Notum

Product Introduction

1. Definition: Notum is an AI-powered legal intelligence platform and technology partner. It functions as a secure, document-understanding system that operationalizes institutional knowledge for law firms using artificial intelligence, natural language processing (NLP), and knowledge graph technology.
2. Core Value Proposition: Notum exists to transform static, siloed legal document libraries into dynamic, queryable knowledge bases. Its primary value is enabling law firms to safely operationalize institutional knowledge by turning case files, contracts, and filings into an accessible asset that delivers cited, plain-English answers, thereby increasing efficiency, preserving institutional memory, and ensuring work product remains secure and privileged.

Main Features

1. Semantic Document Search & Question Answering: Notum's core engine allows users to ask questions in plain English rather than relying on exact keyword matches. It utilizes advanced NLP to understand context, synonyms, and legal terminology. When a query is made (e.g., "What is the deadline to file a notice of claim against a public entity in Arizona?"), Notum parses the question, identifies relevant information across the entire document corpus, and generates a synthesized answer.
2. Automated Entity and Relationship Mapping: This feature goes beyond basic search to build a structured knowledge graph. The system automatically identifies and extracts entities like people, law firms, courts, clients, and case citations from documents. It then maps the relationships between them (e.g., REPRESENTS, FILED_BY, HAS_DETAILS), creating a visual and queryable network that reveals connections that would take hours to trace manually.
3. Source-Linked Citations and Contextual Verification: Every answer generated by Notum is directly traceable. The system embeds built-in citations that link the synthesized answer to the exact source page and paragraph in the original document. Users can click to view the original context, eliminating the need for manual PDF downloads and verification, ensuring accuracy and build trust in the AI-generated output.
4. Unified Entity Resolution: Notum resolves inconsistencies in how entities are named across different documents. It automatically recognizes that "Acme Corp," "Acme Corporation," and "ACME" refer to the same entity, providing a single, consistent entity view ("knows who's who") which is critical for accurate search, relationship mapping, and due diligence across large document sets.

Problems Solved

1. Pain Point: Inefficient Document Discovery & Information Retrieval. Legal professionals spend excessive time searching through vast, disorganized document libraries using outdated keyword-based methods. This leads to missed details, duplicated work, and slow response times for tasks like due diligence, research, and case preparation.
2. Target Audience: The primary users are legal professionals, including law firm associates, partners, paralegals, legal researchers, and knowledge management teams within firms of all sizes, from solo practitioners to global enterprises.
3. Use Cases:
   • Case & Matter Research: Quickly finding all contracts signed by a specific client, or all motions filed in a particular case.
   • Filing Deadline Calculation: Asking plain-English questions to determine critical jurisdictional deadlines (e.g., statute of limitations).
   • Conflict Checks & Due Diligence: Rapidly cross-referencing large document sets to identify key details, risks, and counterparty relationships.
   • Institutional Knowledge Preservation: Ensuring past work product and firm expertise remain searchable and accessible when associates leave the firm.

Unique Advantages

1. Differentiation: Partnership Model & Operational Focus. Unlike standard SaaS document management or search tools, Notum positions itself as a technology and AI partner. It focuses on a collaborative onboarding and implementation process to identify high-value opportunities and embed the solution into existing legal workflows, ensuring measurable value rather than just providing a standalone software tool. It is built with direct input from legal professionals (e.g., Arizona law firms).
2. Key Innovation: Integrated Knowledge Graph & Citation Engine. The core innovation is the combination of automated entity recognition, relationship mapping, and direct source citation into a single, seamless workflow. The system doesn't just return a document; it constructs and visualizes a network of information and provides answers grounded in verifiable evidence, which is critical for legal accuracy and trust. All data is isolated in a private, firm-specific environment with enterprise-grade security, including SSO and future permission controls.

Frequently Asked Questions (FAQ)

1. What is Notum and how does it work for law firms? Notum is an AI legal partner that helps law firms operationalize their institutional knowledge. It works by ingesting your firm's document library (PDFs, scans, Word files, etc.), using AI to automatically identify and connect key information like people, firms, and cases, and then allowing your team to ask plain-English questions to get immediate, cited answers.
2. How does Notum ensure the security and privacy of our sensitive legal documents? Notum provides each firm with its own private, isolated space. Your documents, queries, and data never mix with other firms. It supports single sign-on (SSO) with major identity providers and is implementing matter-level permission controls to mirror your existing document access policies, ensuring privileged information stays privileged.
3. Can Notum work with our existing document management system and formats? Yes. During onboarding, Notum ingests your existing document library, which supports common formats including PDFs, Microsoft Word, plain text, scans, and handwritten notes. The platform is designed to be integrated into your existing workflows, not replace your core systems.
4. What types of questions can I ask Notum, and how accurate are the answers? You can ask complex, natural language questions that require synthesis across documents, such as "Find all expert witness reports related to product liability for the Smith case." Every answer is automatically linked to the exact source page, allowing for immediate verification. The AI is trained for legal contexts, and its output is designed to be a starting point for professional review, not a replacement for legal judgment.