
Free / Open-sourceThe AI workspace where teams and agents get work done together
Iris.ai records 22,006 monthly visits with -27.9% month-over-month growth and Contact for Pricing pricing. legislate.tech records 9,675 monthly visits with +28.4% growth and Contact for Pricing pricing.

AI-assisted contract drafting, data extraction and legal knowledge management
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | iris.ai | legislate.tech |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 22.01K (22,006) | 9.68K (9,675) |
| MoM Traffic Delta | -8.52K (-27.9%) | +2.14K (+28.4%) |
| Primary Market & Share | 🇮🇳 India (19.7%) | 🇬🇧 United Kingdom (36.1%) |
| Direct Visits / mo | 8.76K | 3.79K |
| User Rating | 4.3 | 4.2 |
| Supported Platforms | Website | Website |
An expert AI harness that controls what a model reads and measures how it answers
Defines which documents and internal sources a language model may read, restricting answers to approved material.
Measures and records how an answer was assembled so outputs can be audited and reproduced.
Applies a decade of NLP work on technical literature and patents to interpret dense scientific language.
Turns unstructured documents and enterprise data into structured, AI-ready intelligence.

AI-assisted contract drafting, data extraction and legal knowledge management
Generate tenancy agreements, employment, consultancy, internship and NDA documents by answering plain-language questions, using templates that are kept in line with current legislation.
Upload existing contracts and let the platform pull out key terms, dates and obligations, turning unstructured paperwork into structured, queryable records.
Store every agreement in one vault with permissions, then filter, compare and run analytics across the portfolio to spot renewal dates and risk areas.
Bring large existing contract sets into the system at once, or integrate the platform with your own tools through the documented API.

Free / Open-sourceThe AI workspace where teams and agents get work done together

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