Equall is an AI-powered legal intelligence platform designed to automate data-intensive corporate legal work for law firms and legal teams operating in the venture capital and growth-equity space. The platform processes large volumes of unstructured legal documents, extracts structured data, and delivers continuously updated, reviewable work product through guided workflows and equity dashboards.
Key features and functions include:
Legal Data Pipeline Equall builds document pipelines for specific legal use cases, automatically classifying uploaded files by document type — including agreements, cap tables, board resolutions, and option grants — and continuously updating to reflect the current legal state of a company or transaction.
AI Extraction and Citation Once documents are uploaded, the platform's AI pipeline parses each file, extracts structured data points such as party names, share counts, dates, and terms, and links every extracted data point back to its source with precise citations. Users can verify any data point against the originating document with a single click.
Cap Table Tieout Workflow A guided, step-by-step workflow that reconciles cap table data against supporting legal documents, flagging discrepancies, missing documents, and unverified claims for attorney review and approval.
Reasoning Engine Powered by specialized legal ontologies, the reasoning engine enables structured understanding of a company's legal data, replicating how lawyers identify issues, apply rules, and interpret legal relationships across document sets.
Datarooms Documents for a company or transaction are organized in a single dataroom, with automatic classification and processing upon upload. The platform accepts PDFs, Word files, Excel spreadsheets, and ZIP archives.
Parties and Stakeholders The platform surfaces all entities extracted from uploaded documents — investors, founders, employees, and board members — with associated roles and ownership stakes drawn directly from source documents.
Equity and Reports Dashboards summarize equity data, ownership percentages, and key metrics extracted from documents, converting complex legal realities into structured, easy-to-read outputs for decision-makers.
Chat Interface Users can pose natural language questions about a dataroom and reference specific documents or document categories using @mentions to focus queries against the extracted data.
Document Viewer An integrated viewer allows users to read source documents alongside extracted data, with clickable citations that highlight exactly where each data point originated.
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