Automated Video Evidence Review with AI Integration Workflow

Automated Video Evidence Review

1. Initial Video Upload

1.1. Client Submission

Clients upload video evidence through a secure portal.

1.2. Format Verification

Ensure the video is in a compatible format (e.g., MP4, AVI).

2. AI-Driven Video Analysis

2.1. Automated Scene Detection

Utilize AI tools such as IBM Watson Video Analytics to automatically identify and segment different scenes within the video.

2.2. Object and Activity Recognition

Implement Google Cloud Video Intelligence to detect and label objects and activities, providing context to the evidence.

3. Metadata Extraction

3.1. Time-Stamping

Automatically generate timestamps for key events detected in the video.

3.2. Audio Transcription

Use Otter.ai to transcribe spoken words into text for easier review and reference.

4. Review and Annotation

4.1. AI-Assisted Review

Leverage Everlaw to allow legal teams to review video evidence with AI-generated summaries highlighting critical segments.

4.2. Collaborative Annotation

Enable team members to annotate videos directly within the platform for collaborative analysis.

5. Report Generation

5.1. Automated Report Creation

Utilize CaseGuard to automatically compile findings and insights into a comprehensive report.

5.2. Customization of Reports

Allow legal teams to customize reports with specific highlights and notes relevant to the case.

6. Final Review and Approval

6.1. Legal Team Review

Conduct a final review of the annotated video and generated report by the legal team.

6.2. Client Presentation

Present findings to the client in a clear and concise manner, utilizing visual aids from the video analysis.

7. Archiving and Compliance

7.1. Secure Storage

Store video evidence and reports in a secure, compliant manner using AWS S3.

7.2. Audit Trail Maintenance

Ensure all actions taken during the review process are logged for compliance and future reference.