Perplexity Launches Computer for Counsel: A Multi-Model Agentic Layer for Legal Workflows

Perplexity launched Computer for Counsel. It is an agentic AI system built for legal teams. The product extends Perplexity Computer, the company’s LLM-agnostic agentic system. It is available now to Perplexity Enterprise and Max subscribers.

Lawyers lose hours to administrative work. Computer for Counsel targets that work directly. Nearly 75% of lawyers call administrative tasks a major time challenge, a Thomson Reuters survey found. The story is mostly architectural. It is an orchestration layer wired into the tools lawyers already use.

It is not a new legal research database. Perplexity is explicitly not trying to replace Westlaw, LexisNexis, or Bloomberg Law. Instead, it sits as a research, drafting, and workflow layer. That layer reasons over the open web, firm systems, and specialized legal sources.

The mechanics are agentic. The system decomposes a legal task into subtasks. It routes each subtask to a model and a data source. It then assembles the results into a brief, memo, or deal summary. Every output links back to its source. Attorneys verify a citation in seconds before it enters client work. Judgment and strategy stay with the lawyer.

Computer is powered by 20+ frontier AI models. It selects the best model for each subtask automatically. Research, reasoning, and contract work can each use a different model. Perplexity keeps the model pool current through ongoing evaluation. For legal teams, this removes the pressure to bet on one AI vendor.

Connectors run on the Model Context Protocol (MCP). MCP is an open standard for linking AI systems to external tools and data. Administrators can also install custom MCP connectors for internal systems.

Premium legal sources ground the answers. The connector list spans research, contracts, and document management.

App Connectors also reach Microsoft 365, Google Workspace, and 400+ other tools. Inside Microsoft 365, Computer drafts in Word and retrieves files from SharePoint. It references context from Outlook or Teams conversations.

Three current workflows show the agentic pattern in practice :

Computer for Counsel ships as a product, not an SDK. But it builds on Perplexity’s cited search. That primitive is exposed publicly through the Sonar API. The API is OpenAI-compatible and returns sources with every answer. Domain filters let you restrict grounding to trusted sites, the way a lawyer would.