Samey - AI Assistant for Legal and Accounting teams - 2026 Pricing, Features, Reviews & Alternatives

Samey - AI Assistant for Legal and Accounting teams is a cloud-based, web-based AI assistant built for legal firms, accounting firms, finance teams, and consulting practices. It integrates with 22+ enterprise applications, including Google Drive, Outlook, Slack, Salesforce, Xero, Clio, and Microsoft Teams, to centralise data access and execute complex, multi-step tasks from plain English instructions. No setup or credit card is required to get started, and the platform is fully GDPR compliant with no AI model training on user data.

Core functionality spans four operational areas: cross-application search, workflow automation, document management, and automated scheduling and reporting. Natural language processing (NLP) and machine learning (ML) power the text-to-action engine, which interprets plain English commands and carries out tasks across connected platforms. Retrieval-augmented generation (RAG) with third-party data integration allows the assistant to surface accurate, source-linked responses from live enterprise data. Contract review assistance highlights key terms and flags potential issues with source links, while data trend analysis surfaces insights and recommendations from aggregated enterprise data. Role-based access control and encrypted workflows enforce compliance and data security across all operations.

Samey - AI Assistant for Legal and Accounting teams targets SMEs and scaling companies in the legal, finance, and consulting sectors, as well as individual practitioners and freelancers. By automating repetitive manual tasks, the platform reduces estimated daily time costs by 2-3 hours per professional, lowers operational overhead from manual labour, and cuts human error in document extraction and data entry. Legal teams gain specific tooling for court appearance scheduling, deadline tracking, and large-scale document review and due diligence, while accounting and finance teams benefit from automated reporting and cross-system data retrieval.