Problem

Supio addresses the labor-intensive, fragmented work of plaintiff-side personal-injury and mass-tort litigation. Firms must review thousands of pages of medical records, bills, emails, texts, deposition files, and other evidence; manually reconcile case economics; and turn that material into chronologies, demands, discovery, and trial strategy. The pain is both operational and financial: manual review causes missed details, while medical chronologies and demands that once took weeks can still consume days or hours. Supio says firms have saved $500–$1,000 per case and recovered hundreds of hours.

The killer use case is converting messy case files into defensible litigation leverage: identifying overlooked injuries, treatment gaps, contradictions, damages, and financial details, then using those insights to strengthen a demand or litigation strategy. This matters because better-prepared cases can support higher settlements and allow firms to handle more matters without adding proportional staff.

Product / Service

Supio is a private, purpose-built legal AI platform for plaintiff law firms that covers the case lifecycle from intake through settlement or trial. Its CaseAware AI ingests records, bills, emails, texts, voice, videos, photos, deposition files, and other unstructured material; organizes the information while distinguishing facts from opinions; and applies case-specific reasoning across 112 case types. The platform then powers medical chronologies, demand letters, case signals, discovery support, damages analysis, exhibit packages, and other litigation documents.

The delivery model is an integrated software platform rather than a standalone chatbot or single-purpose drafting tool. Supio connects with case-management and document systems, automatically synchronizes files, and lets an agent work across the case, caseload, and firm while building firm-specific memory. Its claimed benefits are faster case preparation, fewer duplicate workflows, source-linked and verifiable outputs, stronger settlement leverage, and protection for sensitive client data through a closed, HIPAA-compliant and SOC 2-certified environment.

Market

Supio competes in legal technology, specifically AI software for plaintiff-side personal-injury and mass-tort firms. Its closest named competitor is Eve Legal, which Supio characterizes as a general-purpose legal AI with separate task-oriented agents; Supio positions itself as a plaintiff-law-specific, firm-wide platform. It also overlaps with specialized PI demand-package providers such as EvenUp, while competing more broadly with case-management add-ons, legal AI platforms such as Harvey and Legora, and general-purpose AI tools.

Supio is not pre-revenue based on the available evidence. The company announced a $60 million Series B in April 2025, bringing total funding to $91 million, and reported fourfold ARR growth since its Series A. It said it served major U.S. personal-injury and mass-tort firms including Hughes & Coleman, Daniel Stark, Thomas Law Offices, and Whitley Law; reported a 62% increase in annual case volume at Thomas Law and 20–30% per-case gains at Travis Legal Offices; and cited its role in TorHoerman Law’s $495 million Abbott Labs verdict. These are company-reported traction and outcome claims, but they indicate substantial commercial adoption and an established, funded position in a fast-developing legal-AI category.