Discover Beagle, Inc. is a privately held legal technology company founded in 2021 and incorporated in the United States. Headquartered in Brooklyn, New York, the company operates in the fast-growing AI-powered eDiscovery sector. Beagle focuses on building AI-native software that simplifies and automates the legal document review process. Its mission is to deliver “cruelty-free eDiscovery,” reducing the time, cost, and mental strain of traditional legal review through defensible and transparent artificial intelligence.
The company was co-founded by Sergey Demyanov (CEO) and Maksim Ivanov (CTO), both with backgrounds in machine learning and prior startup experience. Beagle has a small but experienced team, and in early 2024, the company raised $3 million in seed funding led by ML Capital, with participation from Davidovs Venture Collective and notable angel investors, including a co-founder of Hugging Face.
Discover Beagle, Inc. is SOC 2 Type II compliant, emphasizing data security, ethical AI practices, and client privacy. The company also offers professional services to assist legal teams in adopting responsible AI tools. As of now, Beagle operates primarily in the U.S. legal market, serving law firms, corporate legal departments, and litigation support providers.

Discover Beagle, Inc.

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<h3>Introduction</h3>Beagle is an AI-native eDiscovery platform developed by Discover Beagle, Inc., designed to transform how legal teams handle document review in litigation, investigations, compliance, and data breach response. Built entirely around artificial intelligence from the ground up, Beagle aims to reduce the tedious, repetitive, and costly aspects of eDiscovery - a concept it calls “cruelty-free eDiscovery.”Unlike traditional platforms that simply add AI as an enhancement, Beagle integrates AI into every step of the review process. It enables legal teams to quickly identify, summarize, classify, and redact relevant content across large sets of documents. Using natural language prompts, users can define custom review “jobs” such as extracting personally identifiable information (PII), summarizing case facts, or tagging privilege - all while maintaining audit trails and defensibility.With strong privacy controls, SOC 2 Type II compliance, and a usage-based pricing model, Beagle is designed for law firms, in-house legal departments, and legal service providers seeking faster, more accurate, and ethically responsible AI support in document-heavy legal matters.Key Features &amp; CapabilitiesAI‑Native Workflows: The platform is built from the ground up with AI, not as an add‑on. Natural language instructions (so you can tell the system what you want done in plain language), flexible “jobs” or tasks are configured to extract data, identify PII, summarize, classify, etc. Document Review Automation: Beagle supports first‑pass review (automatic tagging etc.), quality control, consistency checks, and metadata / structured data extraction. This helps legal teams surface the most relevant documents fast. Search, Filtering, &amp; Organization: Boolean search, saved searches, filtering by metadata, document previews, highlights, related documents — all tools to help navigate large document sets. Data Extraction &amp; PII Handling: Beagle is designed to identify, extract, and aggregate PII across documents, even across different document types / attachments, tables, etc.Summaries &amp; Insights: The system can generate summaries of documents, surface key insights, help organize findings, assist with redactions and privilege issues. Security &amp; Defensibility: SOC 2 compliance; “zero‑data retention” agreements with certain AI model providers (OpenAI, Anthropic) so that data sent to those endpoints isn’t persisted inappropriately. Also audit trails, validation metrics to ensure reliability. <h3>Legal Research Features</h3>Beagle is oriented primarily toward eDiscovery and document review rather than doctrinal legal research (cases, statutes, treatises). Nonetheless, it can function in a limited "legal research" context by allowing users to query large document sets, litigation facts, internal repositories, and evidence networks. Using natural language search and embeddings, users can ask questions, retrieve relevant documents, and see supporting passages. Built-in validation metrics help users assess confidence in results. Because Beagle is designed to integrate human review, it enables subject-matter experts to validate or override algorithmic outputs. Its association with EDRM indicates it aims to conform to discovery best practices and defensibility standards.

IntroductionBeagle is an AI-native eDiscovery platform developed by Discover Beagle, Inc., designed to transform how legal teams handle document review in litig