology companies for feedback. The guide is voluntary and emphasizes cultural differences and innovation. ASEAN's approach differs from the EU's AI Act, and individual countries will determine their own policies. The EU aims to establish a global standard for AI governance, but other Asian nations have also expressed relaxed approaches to AI regulation.


The article discusses the evolution of Moore's Law into "Moore's Precept," the role of GPUs in computing, export controls on advanced AI chips to China, and the importance of EUV lithography in semiconductor development.


Amazon is rolling out its updated Sequoia robotics system at fulfillment centers to boost delivery speed by 25%. These robots are designed to work alongside humans, not replace them. Amazon highlights its commitment to human workers despite testing robots like Digit. The new system also improves safety by relocating containers to ergonomic workstations.


OpenAI is discontinuing its Arrakis project, which aimed to create a smaller chatbot model. The reasons could include concerns about quality, training costs, or a shift in focus. This might affect OpenAI's product adoption, and recent research raised trust issues with GPT-3.5 and GPT-4 models. Despite strong revenue, OpenAI may need to consider alternative strategies.


A breakthrough called "Ring Attention" eliminates memory constraints in AI models, enabling them to process millions of words or even videos within a single context window. Traditional models were limited by memory bottlenecks in GPUs, restricting their ability to analyze data. "Ring Attention" was co-authored by a Google researcher, promising to revolutionize AI capabilities, making them more efficient in processing extensive data. This could significantly impact the AI field and expand the potential of AI models.

AI audits are essential in legal tech to ensure fairness, accountability, and compliance. They assess AI systems' transparency, accuracy, and impact on legal decisions. Audits can be conducted before and after deployment, in response to incidents, or regulatory requirements, ensuring responsible AI use in the legal sector.


Meta is emphasizing Llama, its large language model, as an open-source alternative to competitors like Microsoft's GPT and Google's Bard AI. While this approach is unconventional and challenging to value, Meta hopes to attract talent and cut capital expenditures. However, some criticize its licensing agreement and Llama's performance.


Legal tech embraces generative AI, with companies like Deloitte, EY, LexisNexis, and more integrating it into their services, from contract review to research.


Stack Overflow is laying off 28% of its staff as it struggles to achieve profitability. This decision comes after doubling its employee base to over 500 people in response to the generative AI boom in the tech industry. The layoffs are part of a reevaluation of the company's go-to-market strategy and other support teams.


The Equal Employment Opportunity Commission (EEOC) saw a 77% spike in disability discrimination lawsuits in the past fiscal year. Disability cases were the most prevalent, and with the complexity of the Americans with Disabilities Act, experts suggest that employers need to be cautious and well-informed. The EEOC's focus on disability discrimination is expected to continue, along with an emphasis on issues like racial justice and pay equity.


Legal tech embraces generative AI, with companies like Deloitte, EY, LexisNexis, and more integrating it into their services, from contract review to research.


According to a forecast by IDC, spending on GenAI solutions is expected to reach $143 billion in 2027, with a compound annual growth rate of 73.3% over the 2023-2027 period. GenAI spending will account for 28.1% of overall AI spending and become a foundational element in enterprises' digital business control platforms.


BTSbot, an AI tool, automates supernova detection and classification, eliminating human intervention. Developed by an international team led by Northwestern University, it accelerates the analysis of supernova candidates.


OpenAI's yearly revenue has grown from $28 million to $1.3 billion, marking a significant financial ascent for the company. Source: venturebeat.com [http://venturebeat.com/]


Hollywood actors are on strike over AI and have endorsed the 'NO FAKES ACT'. The article discusses OpenAI's financial success, with a revenue increase from $28 million to $1.3 billion annually.


Researchers found that safety measures for large language models like OpenAI's GPT-3.5 Turbo can be bypassed with fine-tuning, posing AI safety concerns and challenging the assumption that commercial chatbots are inherently safer. Improved mitigation and legal considerations are needed.


OpenAI's yearly revenue has grown from $28 million to $1.3 billion, marking a significant financial ascent for the company. Source: venturebeat.com [http://venturebeat.com/]


Microsoft is offering a $15,000 reward to anyone who can make their Bing AI system malfunction. The goal is to identify vulnerabilities and improve the system's performance.


This study compares the ethical advice given by a human expert with AI-generated advice using the GPT-4 model. The findings show no significant difference in the perceived value of the advice between the two sources, with random subjects slightly preferring the AI-generated advice.

This study compares the ethical advice given by a human expert with AI-generated advice using the GPT-4 model. The findings show no significant difference in the perceived value of the advice between the two sources, with random subjects slightly preferring the AI-generated advice.

Advanced AI models, such as ChatGPT and others, have notable flaws but already demonstrate essential features of Artificial General Intelligence (AGI). These "frontier models" can handle various tasks, languages, data modalities, and learn in-context. Reluctance to acknowledge AGI often stems from skepticism about metrics, alternative AI theories, human exceptionalism, and economic implications.

Clio's 2023 Legal Trends Report reveals clients are more optimistic about AI's impact on legal services than professionals. AI's potential to improve efficiency is recognized, with 51% of lawyers planning to use it. Jack Newton, Clio CEO, emphasizes that AI won't replace lawyers but enhance their work. The report indicates increased productivity and growth in the legal industry. Clio also introduced new AI products.


Meta's unique approach to developing AI puzzles Wall Street, while techies appreciate it.


Microsoft's AI-generated images, including Mickey Mouse involved in sensitive scenarios, raise copyright and ethical concerns. Disney has not commented on this issue, potentially leading to a significant copyright battle.


Walmart is testing generative AI features for shoppers, including a shopping assistant, AI-powered search, and an interior design tool. The shopping assistant offers personalized product suggestions, while the AI search tool understands context to generate relevant lists of items. The interior design assistant combines generative AI and AR technology to help users decorate rooms. These features are part of a broader trend in which companies are incorporating generative AI into their products and services.


The article discusses the need for new safety measures in AI systems due to the lack of effective "guardrails" to prevent harmful consequences. It emphasizes the importance of pausing and reflecting on the risks and potential solutions in AI development.


Creative industry members raise concerns about generative AI's impact, citing copyright infringement, competition with AI-generated works, and the need for legal protection, informed consent, and compensation. They seek regulatory intervention, including explicit opt-in requirements for AI developers.


Law firms at the Legal Geek conference in London discussed the need to communicate GenAI strategies to clients, as clients seek clarity on how the technology is being used. GenAI adoption is essential for law firms to stay competitive. GenAI technology has the potential to reduce reliance on the billable hour, with many firms incorporating the technology into their operations.


The article discusses the potential impact of ChatGPT on programming education. It mentions a survey conducted by Programiz and provides a URL for more information. The article also mentions that it is not in the top 10.


Phone users receive an average of 14 spam calls monthly, driven by AI. Top scams include Amazon impersonation, insurance and Medicare fraud, credit card deceptions, cryptocurrency hoaxes, appeals from fraudulent loved ones, and peer-to-peer payment app scams. The U.K. has the highest spam call rate, followed by the U.S. and Canada. The study analyzed 98 billion calls from January to June 2023 using Hiya's Voice Security Network data.


Suumit Shah, CEO of Dukaan, replaced his customer service team with an AI chatbot and is roasting the former human workers for their inefficiency and cost. Such approaches might lead to significant job loss in call centers, impacting regions like India and the Philippines. Some see this as a boost to productivity, but it also raises concerns about the future of human employment.

Phone users receive an average of 14 spam calls monthly, driven by AI. Top scams include Amazon impersonation, insurance and Medicare fraud, credit card deceptions, cryptocurrency hoaxes, appeals from fraudulent loved ones, and peer-to-peer payment app scams. The U.K. has the highest spam call rate, followed by the U.S. and Canada. The study analyzed 98 billion calls from January to June 2023 using Hiya's Voice Security Network data.


Microsoft's Copilot, an AI assistant for Windows, falls short of the high expectations set by marketing. It's more like a storytelling engine with inaccuracies and limitations, although it has creative potential. Microsoft's decision to include it on every Windows 11 PC's taskbar may raise concerns.


AI watermarking is found to be unreliable, easy to evade, and may not be an effective solution for identifying AI-generated content. Tech companies are exploring watermarking, but the study underscores significant limitations in this approach.


Canada aims to lead in AI regulations, with a voluntary code of conduct for AI companies to build trust while legislation develops. Critics voice concerns over protecting rights and call for public consultation. Minister addresses issues and emphasizes international alignment.


Legal departments face growing workloads but limited budgets. They see technology as a solution, but only 32% report increased budgets for legal tech. Advocacy for investment in legal operations is essential to achieve efficiency and cost savings. Legal leaders must recognize the value of proper resourcing for operational programs. AI can help streamline processes and reduce legal review, allowing resources to focus on high-impact strategic initiatives.


Stack Overflow has laid off more than 100 employees amid the ongoing boom in AI coding.


Google DeepMind's AI model, AlphaMissense, claims to predict 89% of missense mutations as "likely benign or likely pathogenic." The technology aims to aid clinical researchers in disease diagnosis and treatment development, but experts have varying opinions on its complexity and utility.


Amazon is unveiling an updated Alexa powered by a large language model (LLM) for more conversational and capable interactions. The rollout begins with a US preview program and might entail charges for advanced features later. Developers can also harness Alexa's cognitive functions, while dynamic and action controllers enhance interaction with third-party devices.


The article provides guidance for Chief Data Officers (CDOs) on using data to fuel generative AI. It emphasizes the importance of focusing on value, building specific capabilities in the data architecture, ensuring data quality, protecting sensitive data, developing data engineering talent, and tracking progress and metrics.

This document is a webpage with a title and a URL. It mentions a top 10 list but does not provide any further information or content.


Pras Michel claims a lawyer used an AI program to draft a closing argument in a conspiracy case. The article discusses the use of AI in the legal system and its potential impact on poor people.


In 2023, AI's rapid growth, driven by a few key players, has surprised many. Numerous narratives about the AI landscape—like the plateauing of foundation models, open-source dominance, and the belief that only incumbents will succeed—are uncertain. The AI industry remains complex and full of potential.


Cloud providers are considering nuclear power as a sustainable energy source for data centers due to the increasing energy demands of AI. This article provides more information on this topic. (27 words)


Google DeepMind's AI has the ability to identify disease-causing genetic mutations. This breakthrough could have significant implications for medical research and treatment. Source: URL [https://www.stateof.ai/?utm_source=alphasignalai.beehiiv.com&utm_medium=newsletter&utm_campaign=gpt-4-s-new-rival-baidu-reveals-ernie-4]


The article discusses the concept of the wait equation, which evaluates whether it's better to launch a project immediately or wait for advancements. It applies this concept to investment in fast-changing fields like AI, considering the difference between project completion time and the cost of waiting.

This article introduces the course "Generative AI for Everyone" instructed by Andrew Ng. It covers the basics of generative AI, its applications, and its impact on business and society. The course aims to empower learners with the knowledge and skills to use generative AI effectively in their work and daily lives.

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Generative AI
Our Top 10 picks to learn more about Generative AI
Big Tech is going to have to live with more regulation but … regulators have to be wary about killing the goose that laid the golden egg, said University of Michigan law professor Daniel Crane.


AI's history includes the 'AI winter' in the mid-1970s to mid-1980s, marked by reduced interest and funding due to unmet expectations. This period shifted focus from mimicking human intelligence to specific AI applications, emphasizing realistic expectations and sustained investment. Lessons from this era remain relevant for today's AI advancements.


“Don’t exaggerate what your AI can do. And what the FTC means by this is that your performance claims have to have scientific support behind them, artificial intelligence expert Cara Hughes said at a webinar Thursday on the regulatory risks around AI.


While evolving AI models are likely to bring their own set of changes to the insurance industry, such as the creation of new, AI-bespoke policies, until then, companies will have to rely on a portfolio of insurance products for coverage.


Karim Lakhani is a professor at Harvard Business School who specializes in workplace technology and particularly AI. He’s done pioneering work in identifying how digital transformation has remade the world of business, and he’s the co-author of the 2020 book Competing in the Age of AI. Customers will expect AI-enhanced experiences with companies, he says, so business leaders must experiment, create sandboxes, run internal bootcamps, and develop AI use cases not just for technology workers, but for all employees. Change and change management are skills that are no longer optional for modern organizations.

by 3 Geeks (Ryan McClead, Greg Lambert, and Toby Brown) This is part 3 in a 3 part series. Part 1 questions Goldman’s Sachs data showing that 44% of of


I gave a talk on Sunday at North Bay Python where I attempted to summarize the last few years of development in the space of LLMs—Large Language Models, the technology …


With generative AI, we’re already seeing use cases with orders-of-magnitude improvement in time, cost, and performance over previous AI waves.


<p>The 2023 legislative session has seen a surge in state AI laws proposed across the U.S., surpassing the number of AI laws proposed or passed in past legislative sessions. </p>


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Nunc sed faucibus bibendum feugiat sed interdum. Ipsum egestas condimentum mi massa. In tincidunt pharetra consectetur sed duis facilisis metus. Etiam egestas in nec sed et. Quis lobortis at sit dictum eget nibh tortor commodo cursus.
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Strategy and Scale in a Complex World
Our Top 10 picks to learn more about Strategy and Scale in a Complex World
“Companies are saying they need to make sure their disclosures are backed up by data and can respond when the questions come,” said Tara K. Giunta, co-chair of Paul Hastings’ ESG Risk, Strategy and Compliance Group.


CEOs at Home Depot Inc, Booking Holdings Inc. and other executives found themselves clashing with investors this proxy season as companies faced an unprecedented level of pushback on ESG policies.


Believe it or not, U.S. companies’ biggest antitrust irritant may not be Lina Khan’s Federal Trade Commission. International regulators—mainly in China and Britain—are increasingly elbowing their way into foreign deals that don’t obviously require their attention. The latest example is Intel’s ...

Intel has terminated its agreement to acquire Tower Semiconductor due to regulatory approval delays. The termination fee of $353 million will be paid to Tower. Intel's focus remains on advancing its system foundry plans and IDM 2.0 strategy, aiming to become a major external foundry. Intel Foundry Services (IFS) has shown significant progress, with over 300% YoY revenue increase in Q2 2023 and partnerships for advanced process technologies. The company aims to become the second-largest global external foundry by the end of the decade.


Statements on green and social investing seen as ‘fertile ground’ for enforcement division


How much does each country contribute to the $105 trillion world economy in 2023, and what nations are seeing their nominal GDPs shrink?


Wilmer's congressional practice has helped clients prepare for seven hearings in the first five months of the year, six of which included CEOs.


If you are a company leader hoping to undertake a successful organizational change, you need to make sure your team is onboard and motivated to help make it happen. The following strategies can you help you better understand your employees’ perspectives. Start by creating audience personas that map to key employee segments in your company. Then interview individual employees in each segment to get a sample perspective on typical mindsets, and tailor your communication to match their mood. It’s also important to be as transparent as possible. While you may need to keep some facts private during a transition, the general rule is that the more informed your people are, the more they’ll be able to deal with discomfort. So, learn about your team’s specific fears, and acknowledge them openly. And make sure individuals at all levels feel included. A transformation won’t succeed without broad involvement.

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Morbi sed imperdiet in ipsum, adipiscing elit dui lectus. Tellus id scelerisque est ultricies ultricies. Duis est sit sed leo nisl, blandit elit sagittis. Quisque tristique consequat quam sed. Nisl at scelerisque amet nulla purus habitasse.
Nunc sed faucibus bibendum feugiat sed interdum. Ipsum egestas condimentum mi massa. In tincidunt pharetra consectetur sed duis facilisis metus. Etiam egestas in nec sed et. Quis lobortis at sit dictum eget nibh tortor commodo cursus.
Odio felis sagittis, morbi feugiat tortor vitae feugiat fusce aliquet. Nam elementum urna nisi aliquet erat dolor enim. Ornare id morbi eget ipsum. Aliquam senectus neque ut id eget consectetur dictum. Donec posuere pharetra odio consequat scelerisque et, nunc tortor. Nulla adipiscing erat a erat. Condimentum lorem posuere gravida enim posuere cursus diam.
Delivering Legal Services
Our Top 10 picks to learn more about Delivering Legal Services
Insiders and other commentators say the star London private equity partner will take 'many millions' worth of business with him, as others attribute his success to the unrivalled platform Kirkland offered.


Precarious law firm partnerships have been disrupted by pandemic-era working conditions, industry consultants, recruiters and firm leaders have observed. New alliances have been formed across offices at the expense of the ties that used to bind lawyers with regular office attendance.


“I think many people would rather work on a new problem than a settled problem. Here, there is a lot more opportunity to work on unsettled legal and policy questions, said Adam Kovacevich, CEO of Chamber of Progress.


A comprehensive overview of Integrated Law: the newest category in legal services which aims to solve for complex legal work at scale.


The summer of our discontents Two months ago, if you prompted Version 3 of the AI-art generator MidJourney to generate depictions of an "otter on a plane


Winter is coming and many legal departments will be left in the cold. Let's get a difficult conceptual issue out of the way. This is a long post that some


Why law departments solve for the local optimum at the expense of the global optimum. Why pursue the path of least resistance.


Legal tech IPOs have gained momentum, including LegalZoom, Intapp, and CS Disco. The legal tech market, comprising legal tech, compliance (RegTech), and contracting (KTech), is estimated to be worth $14 billion, set to triple in size in 5 years. Increasing legal complexity, rising costs, data explosion, and regulatory changes are driving demand for legal expertise and technology. The legal tech boom is rooted in unmet needs, attracting significant venture capital investments.

40 years ago, several idealist young lawyers walked away from safe and more established career paths to pursue the idea of providing affordable legal services to working- and middle-class people. This was the storefront revolution. Although the revolutio failed, it contains powerful lessons for all lawyers.


I was recently hired by the State Bar of California to write landscape report on the changing nature of the legal services market. This comes after the State Bar was reorganized for focus exclusively on its regulatory function. The report is now posted on the State Bar website.


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Morbi sed imperdiet in ipsum, adipiscing elit dui lectus. Tellus id scelerisque est ultricies ultricies. Duis est sit sed leo nisl, blandit elit sagittis. Quisque tristique consequat quam sed. Nisl at scelerisque amet nulla purus habitasse.
Nunc sed faucibus bibendum feugiat sed interdum. Ipsum egestas condimentum mi massa. In tincidunt pharetra consectetur sed duis facilisis metus. Etiam egestas in nec sed et. Quis lobortis at sit dictum eget nibh tortor commodo cursus.
Odio felis sagittis, morbi feugiat tortor vitae feugiat fusce aliquet. Nam elementum urna nisi aliquet erat dolor enim. Ornare id morbi eget ipsum. Aliquam senectus neque ut id eget consectetur dictum. Donec posuere pharetra odio consequat scelerisque et, nunc tortor. Nulla adipiscing erat a erat. Condimentum lorem posuere gravida enim posuere cursus diam.
Worth Reading
Just some books we ❤️
"A New Way to Think" by Roger Martin explores innovative approaches to common business challenges, emphasizing rethinking models and strategies for better outcomes.


The Third Edition of "Designing Organizations" offers a strategic guide to creating and managing effective organizations, using the Star Model framework and incorporating modern examples and concepts.


Everett M. Rogers explains how new ideas spread through communication channels over time, focusing on innovation adoption and the impact of the Internet on diffusion processes.


Watts challenges common sense and historical examples, revealing how human behavior prediction often fails due to complex dynamics.


Nassim Nicholas Taleb's "Fooled by Randomness" challenges our understanding of luck, skill, and perception in business and life.


"Four Thousand Weeks" explores life's brevity, time management, and meaningful living through philosophical insights, offering practical alternatives to common approaches.


Learn to create impactful visualizations with Good Charts, a guide that teaches the art of effective data communication, combining research and practical insights for better understanding and persuasion.


"How Big Things Get Done" by Bent Flyvbjerg explores the factors that lead projects to succeed or fail, offering principles like understanding odds, planning, teamwork, and mastering uncertainty.


"Influence" by Dr. Robert B. Cialdini explores six principles of persuasion: reciprocation, commitment, social proof, liking, authority, and scarcity. Learn how to ethically apply these principles for effective communication.


"Mistakes Were Made (But Not by Me)" delves into self-justification, exploring how the brain avoids responsibility through self-deception.


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