About Counsel Stack

Empowering the next generation of legal professionals

Counsel Stack is a legal research platform born from necessity. We built our first prototype to study for the bar exam and the prototype evolved into something bigger.

Our Story

We are venture-backed and based in Pittsburgh. Our team combines licensed attorneys, law students, senior software engineers, and technical advisors from leading institutions. We spent our first year in the field learning how lawyers actually use legal technology. In our second year, we obtained SOC 2 compliance and are actively partnering with forward-thinking law firms to develop our research and document review capabilities.

Why Now

Language models present a unique opportunity for legal professionals. We are positioned to make the most of this technology for several key reasons.

(1) Lawyers are society's most highly trained readers and writers. This means we're particularly skilled at instructive delegation and critical analysis. By this logic, we can and should be power users of language models.

(2) People need human connection during stressful times. Legal issues create stress. In response, people seek advocates they trust and fiduciaries bound to represent their best interests. While we can benefit from using language models for research and administration, lawyers' core service is, and always has been, human support.

(3) There's an argument that language models could substantially increase, not decrease, the demand for legal services. Language models will exacerbate existing legal issues and create new ones. They'll also help nonlawyers issue spot and understand when they might have recourse. Informed clients are much easier to work with. This will shift the practice of law legal in a positive direction.

Counsel Stack is designed with this sort of future in mind.

How it works

Frequently asked questions

How is Counsel Stack better than other Deep Research?
Counsel Stack is not generic, it's built by and for attorneys specifically for legal research. The research is grounded in official legal data sources and you can track time and gather workflow analytics along the way. The system mirrors how a real law firm would conduct legal research, and handles legal data extraction with LLMs.
What is "grounding" a language model?
Grounding a language model is connecting it to a reliable data source to help mitigate hallucinations.
What is the ABA's stance on AI and legal practice?
The ABA has adopted resolutions 604, 608, 609, and 610 emphasizing responsible AI development and use, promoting ethical, transparent, and accountable deployment of AI in the legal sector. These resolutions also focus on enhanced cybersecurity, guidelines for organizations engaging in AI, and integrating cybersecurity education into law school curricula.