Legal AI Platform · United States

OpenCase

AI platform for lawyers that answers legal research queries with case law, statutes, and regulations, with citations verified against their primary source.

About OpenCase

OpenCase, artificial intelligence for legal research and drafting

OpenCase is an artificial intelligence platform aimed at legal professionals. Its proposition focuses on answering legal research questions by drawing on real case law, statutes, and regulations, with citations verified against their primary source. The tool presents itself as a unified system covering everything from research to drafting and case tracking.

The company notes that it uses large-language-model technology and that results may contain errors or omissions. It emphasizes that it is designed for trained legal professionals and is not a replacement for independent judgment. It also clarifies that it is not a law firm, that it does not create attorney-client privilege, and that it provides information solely for educational and research purposes.

Features for everyday legal work

The feature set includes legal research, time tracking, contract review, calendaring, legal writing, and litigation support. The platform includes a Microsoft Word plugin and an API.

Among the capabilities described are context-aware document editing, to rewrite, expand, or condense sections based on the document's own facts and arguments; file storage and analysis in a single space; finding law by jurisdiction; and editing directly within Microsoft Word to keep research and drafting in the same environment.

Integrations with work tools

OpenCase connects to data sources and applications commonly used in practice. It allows you to draft legal documents in Microsoft Word, use the platform within Google Docs, turn Outlook into an AI legal workspace, sync legal matters and case documents with Clio, and access and attach files from Google Drive and Dropbox.

User profiles it targets

The platform is designed for attorneys and legal teams. Among the use cases it mentions are solo or small practices, personal injury, immigration, law students, in-house and corporate legal departments, paralegals, and law firm management.

Document base and source verification

The system relies on legal data that the company describes as verified. According to its presentation, it has been trained on Cornell LII's authorized datasets of U.S. statutes and Supreme Court opinions; it uses daily indexes from an open-source corpus of federal and state opinions and RECAP dockets; and it incorporates authenticated PDFs from the public-law archive, the Federal Register, and the CFR from govinfo. The company maintains that, thanks to this base, answers can be traced back to verified primary law records.

The platform also incorporates daily ingestion of PACER dockets and filings, according to the announcement on the site.

Privacy, security, and AI governance

OpenCase states that data is encrypted in transit and at rest and is never used to train AI models. The company states that it maintains SOC 2 Type II compliance with continuous monitoring, access controls, and operational safeguards; holds ISO/IEC 27001 certification for information security management; and applies AI governance practices aligned with the ISO 42001 standard for transparency, accountability, and risk management in AI-assisted legal workflows.

Origin and positioning

The company traces OpenCase's origin to the idea that legal research should be faster, in contrast to tools it describes as fragmented and clunky. It presents itself as a professional AI platform for lawyers, with stated backing from attorneys, in-house teams, and law students.

In brief

AI legal research with verified citations