Cloud, enterprise and self-hosted AI: what deployment labels mean
Plain-English explanation of deployment labels and their practical consequences for confidentiality, cost, control and support.

Plain-English explanation of deployment labels and their practical consequences for confidentiality, cost, control and support.
Self-hosted Docker-based PDF tool. Running locally. No-login, offline private PDF processing.
Established product legal AI for research, contract review, and deposition prep. Backed by Westlaw's authoritative case law database with agentic AI capabilities.
Relevant open-source model suite handling complex legal reasoning, contract analysis, and multi-language document summaries. Extremely popular for private, locally hostable deployment.
Designed for custom LLM platform backed by OpenAI, designed for enterprise law firms and corporate legal departments.
Meta's open-source Llama model engine powers many private, self-hosted legal AI setups. Law firms use it to build fully on-premise document review tools ensuring zero data leaves the firm.
Europe's flagship AI model. Known for European hosting and compliance options may be available depending on plan and configuration and multi-language contract processing (especially French, German, and Spanish). Free web app and open weights.
Command-line tool that adds a searchable OCR text layer to scanned PDFs. Batch processing. Uses Tesseract. Open source and cross-platform.
Free, fine-tuned legal LLMs trained exclusively on legal texts, court decisions, and briefs. Law firm IT teams can download and deploy them locally for free.
Self-hosted Docker-based PDF toolkit running locally. Merge, split, convert, OCR, compress, sign, and more — all offline and private. No data leaves your server.