Eve

Are we close to a world where AI can actually "think" like a lawyer? We might be closer than you think, check out our article in Law.com on how new "reasoning models" can impact legal AI - written by our own Matt Noe. https://lnkd.in/eQn6hwup

See you next month at Mass Torts Made Perfect - you will NOT want to miss this one!

Only one day until this event - make sure you grab a seat for this insightful discussion about how to incorporate AI into your intake and evaluation and pre-litigation process!

This was the most refreshing conversation I've had in ages.....and inspired me to write this piece, which considers: Have we been barking up the wrong tree all this time when it comes to legal tech? Maybe Small Law is where the real legal transformation will take place. > Many thanks ?? to Jayanth M., CEO of Eve – whose company just bagged $47m funding led by Andreessen Horowitz. He explains: ‘AmLaw 100 firms are fear-tripping about AI, while plaintiff firms see profits.’ > AL explores this and the bigger picture. LINK: https://lnkd.in/ekG6eAbc #legaltech #SmallLaw #whatifwehavebeenbarkingupthewrongrtreealltheseyears? #legaltransformation

Check out this insightful conversation with the incredible Robert Ambrogi and our own Jayanth M. - talking about what it looks like for Plaintiff law firms to become AI-Native.

Join Manny Starr, Managing Partner of Frontier Law Center, in this three-part MasterClass on how to incorporate AI into your legal practice. As an early adopter, Manny’s firm has been able to 2.5X their case capacity, increase average case value by 90% and shorten the intake process by 50 minutes … all without having to add any headcount. In these sessions, Manny will share his learnings, best practices, and answer your burning questions.?

If you're looking to get started with AI at your law firm, make sure that you have the right internal policies in place. Manny Starr shares an easy to follow guide on how to start writing your own AI Use Policy.

Courts across the United States are beginning to address attorneys’ use of generative AI in drafting court documents. Two best practices for attorneys using AI in these select states: 1. Use standard disclosure language in your drafting templates 2. Use standardized certifications attached to all fillings Read the full overview here: https://lnkd.in/e3mUBb8X

The enterprise stack evolved in three distinct architectural layers, each attempting to solve the limitations of its predecessors, but ultimately creating new technical debt that we're still grappling with today. The foundation began with Systems of Record in the 1980s. Built on relational databases with CRUD interfaces, these systems forced unstructured human workflows into rigid schemas. The resulting architecture optimized for storage rather than usage patterns, creating massive data models that proved increasingly difficult to evolve as business needs changed. Systems of Engagement emerged in the 2000s as a solution to the interface problem, but ironically created a more fundamental data architecture crisis. While they successfully made software more intuitive, they generated exponentially more unstructured data across text, audio, and video. The architectural disconnect between this unstructured data and the underlying structured data models created a chasm that still hasn't been bridged. The industry's response came in 2017 with Systems of Intelligence, attempting to bridge the structured/unstructured divide. However, these systems suffered from a fatal architectural flaw: they remained dependent on manual data entry at the source. Unable to solve the sparse data problem in enterprise contexts, they failed to generate meaningful value at scale. Despite massive investment, the space has yet to produce a billion-dollar revenue company. The architectural revelation is that instead of building more abstraction layers, we need autonomous agents that collapse the stack entirely. This means fundamentally reimagining how enterprise systems handle information flow. Data capture moves to the source, eliminating manual entry points. Natural language becomes the primary interface, and the structured/unstructured divide disappears as agents handle translation in real-time. Traditional UI patterns become obsolete in this new paradigm. Today founders are rebuilding enterprise systems from first principles around autonomous agents that understand, decide, and execute in real-time. For technical founders and architects working on these problems, the challenge isn't just technical implementation but rethinking the fundamental assumptions about how enterprise software should be structured. Curious to hear from other founders working on this: What architectural decisions are you making as you rebuild these systems from first principles? Post in the comments!

???We’re Hiring Across All Departments at Eve!??? Eve is building the future of legal tech, and we’re looking for?exceptional people?to join us. If you thrive in?fast-paced, high-impact environments?and want to be part of a team redefining the industry, now is the time! ?? Why Eve? - Industry Leadership?– We’re shaping the future of AI-driven legal solutions. - High-Impact Work?– Your contributions will directly shape our growth. - Culture of Excellence?– We hire the best and empower them to do their best work. - Growth & Opportunity?– Scale your career alongside a company on the rise. ?? We have?open roles in Sales, Engineering, Product, and Customer Success?– check them out here:?https://jobs.lever.co/Eve Know someone who’d be a great fit??Tag them below?or DM us! #Hiring #JoinUs #StartupJobs #LegalTech