Tinkerberry Labs
AI automation for legal

Billable hours back, without touching legal judgement.

Associates burn nights on document review, intake notes and status emails that no client wants to pay for.

Boutique and mid-size firmsIn-house legal teamsConveyancing and immigration practicesCompliance functions

60-80%

faster first-pass document review

100%

of intake captured in structured form

0

unreviewed output reaching a client

8

documented automations for this sector

The automations

Where legal teams lose hours, and what replaces it.

Each one is a system we have specified and built before.

01

Contract review against your playbook

The manual process today
Every contract is read clause by clause, and standards drift between reviewers.
What we build
Clause extraction and comparison against your fallback positions, with deviations, missing clauses and risk ranking presented for a lawyer to accept or reject.
Typical impact
First-pass review time cut by 60-80% with a consistent standard.
Document AIClause playbookWord / iManage integration
02

Client intake and conflict pre-check

The manual process today
Intake calls become unstructured notes that someone retypes into the matter system.
What we build
A guided intake agent that captures the facts, runs a conflicts pre-check against your database and drafts the engagement letter.
Typical impact
Matters opened same-day; no lost intake detail.
Intake forms / voicePractice management APITemplate generation
03

Discovery and disclosure triage

The manual process today
Tens of thousands of documents reviewed for relevance and privilege by hand.
What we build
Relevance and privilege classification with confidence scores, prioritised review queues and full audit trail of every call.
Typical impact
Review hours concentrated on the 10% of documents that matter.
eDiscovery platformClassification modelsAudit logging
04

Legal research memo drafting

The manual process today
Research memos start from a blank page every time.
What we build
A grounded research assistant that pulls from your own precedent bank and approved sources, drafts a memo and cites every proposition.
Typical impact
Memos drafted in an hour instead of a day, then verified by a lawyer.
Precedent RAGCitation enforcementReviewer workflow
05

Matter status and client updates

The manual process today
Clients chase for updates; partners write the same email fifty times.
What we build
Automated matter-status summaries generated from time entries, filings and emails, sent on a schedule after a partner approves.
Typical impact
Client satisfaction up, chasing emails gone.
Practice managementSummarisationApproval queue
06

Time-entry reconstruction

The manual process today
Unbilled work is lost because nobody logs time as they go.
What we build
Draft time entries reconstructed from calendar, email and document activity, presented for edit and approval.
Typical impact
Recovered billable hours that were previously written off.
Calendar / mail APIsNarrative generationBilling system
07

Compliance and regulatory change watch

The manual process today
Regulatory updates are tracked manually across many sources.
What we build
Continuous monitoring of relevant regulators, with change summaries mapped to the internal policies each change affects.
Typical impact
Nothing missed; impact analysis starts pre-written.
Source monitoringPolicy mappingDigest delivery
08

Knowledge assistant over the firm's own work

The manual process today
The best precedent already exists somewhere in the DMS and nobody can find it.
What we build
A search and answer layer over your document management system, respecting matter-level permissions.
Typical impact
Precedent found in seconds; juniors ramp far faster.
DMS integrationPermission-aware retrievalCitations
Questions

What legal teams ask us.

We deploy with zero-retention model endpoints, keep documents in your tenancy, enforce matter-level permissions in retrieval, and log every query. No client data is used to train models.

You are, and we build for that: every legal-facing output is a draft with citations, routed to a qualified reviewer before it leaves the firm.

Audits are a fixed fee and are credited against a build. Single-workflow builds typically land in the low five figures, multi-workflow programmes higher, and ongoing running and support is a fixed monthly fee. You get the number before we start, not a rolling hourly bill.

A first pilot on your real data usually runs within two to four weeks of the kickoff call. Full deployment with integrations and training normally lands between weeks four and eight.

Your automation plan

Tell us what your legal team keeps doing by hand.

Thirty minutes, no pitch deck. We map the process, tell you whether automation pays back, and give you a rough cost before you commit to anything.

You and the work

Two more short steps sharpen the answer. An engineer reads it either way and replies, usually within a business day.

Other sectors

Automations for adjacent industries.