Atlas by Clearpeople introduces a collective intelligence layer for trusted, precise enterprise AI
Moving beyond institutional memory with governed knowledge, hallucination guardrails, and trusted answers embedded in legal workflows
Atlas, the intelligent knowledge platform developed by ClearPeople and designed for law firms where accuracy, trust, and expertise are mission-critical, today announced a major evolution of its platform: a collective intelligence layer that takes institutional memory one step further by delivering precise, trusted AI responses grounded in governed enterprise knowledge.
As law firms accelerate the adoption of generative AI, many are encountering a hard reality. While modern AI systems can retain conversational context or recall prior interactions, they often lack an authoritative knowledge foundation. The result is growing risk when AI tools surface incomplete, outdated, or unverified guidance.
Atlas addresses this challenge by moving beyond institutional memory to collective intelligence: a system in which firm knowledge is continuously curated, connected, and governed, and where both lawyers and AI operate from the same trusted source of truth.
“Atlas has always focused on making firm knowledge reusable and authoritative,” said Stephen Bedford, Product Director of Atlas. “With Atlas 7.0, we introduced the next layer: collective intelligence that ensures AI doesn’t just remember prior context, but responds with precision, trust, and accountability.”
From institutional memory to collective intelligence
Many legal technology vendors focus on institutional memory or AI context retention. Atlas addresses a higher-risk problem: ensuring AI outputs are authoritative and traceable, before they reach lawyers or clients.
Atlas does this by transforming unstructured enterprise content into governed knowledge collections, applying metadata, provenance, jurisdictional context, and approval status before AI is allowed to respond. AI that simply “remembers” is no longer sufficient. Law firms need AI that delivers precise, trusted answers grounded in governed knowledge.
This approach enables firms to move from fragmented knowledge spread across documents, systems, and individuals to a shared intelligence that evolves with the firm and remains reliable as teams, matters, and client demands change.
Hallucination prevention guardrails for trustworthy AI answers
A core capability of Atlas is its hallucination prevention and validation layer. Every AI-generated response is checked against certified, governed knowledge before it is delivered. If a response cannot be verified, it is withheld rather than guessed.
This design ensures AI outputs remain aligned with firm policy, regulatory obligations, and established expertise, helping firms scale AI adoption without compromising accuracy, privilege, or client trust.
Trusted answers embedded where legal work happens
Atlas delivers trusted answers directly into the flow of legal work. Through natural language Q&A, summarization, and reporting, verified knowledge can be surfaced across intranets, practice group pages, Microsoft Teams, and client-facing environments.
Rather than forcing lawyers to search for documents or manually validate AI responses, Atlas injects trusted, contextual answers exactly where decisions are made, ensuring consistency across teams, matters, and client interactions.
Enabling enterprise AI at scale
By combining institutional memory, governed knowledge, hallucination guardrails, and embedded trusted answers, Atlas provides the missing knowledge layer required for precise enterprise AI. The result is faster decision-making, reduced risk, and greater confidence that both people and AI are operating from the same authoritative foundation.
