A personal quest
Last year I started at Harvard Business School during a strange time. More than once, we MBA students felt the ground shifting beneath us. The pace of AI was too fast to ignore; even the school rebuilt its curriculum around it. And a quiet question hung over everything: “Is business school still relevant? Shouldn't we all just drop out and build?”
I won't make the case for the value of the MBA degree today, but somewhere in that first year, I developed an itch I couldn't shake: to get my hands dirty at an AI-native firm. Not an AI startup, but a neofirm: a traditional professional-services business that has built an agentic workflow from the ground up, while keeping humans as the ultimate decision-makers. After hundreds of case studies (we couldn't get through a single class without hearing the word "AI"), I wanted to test a few personal hypotheses. What is the real value of human judgment, taste, and emotional intelligence in the age of AI? And what does that value look like today in high-touch, relationship-driven industries?
So I picked law—a profession full of, well, humanity (A rewatch of “12 Angry Men” in a leadership class had partially influenced that decision.) After a lot of digging into the companies I'd want to spend the summer with, I landed a Product internship at General Legal: a new entrant in the AI-native space, but no stranger to the elite tier of the profession.
At the time, the choice felt a little contrarian. Isn't the point of AI to automate repetitive work so humans can focus on what matters? And wouldn't that mean joining a legal-tech startup promising lawyers exactly that?
Why General Legal
I don't have formal legal training. But years as a VC investor, working alongside lawyers to get deals across the finish line, taught me something: a good lawyer is less a genius mathematician than a masterful poker player. There are rules, boundaries, and precedents. But alongside them sits a vast world of human context—the push and pull, the emotion, the unsaid. Navigating that is what separates good from great.
Here's the problem I see with much of legal tech today: it's AI bolted onto legacy systems. That co-pilot-as-afterthought approach compromises the premise of a truly agentic workflow, and it leaves the AI trained on generic and average consensus rather than hard-won institutional wisdom. Good lawyers know when to push and when to concede. They read business priorities and a counterparty's tolerance. They juggle tradeoffs under incomplete information.
An AI-native workflow, built from the ground up, codifies those judgment-dense decisions into playbooks from day one, so the agent takes a stronger first pass and lightens the load on the attorney making the final call. The result can be a turnaround measured in hours rather than days, at a fraction of the traditional cost.
But our engineering prowess isn't the whole story (our Casetext exit certainly doesn't hurt). The real edge comes down to an age-old adage: it's all about the people. Our carefully vetted attorneys are the secret sauce. They cut their teeth at Big Law and chose to build the future of legal practice instead. They've lived the judgment-dense moments and now they're teaching that instinct to our agent, one that compounds with every matter and across every industry. Most importantly, they’re willing to roll up their sleeves to build.
The future of legal practice
There's never been a more exciting time to ask these questions. In recent weeks alone, headlines have tracked Big Law firms pouring serious money into developing their own legal agents, or renting the infrastructure off the shelf, to widen client access to their institutional knowledge.
Even so, I don't expect Big Law to touch the billable hour anytime soon. The incentives run the wrong way, so the structural roadblocks are too entrenched to move quickly. Meanwhile, AI has accelerated product development and go-to-market in ways we've never seen, and in-house legal teams everywhere are scrambling to absorb an order of magnitude more legal work. Alternative legal service providers can certainly help, but only with routine matters. And frontier LLMs, for all their power, were never designed to carry liability or catch the edge cases only a good lawyer spots.
That leaves a void in the market too big to ignore. A month at General Legal has shown me a glimpse of what comes next—a world where elite legal services are within reach of everyone. And the real work has only just begun.
- AI is changing how professional-services firms structure workflows, not just how individual tasks are completed.
- Human judgment, context, and relationship management remain important in legal work.
- AI-native legal workflows can combine agentic systems with human attorneys making the final call.
- Legal AI is increasingly moving beyond experimentation, with firms and AI companies developing more integrated tools and workflows.
- Harvard Business School has integrated AI directly into its MBA curriculum, including a required Data Science and AI for Leaders course for first-year students.
| The premise | An MBA student spent a summer at General Legal, an AI-native law firm, to test what human judgment and taste are worth in a profession increasingly shaped by AI. |
|---|---|
| Why law, why this firm | Law was chosen for being relationship-driven and judgment-heavy; General Legal was chosen as a firm built agentic from the ground up rather than AI bolted onto legacy workflows. |
| Critique of typical legal tech | Most legal tech treats AI as a co-pilot afterthought, which trains it on generic consensus instead of hard-won institutional wisdom. |
| The AI-native alternative | Codifying judgment-dense decisions into playbooks from day one lets the AI agent take a stronger first pass, while the attorney still makes the final call. |
| Why BigLaw won't move fast | The billable hour's incentives run the wrong way, so structural change is slow even as legal work volume and AI investment both accelerate. |
| Industry momentum | In April 2026, Freshfields signed a multi-year partnership with Anthropic, rolling Claude out to 5,700 employees and co-developing legal AI tools: one sign of Big Law's own AI investment. |
| HBS and AI | Harvard Business School now requires a Data Science and AI for Leaders course for first-year MBA students, reflecting how central AI has become to the curriculum. |
| The open question | The real question isn't whether AI replaces lawyers, but which parts of legal work depend on human judgment and how those combine with AI-native workflows. |
How does an AI-native legal workflow differ from traditional legal technology?
It's designed around AI from the beginning, with judgment-dense decisions codified into playbooks so the AI agent can take a stronger first pass, while the attorney still makes the final call, rather than AI being added on top of an existing process.
Is AI already changing legal practice?
Yes. Law firms and AI companies are developing increasingly integrated AI tools for legal research, drafting, contract review, and internal workflows. In April 2026, Freshfields and Anthropic announced a multi-year partnership to deploy Claude to 5,700 Freshfields employees and co-develop legal-focused AI applications and agentic workflows.
Is Harvard Business School incorporating AI into its MBA curriculum?
Yes. HBS lists Data Science and AI for Leaders as a required first-year course, and the program describes AI as integrated throughout the broader curriculum.
What is a neofirm?
A neofirm is a traditional professional-services business, such as a law firm, that builds its workflows around AI agents from the ground up while keeping humans as the final decision-makers. It differs from an AI startup selling software to firms: the neofirm delivers the service itself and carries responsibility for the outcome.
What is the article's central question about the future of legal practice?
Not simply whether AI will replace lawyers, but what parts of legal work genuinely depend on human judgment, and how that judgment can be combined with AI-native workflows going forward.
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