DeepJudge AG is a Swiss legal technology company founded in 2021 by former Google researchers and AI experts with PhDs from ETH Zurich. The leadership team includes CEO Paulina Grnarova, COO Kevin Roth, and CTO Yannic Kilcher, all of whom have extensive backgrounds in AI and machine learning, having worked on projects at Google Brain and Microsoft Research. DeepJudge's mission is to transform access to legal knowledge by providing AI-powered precision search and automation tools for law firms and legal departments. The platform enables natural language search across vast internal document repositories, offering semantic understanding of legal content, creation of case timelines, and multi-document collaboration.
Leadership highlights include CEO Paulina Grnarova, who has been featured in Forbes 30 Under 30 and named a Digital Shaper of Switzerland for her AI expertise. COO Kevin Roth and CTO Yannic Kilcher also bring deep AI and research credentials from ETH Zurich and Google.

DeepJudge AG

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Requires High-Quality Input Data. The system's performance is optimized with high-quality, well-organized input data.

Dependence on Cloud Infrastructure. Relying on cloud infrastructure may raise concerns regarding data sovereignty and control.

High Adoption Rates. Achieves over 80% adoption among legal professionals within two months, indicating strong user acceptance and satisfaction.

Comprehensive Semantic Search. Utilizes advanced semantic search to understand context and intent, delivering more relevant and precise results compared to traditional keyword-based searches.

Unified Access to Internal Data. Indexes and integrates data from various internal repositories, including Document Management Systems (DMS), SharePoint, and client portals, providing a single interface for all firm knowledge.

Integration with Internal Knowledge Systems. Integrates seamlessly with common document, experience, intranet, and metadata systems used by legal teams.

Customizable AI Workflows. Offers a low-code/no-code interface for customizing AI workflows to meet specific firm needs without extensive technical expertise.

Secure and Compliant Architecture. Ensures data remains within its source system, respecting access permissions and ethical walls, and can be hosted in any public or private cloud, or on-premises.

Real-Time Access to Internal Firm Data. Provides instant and accurate access to internal firm data at scale, enabling law firms to build, manage, orchestrate, and govern AI-powered workflows tailored to their specific needs.

<h3>Introduction</h3><p>DeepJudge is a next-generation AI-powered legal technology platform designed to enhance legal teams' access to and use of their collective knowledge. Founded by machine learning PhDs with expertise in deep learning and natural language processing, DeepJudge provides precision AI search over extensive law firm and corporate document repositories. The platform understands legal language contextually and retrieves relevant information quickly through natural language queries. DeepJudge also offers AI workflows enabling firms to automate complex, multi-step legal processes without data migration, boosting efficiency and accuracy in legal research, document review, and workflow automation.</p><h3>Legal Research</h3><p>DeepJudge’s strength lies in legal research within an organization. It allows lawyers to query an internal knowledge base spanning past matters, documents, contracts, negotiation history, client files, etc., using natural language. For example, you can search “have we ever seen this clause from opposing counsel in prior agreements” or “how did we handle a termination clause in previous contracts with different counterparties.” Its “Knowledge Search” is built on a proprietary model combining semantic AND keyword search, enabling relevance by concept and not just by literal keywords. Because it integrates with document management systems, SharePoint, emails, etc., discrete knowledge that was previously siloed or hard to find becomes accessible. However, it is not a tool for external legal research (case law, statutes, regulatory databases) by default. </p><h3>Contract Analysis</h3><p>DeepJudge offers some contract-analysis adjacent features: detecting clause variants, classifying documents, recognizing redlines or duplicate documents, filtering by metadata, and enabling workflows that compare clause usage across documents. For instance, its AI Workflows allow identifying whether opposing counsel has previously agreed to specific clause wording, or highlighting how a clause was handled in past negotiations. By surfacing precedents from internal contracts, it supports risk evaluation (e.g. unusual clause wording). However, DeepJudge does not appear to offer full contract lifecycle management (CLM), negotiation tracking, automated redlining edits in the same way as dedicated contract analysis tools; nor does it draft clauses from scratch (see below). So its contract analysis is strong in precedent comparison, clause retrieval, but less strong in drafting recommendation or negotiation playbooks. </p>

Review DeepJudge, the Swiss AI platform transforming legal research and knowledge management with advanced natural-language search and generative tools.