Matter & workflow mapping
Observe real legal work — intake, review, research, drafting, filing — and identify which steps are bounded enough for automation.
Evidence: Workflow map, data-classification record and automation boundary.
Legal technology & AI
Legal & AI advisory
Design and build governed AI for legal work — document intelligence, matter workflows and Astra integration builds — with the controls legal practice actually requires.
The operating problem
Legal work resists automation that cannot explain itself.
Contracts, matters, research and filings carry confidentiality obligations, evidentiary standards and professional judgment that generic automation ignores. We engineer AI into legal operations as a governed system: bounded tasks, source-grounded outputs, human review where consequence demands it, and an audit trail a supervising attorney or general counsel can defend.
Contract review, intake or research consumes specialist hours better spent on judgment.
A legal-AI tool was adopted before data-handling, privilege and confidentiality boundaries were settled.
Documents move between email, shared drives and matter systems without a reliable chain of custody.
Leadership wants AI capability but cannot yet answer who is accountable for its outputs.
Engineering position
What the work must protect
Ground every output
AI responses cite the source documents and versions they drew from; unsupported claims are surfaced, never smoothed over.
Protect privilege by design
Data boundaries, retention and access controls are engineered before any model touches client material.
Keep judgment human
AI drafts, retrieves and compares; accountable professionals decide, sign and file.
Delivery sequence
A controlled path from evidence to operation
Control design
Define confidentiality tiers, access rules, retention, review gates and the audit trail before any build begins.
Evidence: Control model and responsibility map.
Astra integration build
Build the bounded system — retrieval over the document corpus, clause extraction, drafting assistance or matter automation — integrated with the systems already in use.
Evidence: Working integration with source-grounded outputs and review workflow.
Supervised proving
Run real matters under supervision, measure accuracy, cycle time and exception rates, and tune review thresholds.
Evidence: Evaluation results, accuracy evidence and exception log.
Governed handover
Transfer ownership with documented controls, runbooks and an audit trail the legal team can operate independently.
Evidence: Runbook, governance record and operating measures.
Handover
What remains after the engagement
Governed AI system
A bounded build — document intelligence, drafting support or matter automation — with source grounding and human review built in.
Confidentiality & access model
Data tiers, privilege boundaries, retention rules and access controls engineered into the system.
Audit & provenance trail
Every AI output traceable to its sources, reviewer and decision, suitable for internal or external scrutiny.
Operating measures
Accuracy, cycle time, exception and review-workload measures with named owners.
Decision gate
Deploy to live matters only when accuracy meets the agreed threshold on real work, privilege boundaries are verified, and a named professional owns every output the system influences.
Discuss this workEngagement boundary
Know the shape before the work begins
A strong fit when
- A legal team or legal-operations function owns the workflow and can supply representative matters.
- Confidentiality, privilege and data-handling requirements can be stated explicitly.
- An accountable professional will review and stand behind assisted outputs.
Not included by default
- Legal advice, legal opinions or the practice of law — those remain with qualified counsel.
- Unsupervised AI decisions on filings, contracts or client communications.
- Claims of accuracy or time savings before measurement on your real matters.
Decision context
Questions leaders usually need answered
- What is an Astra integration build?
- It is our shaped delivery for connecting AI capability into an existing legal environment — document stores, matter systems and review workflows — under the governance model designed in the earlier stages.
- Does BELTO give legal advice?
- No. We engineer the systems legal professionals work in. Legal judgment, advice and filings remain with qualified counsel.
One-pager
Take this away as a PDF
Legal & AI advisory — BELTO one-pager
A single printable page covering what we do here, how engagements run and what to send us to start. Useful for forwarding internally.
PDF · 288 KB