Pricing
The software has no license cost and no per-seat pricing. You choose the AI model and pay only the API costs you use. A cloud-hosted version is offered with free signup; hosted plan details are not stated.
Learn moreOpen-source legal AI platform that law firms can self-host and extend

MikeOSS is a legal tool. MikeOSS (Mike) is an open-source legal AI platform for document review, contract drafting, case law research and reusable workflows. Law firms can self-host it or use the cloud version, paying only for model API usage.
MikeOSS, branded simply as Mike, is an open-source legal AI platform positioned as a free alternative to commercial products such as Harvey and Legora. It is aimed at law firms and legal teams that want to run, inspect and modify their own AI tooling instead of renting a closed system. The code is public on GitHub, and a cloud-hosted version is also available for teams that prefer not to deploy anything. The core of the product is an assistant: a chat interface that reads uploaded documents, gives citations tied to the source, researches case law, runs multi-step workflows and drafts or edits contracts. Work is organised into projects, which act as matter-scoped workspaces. A team can load credit agreements, share purchase agreements, leases or diligence packs into one project, and the assistant keeps context across every conversation and document in it. Two other features shape daily use. Tabular review extracts structured answers across large sets of documents in a spreadsheet layout, with each cell cited back to a page and a quote. Workflows let firms save proven prompts, such as conditions precedent checklists, credit agreement summaries or change-of-control reviews, and share them as firm-wide templates that junior staff can run in one click. Release notes on the site mention CourtListener research, document version control, MFA, MCP connectors, OpenAI model support and a document library. The commercial argument is cost and control. There is no license fee and no per-seat pricing; firms choose their model and pay only for the API usage they generate. Self-hosting keeps documents inside the firm's own perimeter, which matters for privilege, residency and compliance. Because the prompts, citation parsing and data flows are open, the code can be audited, forked, wired to a document management system or paired with a different citation engine. Compared with proprietary legal AI suites, the trade-off is that a firm takes on more of the deployment and maintenance work, though the hosted option softens that.

The software has no license cost and no per-seat pricing. You choose the AI model and pay only the API costs you use. A cloud-hosted version is offered with free signup; hosted plan details are not stated.
Learn moreRelease notes mention CourtListener for case law research, MCP connectors, and OpenAI model support. The homepage also says firms can integrate their own DMS and citation engine by extending the code.
Learn moreAI assistant with grounded citations, case law research and contract drafting; matter-scoped projects; tabular review across hundreds of documents with cited cells; reusable and firm-wide workflows; self-hosting; open, auditable code.





