Matters, precedents and contracts brought into one governed knowledge base your AI and your lawyers draw from alike.
- Matter and precedent data integration
- Governed, retrieval-ready knowledge modeling
- Access control and audit readiness
Contracts and diligence documents extracted, compared and summarized at scale, with lawyers reviewing instead of reading everything.
- Clause and obligation extraction at scale
- Cross-document comparison and summarization
- Review workflows with lawyer sign-off
Research assistants grounded in your sources, with every answer traced to the authority it came from.
- RAG over statutes, cases and internal sources
- Hybrid search, semantic plus keyword
- Cited, reference-backed responses by default
Contracts, SLAs and One governed home for the rules that apply to you, with change detected and its impact surfaced before deadlines.
- Rules library architecture, structured plus vector
- Change tracking across regulatory sources
- Impact mapping and alerts before deadlines
First drafts generated from your templates and precedents, moving to a lawyer for every judgment call.
- Template and precedent grounded drafting
- Clause suggestions with source references
- Lawyer review on every output
GenAI legal products engineered to production grade: hybrid search, conversational AI and platforms built to scale.
- GenAI and conversational AI product builds
- Hybrid search architecture
- Scalable platform management
LegalTech · GenAI · LegalTech Discovery Platform
The Challenge
- A legal technology landscape hard to navigate
- Solution discovery buried in scattered sources
- Generic search returning noise instead of insight
Our Approach
- Intelligent hybrid search across the solution landscape
- Conversational AI guiding discovery
- Scalable platform management underneath
Outcomes
Regulatory Intelligence · Delivered for a Compliance Leader · Rules Library and Reg-Change Tracking
The Challenge
- No internal store of federal and state rules
- Regulatory change tracked manually, after the fact
- Costly reliance on third-party software
Our Approach
- A canonical rules library, structured plus vector
- 100+ sources tracked, changes diffed and versioned
- Impact mapped with alerts before deadlines
Outcomes
Research AI· Delivered in Pharma · Intelligent Research Assistant
The Challenge
- Massive specialist literature across sources
- Time-consuming manual research across resources
- Regulatory grade content required
- Limited traceability and explainability
Our Approach
- Intelligent processing with OCR, parsing and summarization
- RAG with vector and semantic search
- A domain-tuned LLM for specialist language
- Agent orchestration across research sources
Outcomes
Production-Grade Delivery
Human in the Loop, Always
Provenance as a Design Input
Production, Not Pilots
Discover
Design
Build
Run & Scale
No. These are research, drafting and review tools for qualified lawyers: a lawyer reviews every output and owns every judgment.
Matter data stays in your environment under your access controls, with ethical walls and audit trails designed into the architecture.
Only when it cites, which is why ours does: every answer traces to the authority it came from, so verification takes a click instead of a search.
Grounded retrieval: the system answers from your sources and shows them, and outputs are continuously evaluated for faithfulness to those sources.
Yes. Drafting is grounded in your own templates and precedents, so first drafts start from how your firm actually writes.
