Jack Weinberger, co-founder of Ajax, a revolutionary AI-driven timekeeping solution for law firms, shares insights from his journey in legal tech. They discuss the challenges lawyers face with billable hours and how Ajax addresses these with user-friendly design. Jack explains how their platform can help lawyers recover lost hours, transforming tedious time tracking into an efficient process. He also emphasizes the importance of feedback and the role of expert advisors in developing solutions that genuinely meet lawyers' needs.

Gary Sangha, CEO of LexCheck, a groundbreaking legal tech firm providing AI-driven contract review solutions, shares his entrepreneurial journey. He discusses the evolution of LexCheck from its NLP roots to the innovative LexCheck Insights tool, enhancing contract analysis. Gary highlights the competitive edge LexCheck has with unique technologies over traditional models. He also addresses market focus, emphasizing the importance of client retention and feedback for success in the legal tech landscape.

In this discussion, Damien Riehl, VP at vLex and a leader at SALI, dives into the transformative power of legal data science and AI. He highlights vLex's ability to structure a billion legal documents for efficient access. The conversation touches on retrieval-augmented generation (RAG) and its role in providing reliable legal insights, drastically reducing research time for lawyers. Damien also examines how generative AI could disrupt traditional billing models, particularly benefiting plaintiff-side lawyers by enhancing profitability and efficiency.

After Charlie introduces Mike and congratulates him on the recent Time of London article about Contend, Charlie and Mike discuss: Just what it is that Contend (at https://contend.legal) does to provide safe, accessible, and affordable information for "regular people" when those people confront a legal issue (principally, providing both signposts to information resources (often secondary sources aimed at non-professionals) and connecting people to legal professionals and other organizations that can provide additional help) Why Contend at present operates only in England and Wales (primarily because (i) the UK's regulation of the legal services delivery system is less hidebound by outdated and overly broad "unauthorized practice of law" rules and (ii) the UK's legal innovation culture is so well developed) How Contend markets its product offerings (initially focussing on paid Google ads, now coming to rely more on organic Google search of access-to-justice content that Contend creates, and partnering with A2J nonprofits and other brand-building efforts) The significant business challenge Contend has so far faced (customer acquisition - and, in particular, conveying why Contend is a service provider that consumers can trust) and the most significant "win" that Contend is to date most proud of (having as significant and favorable an impact on people's lives as Contend has had) Link to Times of London article about Contend: https://www.thetimes.com/uk/law/article/we-use-ai-to-make-justice-more-accessible-to-ordinary-people-fk78crxtt

Chris Cartrett, CEO of Aderant, discusses Aderant's new platform 'Stridyn' and GenAI's natural language processing features. He emphasizes the importance of security in cloud-based legal tech and advises on value-based pricing strategies for legal tech startups.

Podcast host, Charlie Uniman, and Jim cover the following in this episode:   How Jim’s undergrad major in computer science and his graduation from law school took him from his first job as a lawyer doing document review to working for over a decade in e-discovery.    Eventually leaving e-discovery work to found his own company offering services outside the legal tech field, Jim nonetheless kept track of the immense benefits accruing to document review from the use of NLP and, eventually, GenAI solutions.    Jim realized how these GenAI-driven solutions could solve longstanding problems with less up-to-date e-discovery solutions. With this realization, Jim returned to the e-discovery field to start his own business, eDiscoveryAI (www.ediscoveryai.com), and bring the benefits of GenAI to e-discovery customers.   Jim explains how GenAI-driven e-discovery tools advance e-discovery far beyond the levels of accuracy achievable from the predictive coding tooling previously used in e-discovery - all at a lower cost and with faster time-to-value.   Jim explains how, by operating as a nimble startup with virtually no bureaucracy to get in the way, Jim and his colleagues at eDiscoveryAI can get closer to the customer and build customer-requested features more rapidly than his big-company competitors.

Peter Duffy, founder of Titans and Legal Tech Trends newsletter, discusses legal tech adoption trends, GenAI hype cycle, contrarian views on legal tech, common mistakes by vendors, and blue ocean spaces in the legal tech competitive landscape. The podcast explores Titans' global reach, impact of Legal Tech Trends newsletter, evolving legal tech leadership landscape focusing on generative AI, and untapped opportunities in the legal tech market such as document automation and project management tools.

Engineer and VC Tanguy Chau and AI expert Michael Ulin discuss Paxton, an award-winning legal tech startup. They focus on developing tailored legal language models for research, drafting, and document analysis. Tips include early product release, customer feedback, and innovation in the legal industry.

Jackie Schafer, founder of Clearbrief, discusses the challenges faced by women founders in the legal tech industry, the importance of confidently presenting products, marketing to law firm decision-makers, and the implications of AI on billing practices. The podcast explores her journey from lawyer to tech CEO and the transformative impact of Clearbrief's AI tools on legal practices.

In this episode, your podcast host, Charlie Uniman, and Dan Broderick discuss: How Dan started BlackBoiler after practicing law for 7 years, having gotten the idea for Blackboiler while reviewing large numbers of contracts for a client and realizing how much of the work could be automated. BlackBoiler’s focus on automating high-volume contract review and markup during the negotiation phase, with BlackBoiler using machine learning AI to learn from historical edits and rule sets in order to suggest edits in tracked changes. BlackBoiler’s target market consists principally of corporate legal departments, with people in those departments - and in other departments in the enterprise - using BlackBoiler’s software to help them review contracts more efficiently and to empower business users who “touch” contracts frequently, but who aren’t lawyers. What some of the challenges are in selling AI, including the challenge (and importance) of separating hype from reality and getting customers to think “problem-first,” not “AI-first.” How BlackBoiler uses machine learning, but currently not of the generative AI type, as the tasks that Blackboiler carries out are more a matter of text-classification than text-generation. However, Dan does point out that generative AI may be helpful for purposes of initial drafting and finding clauses. For legal tech startup leaders, some of Dan’s key pieces of advice are finding the determination to get through business highs and lows and making sure to reward positive team dynamics.