DocEquity, Inc. is the registered company behind the brand Supio. DocEquity, Inc. operates as a legal technology company headquartered in Seattle, Washington, USA. It focuses on automating legal workflows using AI technology, specifically for personal injury and mass tort law firms.

DocEquity, Inc.

<h3>Introduction</h3><p><span style="color: rgb(0, 0, 0);">Supio is a cutting-edge legal AI platform designed specifically for personal injury and mass tort law firms. Founded in 2021 and headquartered in Seattle, Washington, Supio helps legal teams streamline complex, document-heavy workflows by leveraging AI to extract critical insights from unstructured data like medical records, police reports, and expert opinions. Its core functionality revolves around uncovering missed evidence, generating demand packages, drafting legal documents, and automating case preparation tasks that typically consume significant attorney and paralegal time. By combining large language models, domain-specific data training, and human-in-the-loop verification, Supio offers both accuracy and efficiency. The platform aims to reduce operational overhead, enhance case outcomes, and support data-driven decision-making. With nearly $90 million in venture funding and backing from leading investors such as Sapphire Ventures and Thomson Reuters Ventures, Supio is rapidly becoming a go-to AI assistant for plaintiff-side law firms seeking a technological edge in litigation.</span></p><h3>Legal Research</h3><p>Supio’s legal research features are specialized for personal injury and mass tort cases. Rather than providing a broad law‑library or external case law database, Supio focuses on internal, case‑specific document research: scanning medical records, expert and witness reports, police reports, treatment records, etc., to locate critical information such as missing treatments, inconsistencies, undiagnosed injuries, and gaps in care. Users can pose natural language prompts to its AI Assistant to query the documents (“when did treatment for X begin?”, “show inconsistencies in expert reports”, etc.) and get accurate, source‑linked answers. It’s especially strong at making sense of unstructured data to surface insights that often get buried in large document sets. Supio also provides summarization, filtering, and extraction features that allow attorneys to quickly understand the medical chronology and case history. The emphasis is on speed, precision, and context.</p><h3>Contract Analysis</h3><p>In Supio’s context, “contract analysis” is more about analyzing case documents (medical bills, expert reports, etc.) and preparing “demand letters” rather than analyzing commercial contracts in the usual sense. Supio automates creation of “Instant Demands” and “Demand Letter packages,” pulling from the case data to populate relevant facts, exhibits, liabilities and damages. It also includes Case Signals which flag treatment gaps, missing bills, or discomfort in timelines, and allows detection of inconsistencies or contradictions in testimonies or reports. Thus, rather than broad contract clause risk scoring, Supio’s document analysis is tailored to litigation and pre‑litigation in PI law: identifying critical factual details, assembling evidence, flagging weaknesses or missing elements. This helps attorneys build stronger demand packages or courtroom prep. </p><h3>Document Drafting</h3><p>Supio offers document drafting features focused on legal documents required in personal injury litigation. This includes drafting demand letters, complaints, discovery materials (interrogatories, requests for admissions), deposition questions, opening statements, and potentially motions. The drafting is informed by the case‑data: medical findings, witness statements, expert reports, etc., so drafts are context‑rich. It allows law firms to use their own templates and style, and then populate them with relevant facts from the case. This dramatically reduces the time required for drafting from scratch and helps ensure factual correctness and completeness of drafts. Supio also offers a Prompt Library to assist with starting common document types, and supports maintaining tone and style consistency.</p><p><br/></p><h3>Predictive Analytics</h3><p>Supio includes predictive‑adjacent analytics: tools that help signal aspects of the case that may influence outcomes. For example, its Case Signals feature flags things like missing records or gaps in treatment, which can be predictive of case strength or weakness. Also, Case Economics helps estimate financial aspects of a case: projected costs, potential settlement values, bills and liens reconciliation, and interactive ledgers that help attorneys see the economic implications of parts of a case. Supio also supports monitoring timelines and inconsistencies, which helps in risk assessment. However, it does <em>not</em> (as far as public sources show) provide strong outcome‑prediction models (e.g. probability of winning, quantification of risk) beyond these contextual indicators. The emphasis is on actionable intelligence rather than speculative forecasting. </p>

Review of Supio: AI-powered legal assistant for personal injury firms streamlining documents and case prep.