Case Study · AI in Legal

AI Document Review and Knowledge Management for Legal Services

An AI legal document processing and knowledge management platform. Lawyers upload and analyse documents, search past matters in plain English and get structured summaries, with references to the source documents so every answer can be checked.

AI Document ProcessingKnowledge ManagementWorkflow Automation
  • Perth Based. Australia Wide.
  • 18+ Years in Custom Software
  • Fixed-Price Delivery
  • Full Code Ownership
Australian owned and operated

Built here. Your data stays here.

  • No offshore development. Everything is written by our own team in Australia. Nothing is subcontracted overseas.
  • Your data stays onshore. Hosted in Australia, on infrastructure you own, under Australian law.
  • Every state, not just ours. Perth, Melbourne, Sydney, Brisbane, Adelaide and everywhere between.
Summary

At a glance

Client
Legal team: contracts, agreements, correspondence and matter files
Industry
AI in Legal
The problem
Reviewing documents by hand was time-consuming, particularly when identifying contractual obligations, comparing clauses and researching information from previous matters.
What we built
An AI legal document processing and knowledge management platform, developed to work alongside the existing systems.
Systems and technology
Generative AI, Retrieval-augmented generation (RAG), Document AI, Microsoft 365, SharePoint
Results
  • Faster Document review: AI identifies relevant clauses, obligations, dates and potential inconsistencies, reducing manual review effort.
  • Better research Natural-language search makes it easier to retrieve information from previous matters, agreements and internal knowledge.
  • Less admin Automated summarisation, document classification and drafting support reduce repetitive tasks.
  • Consistent Standardised review workflows, document references and human approval controls support more consistent legal work.
Client Context

Legal team: contracts, agreements, correspondence and matter files

A legal team managing significant volumes of contracts, agreements, correspondence and case-related documents.

Its information was spread across document management systems, shared folders and email, which made relevant material hard to locate quickly.

The Challenge

What needed to change

Reviewing documents by hand was time-consuming, particularly when identifying contractual obligations, comparing clauses and researching information from previous matters.

Finding the right material meant searching several places: the document management system, shared folders and email.

The Solution

What we built

An AI legal document processing and knowledge management platform, developed to work alongside the existing systems. Retrieval-augmented generation (RAG) answers from authorised source documents, with references that let lawyers verify the underlying information.

Document upload and analysis

Legal professionals upload documents and have them analysed, with important clauses identified and structured summaries generated.

Search across past matters

Natural-language search across internal knowledge, previous matters and agreements.

Answers with references

Responses come from authorised source documents, with references so a lawyer can verify the underlying information.

Clause comparison

Clauses compared across documents, with obligations, dates and potential inconsistencies identified.

Document classification

Automated classification of incoming and stored documents.

Drafting assistance

Drafting support for legal documents and correspondence, with human approval controls.

Built with:
Generative AIRetrieval-augmented generation (RAG)Document AIMicrosoft 365SharePoint
In Practice

How it works

1

Documents come in

Documents are uploaded, or read from the document management system and Microsoft 365, where they already sit.

2

AI analyses them

Clauses, obligations, dates and potential inconsistencies are identified, and the document is classified.

3

A lawyer asks a question

Staff search past matters, agreements and internal knowledge in plain English.

4

Answers cite their sources

Each answer and summary references the authorised documents it came from.

5

People approve

Standardised review workflows and human approval controls keep the legal judgement with the lawyer.

Results

What changed

Faster Document review: AI identifies relevant clauses, obligations, dates and potential inconsistencies, reducing manual review effort.
Better research Natural-language search makes it easier to retrieve information from previous matters, agreements and internal knowledge.
Less admin Automated summarisation, document classification and drafting support reduce repetitive tasks.
Consistent Standardised review workflows, document references and human approval controls support more consistent legal work.
Similar Project?

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Prefer a quick chat? Call 0425 531 127. We answer the phone in Perth.

Kasun Wijayamanna, founder of HELLO PEOPLE

Kasun Wijayamanna, founderYou deal with Kasun from scope to delivery. No account managers and no offshore handoff.