Legal Services

AI workflows for legal practices.

Accelerate document-heavy work, matter preparation and internal knowledge retrieval, without removing the professional review that the work demands.

The problem

Where time and value are being lost.

Document-heavy preparation

Reviewing correspondence, extracting key dates and assembling chronologies absorbs significant fee-earner time.

Scattered precedent

Useful precedents, prior advice and template letters live across individuals, folders and matter files.

Client intake friction

Intake requires repeated information gathering and structuring before substantive work can start.

Relevant workflows

What we typically build first.

Workflow 01

Client intake assistant

Input
Intake forms and initial correspondence
Output
Structured matter summary and missing-information list
Value
Faster start to fee-earning work
Workflow 02

Matter summaries

Input
Correspondence, contracts and notes for a matter
Output
Concise structured summary with key issues and gaps
Value
Faster preparation and review
Workflow 03

Initial chronologies

Input
Dated documents and email threads
Output
Draft chronology referenced back to source documents
Value
Material time saved on preparation
Workflow 04

Draft correspondence

Input
Matter context and instruction
Output
Draft client or counterparty letter for solicitor review
Value
Faster response and clearer communication
Workflow 05

Document review support

Input
Document set and review criteria
Output
Flagged passages, summary and review prompts
Value
More consistent review at speed
Workflow 06

Precedent search

Input
Approved internal precedents and templates
Output
Searchable answers linked to source documents
Value
Less repeated internal work
Worked example

Intake notes and dated correspondence into a matter pack.

Drafted with AI assistance. Awaiting professional review. Nothing is sent automatically.

Before
New matter intake - commercial dispute Client emails (5 threads, 2023-2025) Old contract, two side letters Counterparty letter Mar 2025 Internal note re without prejudice call
After · Horizon AI draft
Matter summary

Commercial dispute under a long-running services contract, with two side letters that materially affect termination provisions.

Initial chronology

Contract execution, side letter variations, performance issues, internal without-prejudice call and the most recent counterparty letter, sequenced and referenced.

Missing information

Signed version of the second side letter, full email thread from the operations contact, and any internal escalation records.

Draft client follow-up

Confirms documents reviewed, lists the gaps for the client and proposes a short call. Drafted for solicitor review.

Governance

Designed so professionals stay in control.

  • Solicitor review on every client-facing or counterparty-facing output.
  • Confidentiality and access controls scoped before any matter data is used.
  • Approved internal precedents rather than open-web AI for substantive legal questions.
  • Clear separation between business workflow design and any regulated legal advice.
HUMANin the loopClient / project contextAI-assisted workflowProfessional reviewApproved outputClient / firm record
External signal

Relevant context for legal services.

Law Society guidance

The Law Society of Ireland has published practical guidance for solicitors on using generative AI responsibly, including supervision, accuracy and client confidentiality.

Source: Law Society of Ireland
EU AI Act

The EU AI Act is being phased in from 2025, with transparency and human oversight requirements relevant to professional firms using AI in client work.

Source: European Commission
Implementation gap

The competitive advantage will come from redesigning the work around AI, not from purchasing licences alone, particularly in document-heavy practices.

Source: Industry observation
Get started

Test one workflow that matters to your firm.

We will reply personally to determine whether there is a suitable, measurable pilot opportunity.

Pilot application

Tell us about the work you want to improve.

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