Olivia Wang

Olivia Wang

PhD student at University of California, Santa Cruz, interested in Human-Centered Explainable AI, Neuro-Symbolic AI, and the intersection of AI and law.

Posts by Tags

AI

Teaching Students to Fly With AI, Not Around It

5 minute read

Published:

There has been a lot of news lately about law schools banning the use of AI — the University of Chicago is one of the more extreme cases, prohibiting computer use for the entire first year of law school. I understand the impulse: AI has made prior learning methods like take-home exams and homework essentially useless as measures of competence. But the question I keep coming back to is this: how do we design a system that doesn’t just exclude AI, but lets students and AI co-exist and co-evolve? Like it or not, AI is here to stay. You can ban it as hard as you want, but students will use it anyway. The right approach isn’t to ban AI as much as possible — it’s to teach students how to master it and incorporate it correctly into their workflow.

What’s Wrong With Where Legal AI Is Heading

3 minute read

Published:

Full disclaimer before I begin: I’m not saying all Legal AI is wrong, and I won’t pretend I’ve evaluated every product on the market. My assessment draws from podcasts, YouTube videos, and articles I’ve read — so take it in that spirit. I’m also specifically focused on legal reasoning products, or products positioned to assist with legal reasoning.

Is AI Really Non-Deterministic? What Legal Practitioners Need to Know

5 minute read

Published:

I was listening to the Weekend Law podcast from Bloomberg Law this morning, where Justin Daniels — an AI and tech law expert and shareholder at Baker Donelson — shared how lawyers are using AI. One point he made stuck with me: AI is good at pattern matching, but you shouldn’t confuse probabilities with certainties.

Would AI Give You a Discount? Maybe — Just Not the Kind You’re Expecting

4 minute read

Published:

By now, almost everyone in the legal industry has heard: Kirkland & Ellis announced a $500 million, four-year investment to develop proprietary internal AI tools. The reaction was predictably mixed. With capable off-the-shelf solutions like Harvey and Legora already on the market, many observers questioned why K&E would build from scratch at that scale. Harvey co-founder Gabe Pereyra weighed in on the strategic logic behind the decision here.

Legal Practitioner’s Guide to LLMs

2 minute read

Published:

I recently attended the Bloomberg Law Symposium, where I had the opportunity to hear from two very different worlds: academic researchers presenting their latest findings, and legal practitioners and law firm representatives speaking candidly about the challenges their field is facing — what’s broken, and what they need.

Legal

Teaching Students to Fly With AI, Not Around It

5 minute read

Published:

There has been a lot of news lately about law schools banning the use of AI — the University of Chicago is one of the more extreme cases, prohibiting computer use for the entire first year of law school. I understand the impulse: AI has made prior learning methods like take-home exams and homework essentially useless as measures of competence. But the question I keep coming back to is this: how do we design a system that doesn’t just exclude AI, but lets students and AI co-exist and co-evolve? Like it or not, AI is here to stay. You can ban it as hard as you want, but students will use it anyway. The right approach isn’t to ban AI as much as possible — it’s to teach students how to master it and incorporate it correctly into their workflow.

What’s Wrong With Where Legal AI Is Heading

3 minute read

Published:

Full disclaimer before I begin: I’m not saying all Legal AI is wrong, and I won’t pretend I’ve evaluated every product on the market. My assessment draws from podcasts, YouTube videos, and articles I’ve read — so take it in that spirit. I’m also specifically focused on legal reasoning products, or products positioned to assist with legal reasoning.

Is AI Really Non-Deterministic? What Legal Practitioners Need to Know

5 minute read

Published:

I was listening to the Weekend Law podcast from Bloomberg Law this morning, where Justin Daniels — an AI and tech law expert and shareholder at Baker Donelson — shared how lawyers are using AI. One point he made stuck with me: AI is good at pattern matching, but you shouldn’t confuse probabilities with certainties.

Would AI Give You a Discount? Maybe — Just Not the Kind You’re Expecting

4 minute read

Published:

By now, almost everyone in the legal industry has heard: Kirkland & Ellis announced a $500 million, four-year investment to develop proprietary internal AI tools. The reaction was predictably mixed. With capable off-the-shelf solutions like Harvey and Legora already on the market, many observers questioned why K&E would build from scratch at that scale. Harvey co-founder Gabe Pereyra weighed in on the strategic logic behind the decision here.

Legal Practitioner’s Guide to LLMs

2 minute read

Published:

I recently attended the Bloomberg Law Symposium, where I had the opportunity to hear from two very different worlds: academic researchers presenting their latest findings, and legal practitioners and law firm representatives speaking candidly about the challenges their field is facing — what’s broken, and what they need.