Intake and conflict triage, document and contract processing, and matter and billing automation for law firms — every answer cites its source, every decision stays with a lawyer.
What we build
Every law-firm build ships against the same four constraints — no exceptions for demos or deadlines.
Retrieval runs over your data in your environment or a dedicated tenant. Nothing trains public models, and access is scoped to named engineers under NDA.
Proof layer The data map is a deliverable written for your ethics review.
We automate intake, documents, matters, and billing. We do not build tools that generate legal analysis a lawyer would rely on — that exclusion is deliberate.
Proof layer Scope boundary stated in the SOW, not discovered in production.
Retrieval over the firm's own document base returns the source alongside the answer, and anything client-facing routes through a human gate, every time.
Proof layer Escalation rules and transcripts reviewable by your managing partner.
A named senior lead owns the outcome. You see working software weekly, not a status deck monthly.
Proof layer Senior review on every merge; 30-day exit on embedded pods.
Qualification and conflict checks done manually against scattered records.
Triage with a human gate before client contact
The firm's own base is a folder tree nobody can query.
Retrieval over your documents, citing the source
Time entries reconstructed at month end from memory.
Time-entry hygiene and prebill flags
Use cases
Eight operations workflows where automation pays back first — each scoped, source-cited, and human-gated before it touches a client.
Qualification and conflict checks run against your records, with a human gate before any client contact.
Firms where partners screen intakeSearch over the firm's own document base in plain language — every answer cites the source file.
Firms with an unsearchable folder treeUpload, extraction, clause splitting, and playbook-driven risk flags — with lawyer sign-off on every document.
Teams buried in NDA and routine reviewCalls answered, qualified, and logged around the clock — anything substantive escalates to a person.
Firms missing after-hours leadsDeadlines, tasks, and status updates wired into your practice management system instead of a partner's inbox.
Firms tracking matters by memoryDraft entries captured as work happens, so month-end reconstruction stops being archaeology.
Firms leaking billable hoursPrebills scanned for missing entries, write-down patterns, and policy exceptions before they reach a partner.
Billing teams doing manual reviewHours recovered, matters touched, and exceptions escalated on one monthly report partners actually read.
Managing partners flying blind on opsCase studies
How our teams remove operations bottlenecks — document processing, cited retrieval, and intake automation — through strategy, engineering, and innovation.
AI-driven ingestion, clause splitting, and playbook-based risk flags removed first-pass review bottlenecks while keeping lawyer sign-off in the loop.
Read story
A knowledge assistant with inline citations and row-level security — every answer traceable to its source, scoped to what each user is authorized to see.
Read story
OCR-driven application processing turned inbound document piles into structured, reviewable records without manual keying.
Read story
A RAG-powered voice agent answers questions, checks availability, and books appointments end-to-end — the intake pattern we adapt for firms.
Read storyCapabilities
Six connected capabilities, delivered as one seamless service.
See full capability matrix →A build decision in 2 weeks, not a slide deck.
Agents with evaluations, approval gates, cost ceilings, and a full audit trail.
A named senior engineer inside your team, owning an outcome.
Specification first, AI-assisted, senior review on every merge.
Workflows wired and instrumented, with the payback counted.
Pipelines and lineage your AI can actually rely on.
FAQ
Straight answers before the first call. If yours is not here, ask it on the call — we answer the hard ones first.
Ask the hard oneRetrieval over your data in your environment or a dedicated tenant. Nothing trains public models. The data map is a deliverable written for your ethics review.
Clio-class and Litify-class via API. Legacy systems get a connector.
A monthly report: hours recovered, matters touched, exceptions escalated.
Because leading legal-research AI still hallucinates at rates no firm should accept, and generated analysis a lawyer relies on is a liability, not a product. We automate operations — intake, documents, matters, billing — and state that exclusion in the SOW.
We have a voice intake build for a US professional-services firm and document pipeline and retrieval infrastructure across client work. We have no law-firm past performance to present and we are not going to imply otherwise.
Start the conversation
Tell us where intake, retrieval, or billing costs the firm the most partner time. We will map what we build — and tell you plainly what we do not.
