AI for law firms that need citeable, auditable outputs.
Legal AI a partner, compliance officer, or client can trust: citations on every answer, human approval on every client-facing output, and evaluation gates before anything touches real matters.
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AI Readiness Assessment
Scoped for legal operations.
$5,000
10 business days · Fixed scope
The standard Readiness Assessment scoped for legal operations: identifies high-value workflows, scores your data readiness, and produces a prioritized opportunity register with ROI estimates, yours to keep either way.
Use cases for legal and legal operations teams
Each maps to a standard service line. The assessment tells you which combination fits your firm, and in what order.
Contract review and extraction
Ingest contracts, identify key clauses, flag deviations from standard terms, and extract structured fields. RAG-backed assistant with citations, every answer traces back to the source document.
Delivered via: Document Intelligence Pilot
Legal research assistance
Search across case law, regulations, internal precedents, and matter files. Cited answers with source attribution so a lawyer can verify every claim before it goes to a client or a court.
Delivered via: Document Intelligence Pilot
Matter summarisation and briefing
Generate executive-level matter summaries, hearing preparation briefs, and client status reports from structured and document data. Every recommendation is traceable to the source.
Delivered via: Decision Support Pilot
Client intake and matter opening
Structured intake from inbound calls and web forms, extract matter type, conflict fields, urgency, and billing data. Auto-create matters in your practice management system with human review.
Delivered via: Voice Intake Pilot or Workflow Automation Pilot
Compliance document processing
Process regulatory filings, disclosure requirements, and compliance reports. Evaluation gates check that outputs meet the acceptance bar before anything reaches a client or regulator.
Delivered via: Document Intelligence Pilot
Multi-step matter workflows
Automate repeating matter workflows, deadline tracking, document routing, approval chains, billing event creation, with human approval gates at every high-stakes step.
Delivered via: Workflow Automation Pilot
Governance controls on every legal engagement
Legal AI fails when outputs can’t be verified, attributed, or defended. These ship as platform-layer enforcement, not prompt-layer suggestions that can be overridden.
eval:
dataset: northwind-golden-v3
faithfulness_threshold: 0.90
hallucination_max: 0.02
human_review_gate: required
citation_coverage_min: 0.90
governance:
prompt_versioning: enabled
loop_max_iterations: 12
cost_budget_usd: 50
audit_trail: required
Citations on every output
Every answer from a legal research or document intelligence system cites the source document and passage. No answer-only black boxes. Every claim is verifiable by the lawyer reviewing the output.
Human approval on client-facing outputs
Any output that could reach a client, summaries, briefs, advice drafts, requires explicit human review and approval before delivery. Nothing is auto-sent.
Prompt versioning and audit trail
All system prompts are versioned and tied to model outputs in logs. Every model invocation writes an audit event with timing, model, token count, and output hash.
Privilege and sensitivity controls
Knowledge bases are scoped per matter and per client. Attorney-client privileged materials are isolated at the retrieval layer, not just filtered at the prompt layer where they can leak.
Evaluation gates before production
Every pilot runs against a domain-specific golden dataset before it touches real matters. Faithfulness, citation coverage, and hallucination rate must meet written thresholds.
Conflict and PII awareness
Intake workflows screen for conflict triggers before matter opening. PII redaction is configurable per engagement and logged per record.
Already tried an AI pilot that didn't ship?
Most legal AI pilots fail because the acceptance bar was never written down and the eval set was thin or absent. The Readiness Assessment diagnoses the root cause and produces a scoped remediation plan, so the next attempt starts with a baseline, not a demo.
Talk to us about a stalled pilot →Next step
Start with the AI Readiness Assessment
10 business days, $5,000, fixed scope. Scorecard across 7 readiness dimensions (data, workflows, risk, talent, governance, infrastructure, sponsorship), with a prioritized roadmap you own.