Harvey AI Acquires Hexus to Win Enterprise Legal Adoption
Harvey AI has acquired Hexus, a startup known for product demo, video, and guide tooling. The deal, confirmed in San Francisco on October 13, 2025, is aimed squarely at one goal: faster, cleaner adoption of AI across corporate legal departments.
Hexus founder and CEO Sakshi Pratap now leads an engineering group focused on in-house legal. Her background at Walmart, Oracle, and Google brings hard-earned enterprise instincts. Hexus's India team will join when Harvey opens its planned Bangalore office, creating a follow-the-sun build cycle.
Why this matters for in-house legal
Buying AI is easy. Getting busy lawyers to use it, trust it, and keep using it is the hard part. That's the gap Hexus closes-clear demos, crisp training, and documentation that removes friction.
Expect shorter proof-of-concept cycles, fewer adoption stalls, and more measurable usage in daily workflows. For legal ops, this translates to faster time-to-value and better internal ROI stories.
What Hexus actually adds
- High-quality demos that show real legal workflows end-to-end
- Scalable training videos and step-by-step guides for enterprise rollouts
- Engineers with deep enterprise software experience
- A global build model tied to Harvey's planned Bangalore hub
Hexus raised $1.6 million from Pear VC, Liquid 2 Ventures, and angel investors. Deal terms weren't disclosed; incentives are structured for long-term team retention, a clear signal that Harvey wants continuity, not just code.
The competitive context
Harvey is operating in a fierce market where traditional research platforms and AI-first newcomers are both pushing hard. The company now serves 1,000+ clients across 60 countries, including most of the top 10 U.S. law firms.
In 2025, Harvey's valuation jumped from $3 billion to $8 billion, including a $160 million round led by Andreessen Horowitz. New investors included T. Rowe Price and WndrCo; existing backers like Sequoia Capital, Kleiner Perkins, Conviction, and Elad Gil doubled down.
Origin story: from cold email to $8B
Harvey started with a cold email to Sam Altman on July 4, 2022. Co-founders Winston Weinberg (then a first-year associate at O'Melveny & Myers) and Gabe Pereyra (ex-Google DeepMind and Meta) tested GPT-3 on landlord-tenant questions from Reddit.
They showed responses to practicing attorneys. Two out of three said they would send 86 of 100 answers without edits. "That was the moment when we realized this entire industry could be transformed by this technology," Weinberg said. The first check came from the OpenAI Startup Fund, still Harvey's second-largest investor.
What this signals strategically
- Clearer demos for complex, multi-step legal workflows
- Faster training at scale for enterprise clients
- Deeper bench strength for in-house products
- Global engineering coverage with a Bangalore plan
- Sharper positioning against legacy research platforms and focused AI startups
Enterprise integration: the real blockers (and how this helps)
Real adoption stalls on three fronts: data security, workflow fit, and change resistance. Hexus helps Harvey show, not tell-how data is handled, where the tool sits in process, and what "good" looks like in daily work.
For large legal teams, expect better onboarding assets, clearer internal comms, and a smoother rollout path that reduces internal pushback.
Practical checklist for GCs and legal ops
- Data: Clarify storage, encryption, tenant isolation, and audit trails. Get it in writing.
- Models: Confirm sources, update cadence, prompt safeguards, and error handling.
- Workflows: Map intake, review, approval, and export. Avoid parallel shadow processes.
- Rollout: Pick 2-3 high-volume use cases. Set success criteria, owner, and timeline.
- Training: Schedule live sessions, publish short guides, and track completion.
- Controls: Define citation standards, redline rules, and final human review points.
- Metrics: Measure draft time saved, cycle reductions, and adoption by matter type.
If you're building internal upskilling for your team, see curated AI courses by job here.
Funding snapshot (2025)
- Series D: $300M led by Sequoia Capital at a $3B valuation
- Latest round: $160M led by Andreessen Horowitz at an $8B valuation
- Total 2025 funding: $760M
What to watch next
- Harvey's Bangalore office timing and hiring plan
- New in-house legal features that showcase Hexus-style demos and guides
- Packaging: Will training assets be bundled or priced separately?
- Moves from Thomson Reuters and LexisNexis as competitive pressure climbs
FAQs
Q1: What does Hexus bring to Harvey AI?
Tools for product demos, training videos, and step-by-step guides-plus engineers with enterprise software experience. This shortens onboarding and ramps adoption inside corporate legal.
Q2: How does this change the legal tech market?
It strengthens Harvey's position against traditional research platforms and AI-focused startups by improving user activation and training at scale.
Q3: What is Harvey AI's current valuation and funding?
$8 billion valuation in 2025 after raising $760 million across the year, including a $160 million round led by Andreessen Horowitz.
Q4: How many clients does Harvey serve?
More than 1,000 clients across 60 countries, including a majority of the top 10 U.S. law firms and many corporate legal departments.
Q5: What was Hexus's funding before the deal?
$1.6 million from Pear VC, Liquid 2 Ventures, and angel investors.
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