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Mary Technology Unveils Fact Management Platform Upgrade With Chronologies and Financial Tools

By Artūras Malašauskas May 09, 2026 4 min read Share:
Sydney-based legal tech startup Mary Technology has expanded its Fact Management System with three new capabilities targeting litigation and family law workflows.

Sydney-based legal tech startup Mary Technology has released a significant update to its Fact Management System (FMS), adding three new capabilities that shift the platform from a document verification layer into what the company describes as a collaborative, end-to-end workflow tool for legal teams.

The update introduces Custom Chronologies, Financial Analysis and Template-Based Drafting, targeting litigation teams, family lawyers and personal injury and insurance firms. This isn't just another AI wrapper slapped onto existing workflows (a problem that has plagued users for years, frankly).

Mary Technology has built its platform around the concept of extracting facts from documents and making them traceable and verifiable. The new release builds on that foundation by turning the fact record into something lawyers can actively work with during case preparation. According to the company's official website, the system converts unstructured, messy, and even handwritten documents into a structured, searchable, and verified fact record.

Custom Chronologies extends the platform beyond a fact repository into an iterative workspace. Lawyers can build customised, issue-specific chronologies at a document or fact level, scoped to the exact documents, issues, parties and dates relevant to a matter, through a planning dialogue with the platform. Each chronology includes a details tab with a summary and annotations that flag contradictions, corroborations, allegations, gaps and low-confidence handwritten documents.

The platform also flags privileged communications and surfaces which documents were used to build a chronology, as well as which were excluded and why. Mary Technology positioned this as giving lawyers confidence that every relevant document has been reviewed. The physical reality here matters: instead of scrolling through thousands of PDF pages, lawyers see a structured timeline with source citations they can click through.

The Bank Statement Analysis tool is aimed squarely at family lawyers. The company indicated that family lawyers currently spend upwards of 10 hours manually organising financial disclosure and indexing bank statements as part of the property division process. The tool automates that work by categorising transactions, tracing funds and flagging anomalies such as hidden transfers and gambling activity.

It produces a court-ready index in minutes, with every transaction traceable to its source document. Mary Technology framed the feature as having applications at both ends of the client spectrum \u2013 making deep financial analysis accessible to clients who otherwise could not afford it, while also cutting through complex company structures and hidden assets in higher-value matters.

Template-Based Drafting converts Mary\u2019s verified fact base into structured, firm-specific deliverables including memos, letters, gap analyses and forms. All output is grounded on uploaded evidence rather than generated from the AI model\u2019s training data. The company described the feature as built for firms that handle volume at scale, standardising output without losing detail.

Daniel Lord-Doyle, Co-Founder and CEO of Mary Technology, described the release as a step beyond the platform\u2019s existing verification capabilities. \u201cLawyers need more than just faster output. They need a work product grounded in an understanding of the matter,\u201d Lord-Doyle explained. \u201cThis release expands on our verification experience and makes our defensible fact records something lawyers can actively work with, not just reference.\u201d

The update arrives as AI adoption grows across the legal sector, but concerns persist about accuracy and the risk of AI-generated content that fabricates information \u2013 a particular liability in legal contexts where every claim must be traceable to evidence. Mary Technology\u2019s approach embeds source-grounded information directly into how cases are built and managed, rather than relying on general-purpose AI models to generate legal content from scratch.

Independent reporting from SMBtech corroborates the scope and timing of the platform update. The company has built its platform around the principle that every output should be verifiable against the underlying documents.

Mary Technology, founded in Sydney in 2023, recently closed a A$7 million seed round led by OIF Ventures. The company says it will use the funding to deepen its U.S. presence and extend access to its platform beyond the large enterprise firms it has primarily served. It reports having more than 2,000 lawyers globally using the platform, and 10x ARR growth in 2025.

The problem Mary is tackling sits in a gap that has long existed in litigation technology. E-discovery platforms like Relativity have done a remarkable job of reducing massive document sets \u2014 millions of pages down to tens of thousands. But from that point forward, the work of actually understanding what those documents say, extracting the relevant facts, and building a verified factual picture of a case has remained largely manual.

Whether law firms actually adopt this workflow at scale, or whether they'll continue relying on familiar but inefficient manual processes, remains the real question. The technology exists. The market's willingness to change is another matter entirely.

Arturas Malas Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn
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