Aloi vs Picard.law

Aloi is paid legal software for teams working with complex agreements, with pricing available on request. It brings a firm's proprietary knowledge, precedents, and judgment into daily workflows to help teams retrieve evidence, identify risks, and make decisions. Its precedent finder searches a firm's document management system and ranks comparable agreements by structure, clauses, deal terms, and context. For drafting, Aloi can turn agreed terms into long-form agreements, placing clauses and definitions while detecting possible conflicts and inconsistencies. It analyzes past agreements and decisions to surface market practice, recurring risks, and negotiation patterns. Interactive drafting suggests alternate clause wording and strategic adjustments based on firm standards, client preferences, and prior drafting. For redline review, it assesses counterparty edits against earlier agreements and negotiation outcomes. Aloi runs within a firm's cloud or designated infrastructure, with data held in the firm's VPC or controlled hosting environment. It inherits the firm's permission model, and its personnel do not have access to customer data by default. Listed safeguards include encryption, role-based access, SSO, MFA, and audit logging; the company also lists GDPR-aligned processing and data export and deletion capabilities.

Picard.law offers open-source legal AI that runs locally and a managed cloud product for production teams. It analyzes legal documents and answers questions with citations tied to the documents, refusing when supporting evidence is missing. Matter workspaces keep uploaded agreements and diligence packs in shared context. Tabular review extracts information across documents and cites each cell to a page and quote; the open-source version also supports Excel export. Picard OSS runs on one machine with documents stored locally, using BM25 full-text search and CARP retrieval on SQLite FTS5. Picard.law Cloud is managed on Azure and uses Neo4j GraphRAG. The maker describes OSS as suited to legal engineers and air-gap use, while Cloud is aimed at production legal AI teams. OSS is single-user and has no built-in authentication. Its plan costs nothing under AGPL for local development and proof of concept, but users pay model API costs with their own keys. The products are available on the web and self-hosted.