Gavel vs Tiro

Gavel offers two legal software products: Gavel Exec for AI contract review and drafting, and Gavel Workflows for automating legal documents. Exec works in Microsoft Word and online, where it can review, redline or draft contracts, apply playbooks, compare terms with market data and explain changes. Workflows converts client intake answers and templates into Word documents and PDFs using structured workflows. Listed integrations include Clio, Zapier, DocuSign and Stripe; API access is available on higher tiers. Gavel says its products are designed for transactional attorneys, law firms and legal teams. Exec is SOC 2 Type II certified. Gavel also says data is encrypted in transit and at rest, undergoes regular third-party security testing, and that Exec has zero-retention commitments with AI providers. Workflows plans have tier-specific workflow and usage limits. Lite costs $83 a month, while Scale costs $417 a year. Exec has a free trial with 25 queries per user; its paid plan costs $160 a month or $1740 per user billed annually.

Tiro is contract review and negotiation software for inbound agreements. It combines deep-learning algorithms, a logic-based expert system, and integrations with large language models such as GPT. Contracts can be checked against an organisation’s policies or industry standards, with key terms, party responsibilities, risks, and red flags identified. Negotiation support includes issue guidance, standard wording, clause libraries, precedent search, redlining, and requested-change lists. Tiro extracts contract metadata and risk data, analyzes executed contracts, and provides search and Q&A across those agreements. Risk information can appear in reports or documents or be sent to another platform. Access is available through a web app with document storage and a Microsoft Word add-on. Listed integrations include CLM, vendor management, Microsoft Teams, HighQ, and SharePoint. It currently reviews goods and services contracts across listed sectors, plus NDAs. Pricing is on request, based on volume or bulk review.