Genie AI is a London-based legal AI platform for drafting, reviewing, and negotiating contracts across 120+ jurisdictions. Founded 2017 by CEO Rafie Faruq. Raised $23.4M total ($17.8M Series A in Oct 2024 led by Google Ventures with Khosla Ventures). 11-50 employees. Claims 100,000 users and 9,000 lawyers globally. Platform covers: contract creation from templates or AI generation, AI-powered document review with clause flagging and risk identification, real-time clause-by-clause negotiation collaboration, and a free template library. Has a free tier plus paid plans (3 pricing editions on G2). G2 listed with reviews. SOC 2 compliant (per data subprocessors page). Targets startups, SMBs, in-house legal teams, and small law firms. Featured in Financial Times alongside Luminance and Robin AI as leading UK legal AI startups. r/Lawyertalk in-house counsel says ‘for drafting or reviewing I just stick with Genie AI — it’s been way smoother.’ Has own subreddit r/genie. Comparison pages vs Microsoft Copilot, Henchman, etc. Fully remote team.
Company Info
- Founded: 2017
- Team size: 11-50 employees
- Funding: $23.4M
- HQ: United Kingdom
- Sector: Legal Marketplace, Document Management & Storage
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Genie AI is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Genie AI addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
NDAs and routine contracts take 3-7 days because every single one routes through legal — no self-service for standard terms
Transactional attorney reviews 5-10 contracts per week by reading every line in Word — no AI risk flagging, no clause benchmarking against market standards, no automated issue spotting. Missing a problematic indemnification clause or non-standard termination provision is a malpractice risk that scales with volume
General counsel knows the legal team reviews the same types of agreements hundreds of times a year but has no aggregate data on what clauses get negotiated most, what positions counterparties accept, or where deals stall — every contract review starts from zero institutional knowledge
SaaS startup closing its first enterprise deal spends $5,000-15,000 on outside counsel to draft a Cloud Service Agreement from scratch — then the customer's legal team redlines 80% of it anyway because neither side trusts the other's paper
Where it fits in your workflow
Before Genie AI
Business team needs contract → in-house counsel or startup founder opens Genie AI → selects template or uploads existing contract for review.
After Genie AI
Contract drafted/reviewed → sent to counterparty for negotiation (Genie AI supports real-time collaboration) → final version executed and stored.
Integrations & hand-offs
Business team → Genie AI (self-service drafting). In-house counsel → Genie AI (AI review). Genie AI → counterparty (negotiation). Final contract → company's document storage.
Also used by similar teams
Community Data
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