DeepJudge is an AI‑powered enterprise search and workflow platform that indexes a law firm’s entire internal knowledge base—including documents, matter metadata, and client records—while preserving existing access controls. It offers semantic, intent‑driven search and low‑code AI Workflows that let users ask natural‑language questions, generate summaries, and trigger custom generative‑AI agents, all within a secure, model‑agnostic environment.
Funding
$12.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Legal firms often have their institutional knowledge scattered across multiple document repositories, intranets, emails, and individual expertise, making it difficult for lawyers to quickly locate relevant precedents, clauses, or insights needed for their work.
Solution
DeepJudge provides an AI-powered enterprise search and workflow platform that indexes a firm’s entire internal knowledge base while preserving existing access controls. By combining semantic search, automatic document classification, and near-duplicate detection, the system delivers intent‑based results across billions of data points. Integrated AI Workflows allow users to ask natural‑language questions, generate summaries, and trigger custom generative‑AI agents that operate on the retrieved content, all within the firm’s security perimeter. The platform is model‑agnostic and can be deployed in public, private, or on‑premises clouds, ensuring compliance with legal data governance requirements. This unified approach enables lawyers to access precise, context‑aware information instantly, streamlining research, negotiation, and document drafting processes.
Target Audience
DeepJudge is targeted at large law firms, corporate legal departments, and professional services organizations that need fast, secure access to their collective legal knowledge and want to automate research‑intensive workflows.
Features
- Semantic, intent‑driven search that spans documents, matter metadata, client records, and people across all connected systems
- Automatic taxonomy creation, duplicate and redline detection, and metadata enrichment for billions of unstructured and structured items
- Secure, permission‑aware indexing that respects ethical walls and can be hosted on any cloud or on‑premises environment
- AI Workflows that connect generative‑AI models to the knowledge index for tasks such as question answering, matter summarization, and report generation
- Model‑agnostic architecture allowing selection or combination of commercial and open‑source LLMs
- Low‑code workflow builder enabling fully customizable, composable legal AI agents tailored to firm‑specific processes
- Integration connectors for common legal document management, intranet, and metadata systems