AI Development · for Legal-tech

AI Development for
Legal-tech.

Legal-tech is the most citation-hungry vertical in AI. Every output must trace back to a source — or it's worse than useless. Vedwix builds ai development for Legal-tech companies — with the compliance posture, KPI awareness, and operational shape your category demands.

Brief us on AI work
ServiceAI Development
IndustryLegal-tech
Typical scope6–14 weeks
EngagementFixed-fee
Industry context · 01

What we know about Legal-tech.

Compliance
  • SOC 2
  • GDPR
  • attorney-client privilege
  • Model risk policies
KPIs you actually move
  • Time to draft
  • Lawyer hours saved
  • Citation accuracy
Common pains
  • Hallucinations are career-ending
  • Slow procurement at firms
  • Lawyers don't accept "trust me" — they need traceability
AI Development for legal · 02

Three use cases we ship.

Use case 01

Contract review with redlines

We build AI features that ship to real users — not demos. For legal, that means designing for SOC 2, measuring against Time to draft, and avoiding the hallucinations are career-ending that plague the category.

Use case 02

Case-law retrieval with citations

We build AI features that ship to real users — not demos. For legal, that means designing for SOC 2, measuring against Time to draft, and avoiding the hallucinations are career-ending that plague the category.

Use case 03

Discovery summarization

We build AI features that ship to real users — not demos. For legal, that means designing for SOC 2, measuring against Time to draft, and avoiding the hallucinations are career-ending that plague the category.

Legal-tech team? Brief us.

AI Development,
legal-aware.

We don't pretend every project is the same. Legal-tech has its own compliance, KPIs, and unwritten rules. We bring those in from day one.

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Deliverables · 03

What you get.

  • RAG system with hybrid search
  • Eval harness + observability
  • Agent orchestration
  • Fine-tuning + serving
  • Internal AI tooling

We build AI features that ship to real users — not demos. RAG systems with hybrid retrieval, agents with structured outputs, fine-tuned small models, and eval harnesses that measure quality before and after every change.

Examples of Legal-tech companies in this space: Harvey, Spellbook, Lex Machina.

Need ai development
for your legal company?

Tell us about it in three sentences or fewer. We'll reply within two business days.

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