BenchRank
#5 in Legal & ContractsUpdated 2026-08

Mike

by Mike · Open-source legal AI platform firms can self-host

BenchRank score

30.2 — BenchRank score out of 100

Screenshots of Mike

Homepage · Mike

Homepage of Mike

Overview

Mike is an open-source legal AI platform for law firms, used through a hosted cloud version or deployed from the source repo. A chat assistant reads documents uploaded into matter-scoped projects, gives grounded citations, researches case law and drafts contracts. Tabular review extracts fields across hundreds of documents in parallel, and saved prompts become reusable workflows.

Best for
Law firms that want to self-host a legal AI assistant and keep documents inside their own perimeter.
Pricing
No prices are shown: the platform is open source with zero licence cost and you pay your own model API costs, while the cloud version offers a free sign-up with no rates published.
Runs on
WebSelf-hosted

Strengths and trade-offs

Strengths

  • Self-hostable, so documents stay inside the firm's perimeter
  • No licence fee; you pay only the model API costs you incur
  • Tabular review cites each cell back to a page and a quote
  • Open code: prompt building, citation parsing and data flow

Trade-offs

  • Still early: releases run v0.1.0 to v0.4.0 over four months
  • Self-hosting puts deployment and maintenance on the firm
  • Model API costs are separate and not included
  • No price shown for the cloud-hosted version

How Mike markets itself

A structured read of the promise, proof and page design on Mike’s captured homepage.

Homepage capture

“Legal AI you can truly own.”

  • Angle: Open source / ownership
  • Hero: Illustration

Pricing

Published plans and prices from Mike’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The Mike pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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