Robin AI CEO on Curbing ChatGPT Hallucinations in Law

Generative AI promises to transform how law firms and corporate legal teams work, but when models “hallucinate” or cite fake cases, the stakes can be catastrophic. In a recent Decoder interview, Robin AI cofounder and CEO Richard Robinson detailed how his company is tackling this challenge head-on with specialist models, robust validation, and transparent citations.

Addressing AI Hallucinations

“Unreliable doesn’t cut it in law,” Robinson explains. Robin AI embeds source citations directly into each response and connects its models to vetted legal databases. Users can click through to original statutes, contracts, or precedents, making it easy to verify facts before submitting briefs or advice.

Expanding Legal Intelligence

Originally focused on contract analysis, Robin AI now covers policies, regulations, and obligations across a business’s entire legal landscape. Robinson highlights how customers use the platform to:

• Check compliance on everyday scenarios, such as hospitality gifts or event tickets
• Compare new contracts against past negotiations to spot favorable terms
• Navigate regulatory shifts—from tariffs to executive orders—by surfacing exit clauses and obligations

Integrating in the Cloud

By joining the AWS Marketplace, Robin AI gains a “seat in the biggest grocery store of cloud apps,” says Robinson. Customers benefit from AWS security vetting and a familiar procurement path, ensuring that sensitive documents stay protected while unlocking AI-driven legal workflows.

Educating Users and Shaping the Future

Robinson stresses that AI tools don’t replace lawyers—they elevate them. With clear citations, validation steps, and “AI-first, human-check” workflows, legal professionals retain responsibility for every citation and argument. This hybrid model boosts efficiency without cutting headcount, reducing outside counsel costs while tackling routine queries in-house.

As legal teams demand more reliable AI, specialist platforms like Robin AI demonstrate how domain-tuned models, transparent sourcing, and secure cloud distribution can deliver on accuracy and compliance. It’s a model other industries—from finance to healthcare—can emulate when trust is non-negotiable.