Legal AI tools

This tool provides a six-agent automated drafting pipeline that generates IP litigation pleadings under Indian law, including copyright, trademark, patent, and design claims. It includes specialized skills tailored to relevant Indian statutes and procedural rules while using a local privacy gateway to sanitize sensitive client data.

Provides a six-agent drafting pipeline tailored to Motor Accidents Claims Tribunal (MACT) litigation under Indian law. It includes specialized skill scaffolds for drafting fault-based petitions, hit-and-run claims, section 173 High Court appeals, and execution applications in compliance with statutory rules like the Motor Vehicles Act.

jhana enables Indian legal professionals and teams to conduct deep legal research, draft arguments, and analyze bulk case files. It offers citation-backed research across 16M+ Indian court judgments and statutes alongside document review capabilities.

legal-doc-processing provides NLP tools specifically designed to extract data from legal documents like court orders, complaints, and legal press releases. Originally developed as the backend framework for French legal tech company Theolex, it offers developers and legal tech teams a pre-packaged toolkit to process domain-specific legal texts.

legal_NER provides pre-trained models and post-processing tools specifically tuned for the peculiar terminology and formatting of Indian court judgments. It extracts custom legal entities including provisions, precedents, court names, petitioners, and respondents, which generic NLP tools like spaCy fail to capture.

Provides GDPR-compliant anonymization and reversible pseudonymization of Polish identifiers (PESEL, NIP, REGON, KRS, court signatures, addresses, names) directly on local machines. Designed for legal workflows to safely process court filings and documents before sending text to external LLMs while maintaining entity cross-referencing across multi-document case files.

mcp-taiwan-legal-db allows AI agents like Claude to access Taiwan's Judicial Yuan judgment database, Laws and Regulations database, and Constitutional Court decisions. It provides structured tool capabilities for legal research, full-text case search, statute lookups, and citation graph tracing directly within LLM workflows.

This model detects 22 categories of personal data, specifically targeting Italian legal identifiers like codice fiscale, partita IVA, and dati catastali. It allows law firms to anonymize legal text locally before sending prompts to external LLM APIs, ensuring compliance with GDPR.

Developed by in-house attorneys at GitHub, terms-ai streamlines commercial contract review and drafting. It enforces custom drafting guidelines and pulls context from approved internal agreement repositories to cut review times and improve consistency.

terms-ai offers clause-by-clause contract analysis, risk evaluation, and redline suggestions grounded in modern plain-language drafting principles. Built as a customizable open-source project, it allows legal teams to upload documents in multiple formats and tailor internal knowledge bases for personalized contract reviews.

terms-ai offers clause-by-clause contract analysis, risk evaluation, and provision drafting grounded in plain-language drafting principles. Designed for legal teams and individual lawyers, it can be customized by loading organizational contract templates and provision examples.

vLex Labs connects enterprise legal teams with vLex's R&D team to construct custom AI solutions and proprietary workflows. It allows firms to integrate internal knowledge management systems with vLex's global legal database and build bespoke research and predictive analytics tools.