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Why Voice ID Is the New Digital Fingerprint
Uncover the power of Voice ID as the new digital fingerprint. Learn more about its impact on authentication and privacy in the AI era.

Interpreter vs. Translator — What’s the Difference?
Interpreters and translators work with language, but their roles differ. Learn the differences between interpreting and translating, and when you need each.

Stenography, AI, and the Future of Steno Tech
AI can be a revolutionary tool for stenographers. Learn about steno AI trends and how this technology can complement this important work.

How to Start a Podcast With No Audience: It Can Be Done!
If you’re wondering how to start a podcast audience with no audience, rest assured: It can be done! And Rev will tell you how in 12 steps.
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11+ Legal Tech Conferences to Attend in 2026
Legal tech conferences can introduce your firm to new, cutting-edge technology that will help you deliver better results at a faster pace. Let’s look at some important upcoming law events.

100+ Legal Terms + How A Transcript Glossary Improves Accuracy
Explore 100 essential legal terms and learn how Rev’s custom glossaries improve transcript accuracy, consistency, and efficiency for legal teams.

Why Legal AI Needs Better AI Architecture, Not Generative Guesswork
Click to learn how closed-loop AI architecture can significantly reduce hallucination risk vs. generative AI guesswork in high-stakes legal work.

Digital Forensics Tools to Help Beat Evidence Overwhelm
Rev’s breakdown of tools for gathering and organizing digital evidence covers a wide range of cyber forensics software and free digital forensics tools.

42 Criminal Justice Statistics for the United States
The American criminal justice system is vast and ever-changing, with technology and reforms being introduced every day. Let’s look at some key criminal justice data.

58+ Chatbot Statistics That Demonstrate The Future of AI
The popularity of AI chatbots for businesses and beyond doesn’t seem to be slowing down. Let’s look at some statistics that cover the popularity, use cases, and future of AI chatbots.

60% of Americans Get Their Legal Knowledge From Media Consumption
A new survey reveals what Americans think lawyers do, spotlighting the growing need for solutions that close the gap between legal reality and public perception.

4 in 5 Legal Professionals Are Burned Out: Can AI Be the Lifeline?
New report: 4 in 5 lawyers experience burnout. Learn how overwhelming workloads lead to stress and how AI is helping legal professionals find balance.
Google Meet Transcription: A Complete Guide
Learn how to get Google Meet transcriptions, as well as steps to get a transcription using Rev’s industry-leading VoiceHub.
How to Use Google Docs to Transcribe Audio
Google Docs voice typing allows you to transcribe audio, but there are better options. Here's how to transcribe audio with Google Docs.
ASR Benchmark Report 2024
Check out Rev's 2024 ASR report to learn more about which automatic speech recognition (ASR) solution is most accurate and how to avoid costly errors.
How to Test Speech Recognition Engine (ASR) Accuracy and Word Error Rates
Find out how to use Rev's free developer tools to test speech recognition accuracy and word error rates for any ASR or API.

Pentagon Press Briefing for 11/26/24
Pat Ryder delivers the Pentagon Press briefing for 11/26/24. Read the transcript here.

State Department Press Briefing for 11/25/24
Matthew Miller delivers the State Department briefing for 11/25/24. Read the transcript here.

Biden Pardons Turkeys for the Last Time
President Biden presides over 77th annual National Thanksgiving Turkey Pardon. Read the transcript here.

Biden Speaks on Ceasefire
President Biden delivers remarks on ceasefire between Israel and Hezbollah in Lebanon. Read the transcript here.

Karine Jean-Pierre White House Press Briefing on 11/21/24
Karine Jean Pierre holds the White House Press Briefing for 11/21/24. Read the transcript here.

Training AI Takes a Heavy Toll on Kenyans
Digital workers in Kenya had to sift through horrific online content to train AI, but say they were underpaid and overworked. Read the transcript here.
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