Data & Analytics for In-House Legal Teams: Live Demo + Q&A

Date: Thursday 3rd September 2026
Time: 12:00 PM AEST

A 30-minute walkthrough of how Xakia turns raw matter data into reporting a board can actually read.

Most legal teams can tell you they're busy. Very few can tell you where the time goes or what any of it costs. Fewer still could name the firm quietly eating the largest share of the budget. The reporting usually exists, but it lives in a spreadsheet somebody rebuilds by hand before every board meeting.

This session is a live walkthrough of Xakia's Data & Analytics. Xakia will open the dashboards that come with every account, drill into them, and build a report from scratch on the call so attendees can see how long it actually takes. Bring questions.

What the session covers:

• Dashboards that are live the day a team signs up, populated from matter data the team is already entering

• Capacity Dashboard: who on the team is at capacity right now, and who has room for the next request that lands
• All Matters Dashboard: where work is coming from by business unit, and what type of work it is by category, with filters and drill-downs on every chart
• Timeline Dashboard: how volume and workload have moved over time, so the team can show a trend instead of a snapshot
• External Dashboard: what the department is spending with outside counsel, and whether the expensive firms are on the matters that warrant them
• Xakia Quadrant: matters plotted by strategic value against complexity, so resourcing decisions have something solid behind them
• Reports built for a leadership audience: the Executive Summary Report for the board pack, and the Concise Matters List Report with redaction for privileged matters
• Automated reporting, so the monthly pack builds itself
• One-click PDF export from any dashboard or report

Good reporting is how the Legal Department gets resourced and funded. Teams already using Xakia can expect to walk out with at least one dashboard they haven't opened yet. Teams still deciding will see exactly what their own matter data could tell them, and how quickly they'd get there.