GenieAI

• Reviewing a supplier MSA against the company's commercial playbook and redlining every deviation in tracked changes, with open points listed by risk
• Building a first playbook of standard positions, fallbacks and red lines from 30 signed consultancy agreements
• Answering a counterparty's redraft: summarising what changed, replying to every comment and tracked change from playbook positions, and emailing the redline from Outlook
• Drafting an NDA from an approved template and sending the final version for signature through DocuSign or Adobe Acrobat Sign
• Reviewing 60 contracts in a data room, ranking issues by risk and drafting a due diligence report
• Finding every customer contract affected by a regulatory change, drafting the amendment and listing who needs to sign

GenieAI's agent design is as ambitious as anything at the enterprise end of legal AI: a lead agent that staffs each job, specialists that write their own tools, a reviewer gate on every phase, and edits that land as real tracked changes in the client's own Word file. What makes it a different decision from Harvey or Legora is who can buy it. A founder or a two-person legal team can sign up today, see published prices and run a playbook review on counterparty paper without a demo. The limits show up as usage grows: Pro's allowance covers only a handful of documents a month, the jurisdiction and language breadth GenieAI markets sits on the Enterprise plan, research relies on official sources rather than commercial databases, and content is used for training unless you email to opt out. Opt out first, then test it on a real negotiation round with your own playbook, and judge it on whether the redline you would send back needs fixing, not on the vendor's benchmarks.

About GenieAI

GenieAI (written Genie AI until 2026, legal entity Genie AI Limited) has built legal document tools in London since 2017 and is backed by GV and Khosla Ventures. Its current generation, Agentic Legal Specialists (called Legal Specialist Agents in the press release), launched on November 5, 2026 and evolved from the multi-agent Legal Workflows that came with Genie 3.0 in May 2026. You describe a task in plain English, such as reviewing a supplier's markup against your playbook or moving 30 legacy NDAs onto a new template. A lead agent (the Project Lead) asks the questions a lawyer would ask, writes a staged plan and decides which specialist agents the job needs, in which order, which model runs each step and which quality gates apply. When a task needs a tool Genie does not have, the agents write one in code at runtime; GenieAI says each tool is reviewed by a second agent and run in a read-only sandbox. An independent reviewer agent checks each phase (requirements, plan, execution, delivery), and after three failed checks Genie stops and asks you; you can also stop or steer a task mid-run. Output lands in the Agentic Editor, which edits the Word file you uploaded in native tracked changes, keeps numbering, styles and cross-references, answers or adds comments, and saves every change as a version. Around the agents sit Playbooks (which Genie can build from your past signed agreements), an issue tracker that carries open points across negotiation rounds, legal research checked against approved official sources in 15 jurisdiction groups, and Spaces, Libraries and Insights for organising contracts and tabulating answers across many documents. Connectors pull files and emails from Google Drive, OneDrive, SharePoint, Gmail and Outlook, send the redline from your own address and prepare signature requests in your own DocuSign or Adobe Acrobat Sign account, and a Word add-in puts a Genie side panel inside Word. What sets GenieAI apart from Harvey and Legora is the buyer: individuals and small business teams can sign up self-serve, with a free plan, Pro at $75 a month and Business at $320 a month for five users, alongside quote-based Enterprise deals. The tradeoffs: Pro's token allowance is described as enough for around five documents a month; coverage of 150+ jurisdictions and 10+ languages, SSO and API/MCP access are listed only on Enterprise; customer content is used for GenieAI's AI training unless you opt out by email; SOC 2 Type II is still in review; and the benchmarks GenieAI publishes are its own tests.