
A-dapt
AI-powered witness preparation tool using real-time emotion analysis to enhance legal training and privacy-first client readiness.
- Pricing
- Custom
- Built for
- Mid-market law firms
- Funding
- Unknown · $100K raised
- Team size
- 1-10
- Founded
- 2021
- Industry
- Legal Services
Use cases
Deposition prepLitigation supportDocument summarizationCase strategy / analytics
Practice areas
LitigationPrivacy & data protection
Company
A-dapt (a-dapt.com) is a company focused on integrating Emotion AI into the LegalTech sector. Their primary offering is an AI-driven solution designed to assist lawyers with scalable, privacy-first witness preparation. The AI product leverages real-time emotion analysis to enhance the effectiveness of legal training and witness preparation. The target audience for A-dapt's AI product is legal professionals, particularly those involved in preparing witnesses for legal proceedings.
Use cases in depth
A-Dapt specializes in Emotion AI LegalTech training tools, with its main product being the TestMyWitness platform. Here are the key features and functions:
- Emotional AI for witness preparation: Uses real-time emotion analysis to help witnesses appear more confident and credible.
- Viewer Emotion Analysis: Captures emotional reactions, attention, and engagement in-browser, with privacy-first design.
- Emotion Overlay: Provides real-time emotional feedback, 2D heatmaps, dynamic emotion labels (e.g., Confident, Angry), and coaching to improve delivery style.
- Risk Signal Detection: Flags signals like hostility, evasion, or low confidence to help legal teams address issues before court.
- Transcript and Annotation Workspace: Auto-generates Q&A transcripts with speaker labels, timestamps, emotion tags, and allows lawyers to add comments, emoji reactions, and highlights. Reports can be exported.
- Question and Comment Tracker: Logs questions live, groups them by topic, and highlights sections with more comments or flagged issues for focused follow-up.
- Privacy and Bias Reduction: Designed not to identify individuals or profile racial characteristics.
- Eco-Friendly: Uses device CPU to reduce carbon footprint.
Other tools and features include soft skills coaching (Interview Coach, Maths Tutor), and a focus on scalable, human-centric AI for training, LawTech, and MarTech applications.
Practice area fit
A-dapt.com primarily supports the Litigation practice area, with a specific focus on witness preparation for court and legal interviews.
Key features and functions of A-dapt/TestMyWitness:
- Uses Emotion AI to analyze and improve witness confidence and credibility.
- Real-time emotional feedback during witness preparation, including heatmaps and dynamic emotion labels (e.g., Confident, Passive, Angry).
- “Move the dot” coaching to help witnesses appear more composed.
- Flags risk signals such as hostility, evasion, or low confidence.
- Auto-generated Q&A transcripts with speaker labels, timestamps, and emotion tags.
- Lawyers can add comments, emoji reactions, and highlight issues for follow-up coaching.
- Exportable reports for internal or client use.
- Live-logged question and comment tracker, grouped by topic for structured session review.
- Privacy-first design (does not identify individuals or profile racial characteristics).
- Eco-friendly, using device CPU to reduce carbon footprint.
Security & compliance
Based on the information available on a-dapt.com, the company displays a GDPR compliance badge, indicating that it is GDPR compliant. There is no evidence or mention of SOC 2 Type II, ISO 27001, HIPAA, or CCPA compliance on the website.
Data handling
A-dapt.com explicitly states that its platform is "privacy-first" and "designed not to identify individuals." It also claims to never profile racial characteristics and emphasizes privacy in its emotion analysis features. However, there is no explicit mention on the main site of "no data retention," "client data not used for training," "on-prem deployment," "private cloud," or "customer-managed encryption keys." For more detailed or legally binding data handling statements, users are directed to their privacy policy.