AI by Industry
AI for Legal
Improve document search and reduce manual review work with grounded, citation-ready assistants and validation-first pipelines.
Industry Problems
Where teams get stuck
Common bottlenecks we see before AI workflows are implemented.
Time-consuming doc review
Contracts and legal docs require careful reading; manual review is slow and hard to scale.
Search limitations
Keyword search struggles with intent and context across long documents and clause variations.
Risk of incorrect answers
Legal workflows need citations, validation, and safer fallbacks to reduce risk.
Access and audit needs
Sensitive documents require access-aware patterns and audit-friendly engineering practices.
AI Solutions
What we build
Implementation-ready modules designed for reliability, safety, and real operations.
Citation-ready doc assistant
RAG with citations and eval sets so answers are grounded and measurable.
Document extraction + validation
Schema-based extraction with validation rules and review hooks for structured outputs.
Hybrid search upgrades
Hybrid retrieval + reranking tuned on eval sets to improve clause and concept discovery.
Guardrails and safety controls
PII-aware patterns, validation, and controlled escalation behaviors for sensitive workflows.
Stack
Suggested implementation stack
A practical stack we can adapt to your constraints and existing systems.
Automations
Example automations
A few workflows that usually deliver ROI quickly.
Search and Q&A across contract libraries with citations
Extract structured clause fields into review workflows
Improve retrieval quality with reranking and evals
Review queues and approvals for high-risk outputs
Monitoring quality drift and failure patterns
Start Small
Start small in 7 days
Three pilot-friendly options that reduce risk and ship value fast. Choose one, share access, and we deliver a production-ready baseline.
Standard
AI delivery standard
Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.
Logging + tracing
Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.
Guardrails + safety
Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.
Evals + regression tests
Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.
Cost + latency controls
Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.
Documentation + handoff
Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.
Security-first integration
Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.
Relevant Gigs
Start with a fixed-scope gig
Pick a gig to launch a pilot quickly with clear deliverables and timeline.
Compare
Decision guides
Quick comparisons to help you choose the right approach before building.
Related Services
Explore deeper implementations
When you need more depth than a pilot, these services cover full delivery.
FAQ
Frequently asked questions
Do you provide legal advice?
No. We build software systems. We design assistants to cite sources and use safer fallbacks, but legal decisions remain with your team.
Can we require citations for every answer?
Yes. We can enforce citation-ready answer patterns and fallback behavior when sources are insufficient.
Can this work with sensitive documents?
Yes. We design access-aware patterns and audit-friendly logs. Exact handling depends on your security and hosting requirements.
How do you measure accuracy?
We build eval sets and regression checks based on real queries so improvements are measurable and predictable.
Want an AI pilot for your workflow?
Start with a fixed-scope gig or request a tailored implementation plan for your systems.