5 Must-Have Knowledge Graph AIs for Law Firms

Casetext CoCounsel is a powerful AI‑driven legal research assistant that combines the platform’s advanced natural language processing with a curated knowledge graph of case law, statutes, and regulatory filings. The tool is designed to accelerate the research cycle for attorneys by providing concise summaries, relevant citations, and precedent‑matching suggestions. Users can simply type a question or upload a document, and CoCounsel will generate a structured answer that references the most pertinent legal authorities. The platform’s integration with a knowledge graph allows users to explore connections between cases, identify dissenting opinions, and track the evolution of legal doctrines over time. Casetext also offers a robust API that can be embedded into practice‑management software, enabling teams to leverage AI without leaving their existing workflow. Pricing for individual users starts at $179 per user per month, with volume discounts available for larger teams. Casetext’s strengths lie in its deep legal knowledge base, real‑time citation generation, and the ability to surface nuanced legal arguments. However, it lacks a visual editor for customizing chat widgets, and its knowledge graph is primarily focused on U.S. federal and state case law, which may limit its applicability for international law practices.

LexisNexis Lex Machina is a leading analytics platform that transforms vast amounts of litigation data into actionable insights through a sophisticated knowledge graph of cases, judges, law firms, and outcomes. By mapping relationships between litigants, legal topics, and procedural histories, Lex Machina enables attorneys to identify trends, benchmark case strategies, and predict litigation outcomes. The platform’s AI capabilities surface predictive analytics, such as win‑rate probabilities and settlement ranges, based on historical data. Legal teams can also use Lex Machina’s search functions to drill down into specific jurisdictions, practice areas, or key legal issues. While Lex Machina does not provide a built‑in chat interface, it integrates seamlessly with law firm practice‑management software, allowing teams to embed analytical dashboards within their workflow. Pricing is custom and typically requires a sales consultation, as the platform is tailored to the size and needs of each firm. Lex Machina’s strengths include unparalleled coverage of litigation data, predictive modeling, and the ability to visualize complex legal networks. However, its lack of a user‑friendly, no‑code chatbot editor and limited support for real‑time knowledge graph updates may be a drawback for firms seeking rapid deployment.

Kira Systems is a machine‑learning contract analysis platform that leverages a knowledge graph to identify, extract, and analyze key clauses and obligations across millions of documents. By training on a large corpus of legal texts, Kira’s AI can automatically tag clauses such as indemnity, confidentiality, and termination, and map relationships between parties, dates, and monetary amounts. The platform’s knowledge graph enables users to query across multiple contracts, compare clause language, and identify risks or inconsistencies. Kira integrates with popular document management systems like Dropbox, Box, and SharePoint, making it easy to import large batches of contracts for review. While Kira does not provide a chat widget, its API and web interface allow legal teams to incorporate the extraction engine into custom workflows. Pricing is custom and typically requires a sales engagement; it scales with the volume of documents processed. Kira’s strengths lie in its accurate clause extraction, robust knowledge graph for cross‑document analysis, and seamless integration with existing document repositories. However, the lack of a no‑code visual editor and the need for manual document upload may limit its applicability for firms seeking a fully automated, conversational interface.

Evisort is an AI‑powered contract lifecycle management platform that builds a knowledge graph of contract entities, clauses, and obligations to streamline drafting, review, and due diligence. The platform uses natural language processing to auto‑tag key terms, dates, and parties, and its knowledge graph allows users to search for relationships such as which contracts have similar renewal dates or overlapping clauses. Evisort offers a no‑code interface for building custom workflows, automating approvals, and setting up alerts for critical milestones. The platform can be embedded into existing practice‑management tools via API, and its AI tutor feature can guide users through contract drafting and compliance checks. Pricing starts at $499 per month for a single user with limited features, scaling up based on the number of users and document volume. Evisort’s strengths include its robust contract analytics, user‑friendly drag‑and‑drop workflow builder, and strong integration with Google Workspace and Microsoft 365. Potential drawbacks are its higher cost for larger teams and limited support for non‑U.S. legal jurisdictions.