We partnered with Robert Mahari, JD-PhD—a legal technologist and researcher at Harvard Law School and the MIT Media Lab—to author a new white paper:
“Demystifying AI for Lawyers.”
In this in-depth guide, Mahari breaks down how large language models (LLMs) work, why hallucinated citations are still a major risk, and how architectures like Retrieval-Augmented Generation (RAG) are making legal AI safer, more verifiable, and more useful.
🔍 What You’ll Learn:
- How tools like GPT-4 really generate answers—and where they go wrong
- Why verification, audit trails, and source grounding are non-negotiable in law
- Real-world use cases in personal injury, employment law, and litigation workflows
- What bar associations expect under the duty of technology competence
- Where most academic AI research falls short—and what lawyers actually need
“LLMs are not sources of truth. They’re statistical tools. Lawyers must always verify outputs before relying on them.”
— Robert Mahari, JD-PhD
🎯 Why This Matters Now
With over 50% of law firms actively testing or adopting AI tools, the challenge isn’t access—it’s trust. Lawyers need AI that fits within professional ethics, integrates into real workflows, and protects client outcomes.
This white paper is your blueprint for responsible adoption, whether you're exploring AI for the first time or building firm-wide policies around its use.
📥 Download the full white paper here →
This is just the first in a series of content around understanding and using AI - stay tuned for more content around how to onboard AI in your law firm!
