Lineal Services

APRIL 22, 2025

But many investigative processes still rely on outdated methods: over-collect data, sift manually through thousands of files, and hope the answers emerge in time. In this environment, analytics isnt an optional enhancementits foundational. It’s analytics with operational clarity built in. Its not just inefficientits risky.

Analytics 51

Analytics Time-tracking Compliance Legal technology 51

Ron Friedmann

JULY 22, 2020

This is a live blog post of a Legal Value Network virtual webinar, A Look at Client-Side AI-Powered Legal Spend Analytics Tools. These disruptors started in 2009 with GFC and now, with COVID, the change is happening even faster. Prior to his arrival, there was not a single system to track legal spend. Mentions Pursuit for RFPs.

Analytics 130

Analytics e-discovery Time-tracking Machine learning 130

Lineal Services

FEBRUARY 6, 2025

By shifting to RelativityOne , legal teams empower themselves to focus on strategic tasks rather than IT challenges, creating more time for impactful, data-driven decisions. Unlike Relativity Server, it removes hardware limits, allowing integration of advanced tools such as AI workflows and analytics. Why the Shift?

Time-tracking 82

Time-tracking Analytics Data protection Law firm 82

Lineal Services

APRIL 11, 2025

Its time to move from lip service to leadership. Streamlining workflows that protect profit marginsand your teams time. A modern approach requires: AI-driven analytics to reduce review volume before it begins. Transformation isnt about adding more toolsits about rethinking the role of data in legal operations.

Time-tracking 40

Time-tracking Analytics Law firm Legal technology 40

Lineal Services

APRIL 15, 2025

If your litigation strategy still relies on manual sorting, you’re burning time and budget. Advanced eDiscovery tools that can reconstruct conversations, surface visual data, and dynamically track changes across multiple data sources are no longer just nice to havetheyre essential for uncovering the full picture. Even better?

Time-tracking 40

Time-tracking Digital evidence Analytics Data protection 40

Lineal Services

APRIL 24, 2024

Best practices in data cleaning for eDiscovery include: Automation Tools : Employing software that can automatically detect and correct errors in data to save time and reduce human error. Trend Analysis : Analyzing data trends over time to predict future occurrences or to understand past behaviors within a dataset.

Machine learning 98

Machine learning Time-tracking Analytics Practice management 98

Lineal Services

FEBRUARY 27, 2024

Slack, Microsoft Teams), and any other digital channels that support real-time or asynchronous messaging. Journey of a Message: Status Indicators Metadata tracks a message’s journey from “sent” to “received” to “read”, providing transparency and peace of mind for users. messages posted by a bot), and timestamps.

Digital evidence 52

Digital evidence Time-tracking Analytics Compliance 52