Computer forensics rises up the legal agenda

The legal profession is responding to the increasing importance of digital evidence in legal cases by extending its professional development training to include computer forensics. In the first of a series of presentations to 23 Essex Street, information forensics specialists Andy Clark and Nick Spenceley, directors of Inforenz, spoke about The Hidden Life of Documents. They demonstrated how rigorous forensic investigation can reveal unexpected information about computer files such as how, when and by whom they are created. They were also able to show how such data has provided key evidence for both prosecution and defence in a wide variety of criminal cases. The Inforenz talk was followed by a presentation by barristers from 23 Essex Street about the legal issues surrounding the use of digital evidence.Lynn Griffin, the barrister who initiated this training at 23 Essex Street, said: “I have experience in trials of successfully using the significant amount of evidence that can be derived from computer files. As a result of our experience within Chambers we recognise the importance not only of understanding this form of evidence but also of ensuring that those who provide it adhere to the highest professional standards. Computer forensics is now a key part of our CPD (Continuing Professional Development) programme –its importance can only grow and we are pleased to be amongst the first chambers to address this in our training.”

Nick Spenceley of Inforenz commented: “Digital evidence is becoming an increasingly important area of law and there is a need for excellent communication channels between information forensic specialists and the legal community. We were very impressed with the barristers’ and solicitors’ rapid grasp of the potential of computer forensic evidence. We in turn learned more about the legal constraints especially regarding the disclosure of metadata, and our clients’ needs from the complementary presentation by barristers about the legal implications of digital evidence.”

Inforenz next presentation in this CPD programme will be about Tracking Email, an issue currently high up the political agenda.

About Inforenz

Inforenz is a computer forensics investigation company that provides software products and consultancy services to government, law enforcement agencies, commercial law firms, financial institutions, forensic accountants and corporate investigators seeking to recover digital evidence.


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Inforenz conducts all stages of information forensics investigations, from evidence recovery to expert witness testimony. In addition, Inforenz is developing a suite of specialist software products for computer forensics professionals, the first release of which is the metadata recovery and analysis package, Forager®.

Inforenz was founded in 2001 by Andy Clark, Vince Gallo and Nick Spenceley, key players in the development of information security over the past two decades. Using its Deep Thought supercomputing platform, Inforenz has particular strengths in recovering concealed and encrypted data.

About 23 Essex Street

23 Essex Street is primarily a criminal set whose members practise in all areas of criminal law, both defending and prosecuting, across London and the South Eastern Circuit. Silks practise throughout the country. 23 Essex Street has a particular reputation in the core area of criminal work, in cases concerning serious crime, and other cases including white-collar crime, such as criminal fraud; criminal offences relating to the protection of intellectual property; money-laundering offences; and customs and revenue offences.

Lynn Griffin is named as one of the “leading lights” of the legal profession in Legal Experts 2004, and identified by researchers as being highly recommended in her field of expertise of intellectual property. She has been identified as a “leading junior” in the field of intellectual property in The Legal 500.

She specialises in criminal sanctions for infringement of intellectual property rights and has regularly appeared to prosecute on behalf of the Federation Against Copyright Theft Ltd., conducting cases under the Video Recordings Act 1984, Copyright Designs and Patents Act 1988, Computer Misuse Act 1990, Trade Marks Act 1994 and offences of conspiracy to defraud.

Media Enquiries
Stephen Fleming at Palam Communications
Tel +44 (0) 1635 299116
Email sfleming@palam.co.uk
web www.palam.co.uk

Carine Wayne-Campbell
Marketing Co-ordinator
23 Essex Street
Tel +44(0) 207 413 0353
Email carinewaynecampbell@23es.com
Web www.23es.com

General Enquiries
Andy Clark
Director, Inforenz Limited
Tel +44 (0) 845 644 5435
Email andy.j.clark@inforenz.com
web www.inforenz.com

Lynn Griffin
Barrister
23 Essex Street
Tel +44(0) 207 413 0353
Email lynngriffin@23es.com
Web www.23es.com

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Latest Videos

Digital Forensics News Round-Up, May 01 2024 #dfir #computerforensics

Forensic Focus 1st May 2024 5:30 pm

Marco Fontani joins the Forensic Focus podcast to discuss Amped Software’s latest AI-powered tool, DeepPlate. DeepPlate is a deep learning system designed to read license plates affected by common issues introduced by surveillance systems, making it a valuable asset for forensic video analysts.

Marco provides an in-depth overview of DeepPlate, explaining how it currently supports eight countries (France, Germany, Italy, the Netherlands, Spain, Sweden, the UK, and the United States) and how it uses separate models for each country to account for varying license plate formats. He also discusses the synthetic data generation process used for training the models, ensuring privacy and mitigating bias.

The conversation delves into the limitations and considerations when using AI-based tools in a forensic workflow, with Marco emphasizing the importance of bias mitigation techniques and proper interpretation of confidence scores. He stresses that DeepPlate is an investigative tool designed to provide a second opinion, rather than a tool for court admissibility.

00:00 – What is DeepPlate and what is its purpose?
02:45 – How many countries does DeepPlate currently support?
09:30 – What are the challenges of diplomatic and personalised number plates?
11:30 – How would a forensic video analyst use DeepPlate as part of their workflow?
13:40 – Can DeepPlate be used in Court?
16:30 – What is Amped Software’s position on AI?
19:00 – What will be the impact of updated models on results?
20:50 – What kind of data is used to train the system?
23:30 – How has the system been tested?
26:15 – What are the access conditions for using DeepPlate?
28:05 – Does Amped Software retain user data for DeepPlate and if yes for how long? 
29:45 – Is it possible to buy additional seats for your license?
31:00 – What are the limitations and considerations when using AI-based tools like
DeepPlate for forensic and investigative purposes?
35:20 – Does Amped Software plan to use AI in other areas?

Show Notes 

Washington State Judge Blocks Use Of AI-Enhanced Video As Evidence In Possible First-Of-Its-Kind-Ruling - https://www.linkedin.com/feed/update/urn:li:activity:7181308834370494464/

Neural Network for Denoising and Reading Degraded License Plates - https://link.springer.com/chapter/10.1007/978-3-030-68780-9_39

Introducing DeepPlate, Amped’s Investigative Tool for AI-Powered License Plate Reading - https://blog.ampedsoftware.com/2024/02/28/introducing-deepplate-ampeds-investigative-tool-for-ai-powered-license-plate-reading

Marco Fontani joins the Forensic Focus podcast to discuss Amped Software’s latest AI-powered tool, DeepPlate. DeepPlate is a deep learning system designed to read license plates affected by common issues introduced by surveillance systems, making it a valuable asset for forensic video analysts.

Marco provides an in-depth overview of DeepPlate, explaining how it currently supports eight countries (France, Germany, Italy, the Netherlands, Spain, Sweden, the UK, and the United States) and how it uses separate models for each country to account for varying license plate formats. He also discusses the synthetic data generation process used for training the models, ensuring privacy and mitigating bias.

The conversation delves into the limitations and considerations when using AI-based tools in a forensic workflow, with Marco emphasizing the importance of bias mitigation techniques and proper interpretation of confidence scores. He stresses that DeepPlate is an investigative tool designed to provide a second opinion, rather than a tool for court admissibility.

00:00 – What is DeepPlate and what is its purpose?
02:45 – How many countries does DeepPlate currently support?
09:30 – What are the challenges of diplomatic and personalised number plates?
11:30 – How would a forensic video analyst use DeepPlate as part of their workflow?
13:40 – Can DeepPlate be used in Court?
16:30 – What is Amped Software’s position on AI?
19:00 – What will be the impact of updated models on results?
20:50 – What kind of data is used to train the system?
23:30 – How has the system been tested?
26:15 – What are the access conditions for using DeepPlate?
28:05 – Does Amped Software retain user data for DeepPlate and if yes for how long?
29:45 – Is it possible to buy additional seats for your license?
31:00 – What are the limitations and considerations when using AI-based tools like
DeepPlate for forensic and investigative purposes?
35:20 – Does Amped Software plan to use AI in other areas?

Show Notes

Washington State Judge Blocks Use Of AI-Enhanced Video As Evidence In Possible First-Of-Its-Kind-Ruling - https://www.linkedin.com/feed/update/urn:li:activity:7181308834370494464/

Neural Network for Denoising and Reading Degraded License Plates - https://link.springer.com/chapter/10.1007/978-3-030-68780-9_39

Introducing DeepPlate, Amped’s Investigative Tool for AI-Powered License Plate Reading - https://blog.ampedsoftware.com/2024/02/28/introducing-deepplate-ampeds-investigative-tool-for-ai-powered-license-plate-reading

YouTube Video UCQajlJPesqmyWJDN52AZI4Q_OVTrTRCC5ZQ

AI-Powered License Plate Reading With Amped DeepPlate

Forensic Focus 30th April 2024 9:58 am

Forensic Focus Digest, April 26 2024 #digitalforensics #dfir

Forensic Focus 26th April 2024 3:35 pm

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