Harvey
An AI tool built only for legal work that researches case law, reviews contracts, and analyzes large document sets for law firms and in-house teams.
A contract review and search tool for in-house legal teams, built with Anthropic and AWS, that also offers a managed review service.
Robin AI is a legal AI tool for in-house legal teams reviewing, negotiating, and searching contracts every day. Its chat feature lets a whole team discuss a contract inside one shared, searchable thread instead of scattered emails, and Robin AI Query searches across a company's entire contract repository to find a specific clause within seconds. The underlying AI is trained on more than 4.5 million legal documents and 100 million individual clauses, and the company states it can cut contract review time by about 80 percent. It is made by Robin, founded in 2019, partners with Anthropic and AWS on its AI models, connects with SharePoint, Box, Google Drive, and Dropbox, holds ISO 27001 and SOC 2 certifications, and complies with GDPR.
This fits an in-house legal team drowning in NDAs, vendor deals, and other repeat contract types, and a company without much in-house legal staff, since Robin also offers a managed review service where its own team handles contracts for you. Robin does not publish pricing, so ask for a quote based on your contract volume and whether you want software only or the managed service too, and treat any online number as a rough estimate. A good starting point is a pilot on one contract type, such as NDAs, using Robin AI Query on that set to test search accuracy. One thing to check carefully is the name: a different company, Robin Powered, makes workplace booking software, so confirm you are looking at the legal AI company before requesting a demo.
How one company factor at a time moves the modeled score. The published score is unchanged.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $64.3K | $101.5K | $164K |
| Three-year total | $137.2K | $207.8K | $322.5K |
| First-year cost per unit | $64.3K | $101.5K | $164K |
| Average annual cost per unit (over three years) | $45.7K | $69.3K | $107.5K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $18.8K | $25K | $33.8K |
| Implementation | $10.8K | $18K | $30.6K |
| Integration | $12.1K | $22K | $39.6K |
| Staff time and change management | $7K | $10K | $14K |
| Security | $6K | $8.5K | $12.8K |
| Administration | $4.5K | $6K | $8.1K |
| Support | $2.1K | $2.8K | $3.8K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production workspace. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Robin AI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
An AI tool built only for legal work that researches case law, reviews contracts, and analyzes large document sets for law firms and in-house teams.
LexisNexis
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Thomson Reuters
An AI assistant for lawyers, tax staff, and auditors that answers questions backed by Westlaw case law and drafts memos and briefs, from Thomson Reuters.
An AI contract review tool that redlines contracts against more than 135 lawyer-written playbooks, scaling from a solo attorney to a 40-person department.
Where to check the product, price, security, and support.
Research observations recorded: 1. Evidence quality: Some support.
Recorded score and category rank across research updates.
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