Shortlist by what you need
Start here if you know why you are leaving Harvey.
Want the closest match?
Kira SystemsMost similar to Harvey in what it does, its category and its price.
Visit (opens Kira Systems in a new tab)Want to pay less than Harvey?
ClioFrom $49/mo, against from $333/mo for Harvey.
Visit (opens Clio in a new tab)Want the best rated?
EverlawRated 4.5 out of 5 in our review, against 4.4 for Harvey.
Visit (opens Everlaw in a new tab)
At a glance
Green means better than Harvey, red means worse. Prices are starting prices per month.
| Tool | Our rating | Starts at | Free plan | Best for | Compare |
|---|---|---|---|---|---|
 HarveyBaseline | 4.4 | $333/mo | No | Backed by OpenAI's own startup fund, reaching an $11 billion valuation in 3 years | |
| Kira Systems | 4.1−0.3 | Not listed | No | Litera's AI contract-review platform trained on over a million contracts, used inside most top-100 global law firms. | vs Harvey |
 Legora | 4.3−0.1 | $300/mo$33 less | No | Crossed $100M ARR in its third year, one of the fastest enterprise-software ramps on record | vs Harvey |
 Luminance | 4.2−0.2 | Not listed | No | Trained its own proprietary LLM on more than 150 million legal documents | vs Harvey |
| Clio | 4.3−0.1 | $49/mo$284 less | No | The largest M&A deal in legal tech history just made its AI reach every corner of the practice | vs Harvey |
 CoCounsel | 4.3−0.1 | $375/mo$42 more | No | Reached 1 million users in 3 years, backed by Thomson Reuters after a $650M acquisition | vs Harvey |
 Definely | 4.0−0.4 | Not listed | No | Nearly tripled ARR in a single year, built by two former Freshfields lawyers | vs Harvey |
| Everlaw | 4.5+0.1 | Not listed | No | Cloud-native ediscovery and litigation platform with built-in AI for document review and case analytics. | vs Harvey |
 GC AI | 4.1−0.3 | $500/mo$167 more | No | AI platform built for in-house legal teams to draft, review and research | vs Harvey |
The alternatives in detail
In order of how closely each one matches Harvey.
Kira Systems
4.1Not listed
vs Harvey−0.3
Litera's AI contract-review platform trained on over a million contracts, used inside most top-100 global law firms.
- Predictive AI trained on over a million contracts
- Hybrid predictive-AI plus generative-AI review workflow
- Grid Chat natural-language querying across review data
Long track record dating to 2011 with deep adoption among top law firms
Enterprise-only pricing with no published rates makes budgeting hard upfront
Legora
4.3$300/mo
vs Harvey$33 less−0.1
Crossed $100M ARR in its third year, one of the fastest enterprise-software ramps on record.
- AI workspace unifying public legal sources and a firm's own documents
- Crossed $100M ARR in its third year of operation
- $866M raised across eight rounds, $5.6B valuation as of April 2026
Exceptionally fast revenue growth validates strong large-firm demand
Per-user pricing still runs $300-$800 monthly, an enterprise-scale commitment
Luminance
4.2Not listed
vs Harvey−0.2
Trained its own proprietary LLM on more than 150 million legal documents.
- Proprietary LLMX model trained specifically on legal documents
- Pattern-recognition engine trained on 150 million-plus legal documents
- One of the earliest companies applying machine learning to legal contracts, since 2015
Purpose-built legal model rather than a general-purpose LLM adapted afterward
Pricing isn't published, requires a direct sales conversation
Clio
4.3$49/mo
vs Harvey$284 less−0.1
The largest M&A deal in legal tech history just made its AI reach every corner of the practice.
- Manage AI converts practice tasks into completed actions, not just suggestions
- Automatically extracts deadlines from court documents into calendar events
- Generates and routes invoices, drafts client updates automatically
AI integrated directly into billing, calendaring, and case files already in use
Manage AI is a paid add-on on top of the base Clio Manage subscription
CoCounsel
4.3$375/mo
vs Harvey$42 more−0.1
Reached 1 million users in 3 years, backed by Thomson Reuters after a $650M acquisition.
- First AI legal assistant built on GPT-4, launched March 2023
- Backed by Thomson Reuters after a $650M acquisition of Casetext
- Multi-model architecture spanning Anthropic, OpenAI, and Google models
Thomson Reuters backing brings deep legal-content integration most competitors lack
Practical Law integration requires the higher-priced tier to access fully
Definely
4.0Not listed
vs Harvey−0.4
Nearly tripled ARR in a single year, built by two former Freshfields lawyers.
- AI drafting, editing, and proofreading built for complex negotiated documents
- Catches defined-term errors and cross-reference mistakes in dense contracts
- Nearly tripled annual recurring revenue in 2024
Founders' Big Law background shows in a focus on genuinely complex documents
Pricing isn't published, requires a sales conversation to get a quote
Everlaw
4.5Not listed
vs Harvey+0.1
Cloud-native ediscovery and litigation platform with built-in AI for document review and case analytics.
- Predictive coding and technology-assisted review for prioritizing relevant documents
- Everlaw AI generative search and StoryEngine for surfacing case narratives across documents
- Built-in Writing Assistant for drafting and summarizing within the review workflow
Consolidates ediscovery, review, and trial prep in one cloud platform instead of separate tools
Pricing is not published, so budgeting requires a direct sales conversation
GC AI
4.1$500/mo
vs Harvey$167 more−0.3
AI platform built for in-house legal teams to draft, review and research.
- Contract drafting tailored to in-house workflows
- Document review across agreement sets
- Legal research with rapid turnaround
Scoped to in-house work instead of generic legal AI
Output still requires review by a qualified lawyer
FAQ
Questions people ask
Is Harvey free?
Harvey does not list a free plan. Paid plans start from $333/mo.
What is the cheapest alternative to Harvey?
Among paid plans, Clio has the lowest starting price (from $49/mo).
How did you pick these alternatives?
We match tools on what they do, their category and their price, using the details in our directory. Ratings come from our reviews and reader reviews.