Meaning is contextual
A clause or authority changes significance based on definitions, governing law, transaction structure, and surrounding language.
Matter file
Find the clause, evidence, and obligation that matters.
We build legal AI that organizes large document sets, retrieves authority and precedent, and prepares reviewable work product with citations—keeping lawyers accountable for legal conclusions.
Discuss a real use caseLive product model
01
Document
02
Clause
03
Playbook
04
Lawyer review
05
Obligation
Where the work breaks
Legal work depends on authority, jurisdiction, effective dates, document versions, privilege, and precise language. AI is useful when it makes those dependencies more visible, not when it hides them behind fluent prose.
Privilege and confidentiality
Matter boundaries, ethical walls, retention rules, and vendor access must survive every retrieval and generation step.
Citation responsibility
Generated analysis needs verifiable sources, valid quotations, currency checks, and qualified legal review.
Systems we can build
Legal products that preserve the source.
Drafts and answers remain tied to clauses, evidence, dates, and authority so lawyers can verify the work instead of trusting a fluent black box.
PRODUCT 01
Contract review and playbooks
Extract clauses, compare them with approved positions, identify linked definitions, and draft issue lists with exact document references.
DeliversSource-linked deviation and obligation matrix
PRODUCT 02
Legal research assistant
Decompose the question, retrieve approved legal sources, rank authority, and produce a cited research draft for lawyer verification.
DeliversTraceable research memorandum draft
PRODUCT 03
Matter intake and triage
Collect facts, run conflict inputs, classify the request, identify deadlines, and route it to the appropriate team.
DeliversStructured matter brief and routing
PRODUCT 04
Discovery and document intelligence
Classify, cluster, search, summarize, and chronologize document populations while preserving metadata and review decisions.
DeliversPrioritized review set and evidence timeline
Product spotlight
A contract intelligence workspace, not a clause counter
Compare language to the approved playbook, expose deviations, propose fallback text, and track obligations after signature with the original clause always visible.
Contracts and exhibitsClause playbooksMatter context
Decision workspace
1DocumentReady
2ClauseReady
3PlaybookReady
4Lawyer reviewReview
Who it serves
Products shaped by legal responsibility.
In-house counsel
Portfolio visibility and faster review against approved positions.
Law firms
Matter-grounded research, chronology, and evidence retrieval.
Contract teams
Triage, redlines, fallback language, and obligation capture.
Business users
Safe self-service with clear escalation boundaries.
Existing ecosystem
Connect DMS, CLM, matter, research, and e-signature systems.
We preserve systems of record and add a permissioned product layer for retrieval, orchestration, review, and action.
01Document management
02Contract lifecycle management
03Matter and case systems
04Knowledge repositories
05E-discovery platforms
06Identity, ethical wall, and billing systems
Product safeguards
Controls designed for legal work.
01
Privilege boundaries
Enforce matter-scoped access, ethical walls, approved processing locations, and retention policies.
02
Citation verification
Check existence, currency, jurisdiction, quoted language, and pinpoint references before reliance.
03
No silent authority
Clearly label extracted text, retrieved sources, generated reasoning, and professional conclusions.
04
Professional review
Require qualified sign-off for legal advice, filings, negotiations, and client-facing work product.
What improves
Measured in the operation.
01RetrievalRelevant authority or clause found in the reviewed set
02Citation qualityValid, current, correctly characterized references
03Review effortProfessional time to reach approved work product
04CoverageMaterial issues found versus the expert benchmark
05ConsistencyPlaybook positions applied uniformly across reviewers
06ConfidentialityUnauthorized retrieval attempts and boundary violations
Before you build
Privilege, confidentiality, accuracy, and adoption questions.
Can legal AI replace lawyer review?+
It should not be represented that way. The systems we build prepare, retrieve, compare, and draft; qualified professionals remain responsible for legal analysis, advice, and final work product.
How do you reduce hallucinated citations?+
We restrict retrieval to approved sources, require citation identifiers and excerpts, validate references programmatically where possible, and make source verification part of the review interface.
Can confidential documents be kept in our environment?+
Yes. Deployment, processing, storage, key management, and model choices can be designed around your security and client commitments, including private or region-specific environments.
Where should a legal team begin?+
Start with a repeatable document or research workflow that has an existing playbook and review standard, such as clause deviation review, obligation extraction, or matter intake.
Bring us the hard part