General-purpose AI tools are everywhere, and investigators are under pressure to use them. But what happens when an AI smooths over a witness's evasiveness, quietly drops an inconsistency, or rewrites verbatim language, altering the factual record?
Lindsay Kim Chung has seen it happen — and built the alternative.
In this session, Lindsay exposes the specific, case-damaging ways popular AI tools fail in high-stakes investigative work: mischaracterizing behavioral cues, sanitizing evidentiary language, and leaving contradictions buried in document sets too large to review manually. She then walks through TensorCase, the purpose-built AI platform she developed — designed around the standards investigators are held to. Verbatim preservation. Contradiction flagging with source citations. Unanswered-question tracking. Full evidentiary record analysis across interviews, OCR-processed documents, email archives, and image files.
If you're using AI in your investigations today — or deciding whether you should — this session will raise questions you'll want answered before your next case depends on it.
You will leave with:
• A clear framework for evaluating whether any AI tool meets the defensibility standard your cases require
• Specific red flags to watch for when AI summarizes witness interviews
• A practical understanding of what investigation-grade AI actually needs to do — and how TensorCase was designed to do it
Presenter: Lindsay Kim Chung, Founder and CEO of TensorCase
Lindsay Kim Chung is a former investigator, now Founder and CEO of TensorCase, an AI platform designed to help investigators analyze evidence, organize documents, and draft investigation reports more efficiently. Lindsay built TensorCase after experiencing firsthand the challenges of managing large volumes of unstructured evidence and producing defensible reports under tight deadlines. Her work focuses on applying AI to investigative workflows while maintaining the transparency, verification, and human judgment required in high-stakes investigative work. She regularly writes and speaks about the practical use of AI in investigations, emphasizing tools that augment professional judgment rather than replace it.
This live Webinar will be hosted via Zoom. After you register on the CALI website, you’ll receive a confirmation email with the Zoom link, meeting ID, and passcode. Please complete your Zoom registration in advance to join the live webinar.
If you do not receive the Zoom registration link on the day of your registration, please email
info@cali-pi.org.
Participants who register and attend this webinar will earn one CPI experience credit or continuing education credit. When joining the webinar, please enter your full name for attendance records and continuing education credit verification.
To receive a Certificate of Attendance, email
info@cali-pi.org and allow up to 72 hours to receive it.
Certificates will only be awarded to individuals who fully participate or attend at least 85% of the webinar session.