Clearlaw is a contract-intelligence layer for in-house legal teams that sits on top of existing Word, CLM, ELM, procurement, and repository workflows rather than trying to replace them outright. The strongest public product evidence is consistent across the live site, Microsoft Marketplace listing, and partnership coverage: Clearlaw uses AI to review third-party paper against a legal playbook inside Microsoft Word, extract structured contract data, surface clause and obligation information across large repositories, and run cross-contract analysis when a company needs to know where risky language or missed value sits. The product looks real and directly relevant to commercial legal work, but the proof remains vendor- and partner-heavy. I did not find public pricing, G2/Capterra coverage, detailed security documentation, or named customer case studies with quantified outcomes. Funding signals are also messy: Clearlaw has an old seed-round announcement and third-party database listings, but the public record is inconsistent enough that I am treating funding maturity as only lightly corroborated. This is real legaltech, but the source category appears wrong: the product fits legal-ai / contract intelligence materially better than compliance-grc.
Company Info
- Founded: 2015
- Team size: 1-10 employees
- HQ: United States
- Sector: CLM & Contracting, Governance/Compliance/Risk Management
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, Clearlaw is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Clearlaw addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
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
I need contract analysis embedded in my existing tools — I shouldn't have to copy-paste into a separate platform every time I want AI to flag risks
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
Where it fits in your workflow
Before Clearlaw
In-house legal team gets a steady stream of vendor and customer paper in Word, while also sitting on a large repository of executed agreements they cannot easily interrogate when a renewal, acquisition, data breach, or procurement question lands.
After Clearlaw
After Clearlaw flags risky clauses or extracts structured data, legal teams still negotiate the paper, route approved positions back through Word or the CLM, and hand obligation or clause data to procurement, sales, compliance, or operations teams for follow-through.
Integrations & hand-offs
Clearlaw -> Microsoft Word for in-line review; Clearlaw -> existing CLM, ELM, procurement, and process-automation systems through its integration layer; Clearlaw -> contract repositories for cross-contract search and obligation analysis. Public evidence does not show broad DMS or matter-management integrations beyond the contract stack.
Also used by similar teams
Community Data
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