Case Management

Litigaze

Est. 2021 Australia Updated 2026-03-19
Unverified by r/legaltech members — this page is based on publicly available information, not hands-on testing or practitioner feedback. Verify your experience with Litigaze

AI-enhanced litigation case management and analysis platform with two product tracks: (1) spreadsheet-style case management with smart tables, fact extraction, document annotations, and AI insights; (2) case outcome visualization and decision tree analysis for litigation risk assessment. Founded by IP lawyer Len Hickey. Used by Osler (major Canadian law firm) for decision analysis (per Lexpert, Nov 2022). Hosted on AWS. Per-case pricing with free and paid tiers. Covered by Artificial Lawyer (walk-through, May 2025), LegalTech Hub (product briefing), and LawNext directory. Also described by McGonigle Law as using AI to predict outcomes. ~112 LinkedIn followers. No Reddit. No G2 reviews.

Capabilities

Spans 2 product areas: Case Management, Compliance and Risk Management.

Workflow Coverage

Based on published feature listings, this tool maps to 2 workflow areas:

  • Client & Matter Lifecycle
  • Filing & Compliance

Workflow mappings derived from published feature lists. Not independently verified.

Company Info

  • Founded: 2021
  • Team size: 1-10 employees
  • HQ: Australia
  • Sector: Litigation, Governance/Compliance/Risk Management

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.

Workflows

Based on practitioner evidence, Litigaze is used in these workflows:

What practitioners struggle with

Real frustrations from legal professionals — the problems Litigaze addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.

Litigation team building a case chronology across 50,000 documents, 30 depositions, and hundreds of exhibits does it in Excel or Word — no single platform connects facts, people, events, and evidence into a searchable timeline, so critical connections between a witness statement and a document are missed

Document Review & Management 23 vendors affected Large firm (51–200) · Solo practitioner · Small firm (2–10) · Mid-size firm (11–50)

Litigation attorney drafting a motion for summary judgment needs to link every factual assertion to the specific page in the deposition transcript or exhibit that supports it — manually cross-referencing 3,000 pages of discovery against 30 pages of brief takes two full days, and a single unsupported factual statement gives opposing counsel ammunition to strike

Document Drafting & Automation 11 vendors affected Solo practitioner · Small firm (2–10) · Mid-size firm (11–50) · Large firm (51–200)

Litigation paralegal gets a 500-page case file and needs to build a chronology for trial prep — reading every document, extracting dates and facts, and organizing them into a timeline takes 3 days of manual work that could be spent on actual case strategy

Document Review & Management 8 vendors affected junior-assoc · Paralegal · senior-assoc · Small firm (2–10)

Plaintiff lawyer is about to send a demand letter or walk into mediation with a case that could be worth far more than the insurer's first offer, but they're still guessing which facts, videos, and witness moments actually make jurors or mediators care — traditional focus groups take too long, cost too much, and one loud participant can distort the whole read on case value.

Research & Analysis 11 vendors affected Small firm (2–10) · Mid-size firm (11–50) · Large firm (51–200)

Solo or small-firm litigator preparing for trial can't afford CaseMap's per-seat licensing and doesn't want a desktop-only tool — but the only alternatives are generic case management platforms that treat timeline building as an afterthought, not the core workflow

Document Review & Management 4 vendors affected Solo practitioner · small-firm

Where it fits in your workflow

Community Data

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