Electronic Discovery and Computer Forensics
Expert-defined terms from the Advanced Certification in Legal Document Review (United Kingdom) course at London School of Business and Administration. Free to read, free to share, paired with a professional course.
Acquisition #
Acquisition
Explanation #
The process of obtaining digital data from a source device in a manner that preserves its integrity for analysis. Example: Creating a bit‑for‑bit copy of a suspect’s hard drive using a write‑blocked forensic workstation. Application: Enables investigators to examine data without altering the original source, a critical step before any analysis. Challenges: Maintaining chain of custody, avoiding inadvertent modification, and handling large volumes of data.
Adverse Party #
Adverse Party
Explanation #
The individual or organization that opposes the requesting party in a legal dispute and may be subject to e‑discovery requests. Example: In a breach of contract case, the company sued is the adverse party required to produce electronic documents. Application: Determines who must comply with disclosure obligations and may influence the scope of data collection. Challenges: Negotiating data production limits, protecting privileged material, and managing cross‑border data transfers.
Affidavit of Authenticity #
Affidavit of Authenticity
Explanation #
A sworn statement confirming that electronic evidence has been preserved in its original form and is reliable for court use. Example: A forensic analyst signs an affidavit attesting that a seized email archive is an exact copy of the original. Application: Supports admissibility of digital evidence under the UK Civil Procedure Rules. Challenges: Demonstrating that proper forensic procedures were followed and that no tampering occurred.
Aggregation #
Aggregation
Explanation #
The process of combining multiple data sources or files into a single set for easier review and analysis. Example: Merging separate email archives from different accounts into one searchable repository. Application: Streamlines document review, reduces duplication, and improves keyword searching efficiency. Challenges: Preserving original metadata, avoiding loss of context, and managing large aggregated datasets.
Allegation #
Allegation
Explanation #
A statement asserted as a fact in a legal document, which may be supported by electronic evidence. Example: Alleging that a contract was breached due to unauthorized data alteration. Application: Guides the scope of e‑discovery by identifying specific electronic records needed to prove or refute claims. Challenges: Determining relevance of vast amounts of electronic data to each allegation.
Anti‑Forensics #
Anti‑Forensics
Explanation #
Methods used to hinder forensic analysis, such as data wiping, encryption, or steganography. Example: Using a secure deletion tool to overwrite file sectors beyond recovery. Application: Recognized as an adverse factor when assessing evidence integrity, often requiring specialized recovery techniques. Challenges: Detecting anti‑forensic measures, allocating additional resources for data recovery, and interpreting incomplete data.
Application Programming Interface (API) #
Application Programming Interface (API)
Explanation #
A set of protocols that allows software components to communicate, often used to extract data from systems during e‑discovery. Example: Leveraging the Microsoft Graph API to retrieve Teams chat logs for review. Application: Enables efficient, targeted data extraction without manual copying. Challenges: Understanding API limitations, handling rate‑limits, and ensuring that extracted data is forensically sound.
Archive #
Archive
Explanation #
A collection of files bundled together, often compressed, and stored for long‑term retention. Example: A .Zip file containing years of financial statements. Application: Provides a convenient way to transport large volumes of documents during production. Challenges: Verifying integrity after decompression, preserving timestamps, and ensuring all relevant files are included.
Artificial Intelligence (AI) #
Artificial Intelligence (AI)
Explanation #
Computer systems that emulate human intelligence to analyze patterns, often used to prioritize documents for review. Example: An AI engine that ranks emails by relevance to a specific legal issue. Application: Reduces review time and cost by focusing human effort on high‑value items. Challenges: Training bias, transparency of decision‑making, and meeting defensibility standards in court.
Authentication #
Authentication
Explanation #
The process of establishing that a piece of electronic evidence is genuine and unaltered. Example: Verifying a PDF’s hash value matches the original file’s hash recorded at acquisition. Application: Required for admissibility under the UK Evidence Act. Challenges: Demonstrating chain of custody, handling encrypted or corrupted files, and addressing challenges to authenticity.
Backup #
Backup
Explanation #
A copy of data created to protect against loss, frequently a source of discoverable information. Example: Daily incremental backups of a corporate file server. Application: May contain relevant evidence that must be preserved and produced. Challenges: Identifying which backup sets are responsive, dealing with retention policies, and accessing proprietary backup formats.
Baseline Imaging #
Baseline Imaging
Explanation #
Capturing an initial image of a system before any investigative actions to serve as a comparison point. Example: Imaging a suspect’s laptop prior to installing forensic tools. Application: Allows investigators to detect changes made during analysis, ensuring evidential integrity. Challenges: Time constraints, storage requirements, and ensuring the baseline is truly untouched.
Bitstream #
Bitstream
Explanation #
The complete, unaltered sequence of bits from a storage medium, used in forensic imaging. Example: A .Dd image file containing every sector of a hard drive. Application: Provides the most accurate representation of the original media for analysis. Challenges: Large file sizes, need for write‑blocking, and ensuring hash verification.
Boot Sector #
Boot Sector
Explanation #
The portion of a storage device that contains code to start the operating system, often examined for hidden data. Example: Analyzing the MBR for evidence of malware that altered boot processes. Application: Can reveal tampering or the presence of concealed partitions. Challenges: Differentiating legitimate boot code from malicious alterations, especially on modern UEFI systems.
Brute‑Force Attack #
Brute‑Force Attack
Explanation #
A method of attempting every possible key combination to gain unauthorized access to encrypted data. Example: Using a GPU‑accelerated tool to recover a forgotten password on an encrypted archive. Application: May be employed by investigators when lawful authority permits decryption of evidence. Challenges: Legal and ethical considerations, time consumption, and the potential for data corruption.
Chain of Custody #
Chain of Custody
Explanation #
Documentation that tracks the possession, control, transfer, analysis, and disposition of evidence. Example: A log showing that a seized laptop was transferred from police to forensic lab on a specific date. Application: Critical for establishing evidence reliability in court. Challenges: Maintaining accurate records across multiple jurisdictions and ensuring no gaps exist.
Cloud Computing #
Cloud Computing
Explanation #
Delivery of computing resources over the internet, often a source of electronically stored information (ESI). Example: Retrieving Slack messages stored in a cloud service for a workplace dispute. Application: Requires specific legal processes to obtain data from service providers. Challenges: Data location uncertainty, multi‑tenant environments, and complying with data protection regulations.
Cold Storage #
Cold Storage
Explanation #
Long‑term retention of data in a low‑cost, low‑access environment, often used for compliance. Example: Tape archives kept for seven years to satisfy statutory retention periods. Application: May contain relevant evidence that must be preserved and later retrieved. Challenges: Access latency, media degradation, and ensuring metadata is retained.
Compliance #
Compliance
Explanation #
Adherence to legal and industry standards governing data handling, privacy, and security. Example: Ensuring e‑discovery processes respect the UK Data Protection Act. Application: Guides how data can be collected, processed, and produced without violating privacy laws. Challenges: Balancing discovery obligations with data protection duties, especially in cross‑border cases.
Compression #
Compression
Explanation #
Reducing the size of files by encoding data more efficiently, often used when transmitting large document sets. Example: Providing a .Zip file of 10,000 PDFs to opposing counsel. Application: Facilitates quicker transfer and reduces storage costs. Challenges: Maintaining file integrity, preserving original timestamps, and ensuring that compression does not alter content.
Confidentiality #
Confidentiality
Explanation #
The duty to protect sensitive information from unauthorized disclosure during e‑discovery. Example: Redacting personal identifiers in a production set before sharing. Application: Required to comply with professional standards and data protection laws. Challenges: Identifying privileged material, applying consistent redaction, and avoiding inadvertent disclosure.
Conservation #
Conservation
Explanation #
The act of retaining potentially relevant ESI in its original state pending litigation. Example: Issuing a legal hold on all employee laptops to prevent data deletion. Application: Prevents spoliation and ensures evidence is available when needed. Challenges: Monitoring compliance across an organization, handling mobile devices, and managing storage costs.
Consortium #
Consortium
Explanation #
A collaborative organization that develops standards and best practices for e‑discovery and forensics. Example: The UK Digital Evidence Association (UKEA) forming guidelines for forensic imaging. Application: Provides frameworks that improve consistency and reliability of processes. Challenges: Keeping standards up‑to‑date with rapidly evolving technology.
Content Management System (CMS) #
Content Management System (CMS)
Explanation #
Software used to create, manage, and store digital content, often a source of discoverable documents. Example: Extracting site pages and attached files from a corporate SharePoint environment. Application: Requires specialised extraction tools to capture metadata and version history. Challenges: Navigating complex permission structures, handling large data volumes, and preserving relational data.
Contextual Search #
Contextual Search
Explanation #
Searching techniques that consider the meaning and surrounding information of terms rather than exact matches. Example: Using AI‑driven search to find emails discussing “project X” even if the exact phrase isn’t used. Application: Increases relevance of results and reduces false positives. Challenges: Training models on domain‑specific language and ensuring search results are defensible.
Copy‑on‑Write #
Copy‑on‑Write
Explanation #
A method where a snapshot records changes without altering the original data, preserving a point‑in‑time view. Example: Creating a snapshot of a virtual server before forensic analysis. Application: Allows investigators to examine data while leaving the original system untouched. Challenges: Ensuring the snapshot captures all live data, including volatile memory.
Cryptographic Hash #
Cryptographic Hash
Explanation #
A unique digital fingerprint generated from data, used to verify integrity and detect alteration. Example: Recording the SHA‑256 hash of an image file at acquisition and confirming it later. Application: Provides a tamper‑evidence mechanism accepted in court. Challenges: Choosing a hash algorithm resistant to collisions and handling large data sets efficiently.
Data Breach #
Data Breach
Explanation #
An unauthorized acquisition of electronic data, often leading to litigation and discovery obligations. Example: A ransomware incident exposing customer records. Application: May trigger mandatory disclosure and preservation duties under UK law. Challenges: Determining scope, preserving evidence amidst ongoing attacks, and coordinating with regulators.
Data Carving #
Data Carving
Explanation #
The process of reconstructing files from raw data fragments without file system metadata. Example: Recovering deleted JPEG images from a disk’s slack space. Application: Useful when files have been intentionally deleted or when the file system is damaged. Challenges: High false‑positive rates, time‑intensive processing, and the need for expert interpretation.
Data Governance #
Data Governance
Explanation #
The overall management of data availability, usability, integrity, and security within an organization. Example: Implementing a policy that mandates retention of all email for seven years. Application: Provides a framework that supports efficient e‑discovery and compliance. Challenges: Aligning business goals with legal obligations and ensuring consistent enforcement.
Data Loss Prevention (DLP) #
Data Loss Prevention (DLP)
Explanation #
Technologies and processes designed to prevent unauthorized data transmission outside an organization. Example: DLP software blocking the transfer of confidential PDFs to external USB drives. Application: May affect the availability of evidence if data is blocked before it can be collected. Challenges: Configuring policies to avoid over‑blocking legitimate communications and documenting DLP logs for forensics.
Data Minimisation #
Data Minimisation
Explanation #
The practice of limiting the collection and retention of data to only what is necessary for a specific purpose. Example: Restricting production to emails containing the keyword “contract” rather than all corporate mail. Application: Helps comply with GDPR and reduces unnecessary exposure of personal data. Challenges: Determining the appropriate scope without omitting potentially relevant evidence.
Data Mapping #
Data Mapping
Explanation #
The systematic identification of where relevant data resides across an organization’s systems. Example: Charting all databases, file shares, and cloud services that may contain project‑related emails. Application: Guides targeted collection and reduces unnecessary data capture. Challenges: Keeping the map current as systems evolve and dealing with shadow IT.
Data Redaction #
Data Redaction
Explanation #
The process of permanently removing or obscuring sensitive information from documents before production. Example: Black‑out of personal identifiers in a PDF before sharing with counsel. Application: Protects privacy and privileged material while satisfying disclosure obligations. Challenges: Ensuring redaction is truly irreversible, maintaining document integrity, and avoiding over‑redaction.
Data Retention Policy #
Data Retention Policy
Explanation #
Organizational rules dictating how long different categories of data must be kept before deletion. Example: Retaining financial transaction logs for ten years per regulatory requirement. Application: Provides guidance for preservation decisions during litigation. Challenges: Aligning with multiple jurisdictions and updating policies as regulations change.
Data Set #
Data Set
Explanation #
A group of electronic files or records gathered for analysis or disclosure. Example: A data set comprising all emails between two parties over a six‑month period. Application: Forms the basis for review, analysis, and eventual production. Challenges: Managing size, ensuring completeness, and maintaining metadata fidelity.
Database #
Database
Explanation #
Structured collection of data organized into tables, often a rich source of discoverable information. Example: Extracting customer order records from a MySQL database. Application: Requires specialized extraction tools to preserve relational integrity and timestamps. Challenges: Handling complex schemas, dealing with encrypted fields, and ensuring query accuracy.
De‑Duplication #
De‑Duplication
Explanation #
The process of identifying and removing identical copies of files to reduce storage and review effort. Example: Using a dedup engine to collapse 5,000 identical PDF invoices into a single representative copy. Application: Improves efficiency in large productions. Challenges: Maintaining audit trails, ensuring no subtle differences are lost, and handling near‑duplicate variations.
Defence Counsel #
Defence Counsel
Explanation #
The legal representative for the party defending against a claim, who may request or oppose e‑discovery. Example: Defence counsel filing a motion to limit production of privileged emails. Application: Influences the scope and methodology of data collection and review. Challenges: Negotiating production scope, protecting privileged material, and managing costs.
Deletion #
Deletion
Explanation #
The act of removing a file from a system, which may leave remnants in unallocated space. Example: Deleting a document from a Windows folder, which still resides in the MFT slack. Application: Investigators often attempt to recover deleted items as part of forensic analysis. Challenges: Determining whether deletion was intentional, assessing the completeness of recovery, and dealing with secure erase methods.
Digital Evidence #
Digital Evidence
Explanation #
Information stored or transmitted in digital form that may be used to prove or disprove a fact in legal proceedings. Example: Log files showing access to a confidential document. Application: Central to modern litigation, requiring proper handling to ensure admissibility. Challenges: Authenticity, chain of custody, and dealing with encryption or anti‑forensic measures.
Digital Forensics #
Digital Forensics
Explanation #
The discipline of uncovering, preserving, and interpreting electronic data for investigative purposes. Example: Analyzing a seized smartphone to retrieve call logs and messaging history. Application: Supports both criminal and civil matters, often overlapping with e‑discovery. Challenges: Rapid technology change, volume of data, and legal constraints on investigative techniques.
Document Review #
Document Review
Explanation #
The process of examining documents to determine relevance, privilege, and confidentiality. Example: Lawyers reviewing a batch of 10,000 emails for relevance to a contract dispute. Application: Core activity in litigation, increasingly aided by AI and predictive coding. Challenges: Managing large data sets, ensuring consistency, and meeting production deadlines.
Document Production #
Document Production
Explanation #
Supplying identified, relevant documents to the opposing party in a format complying with court rules. Example: Providing a CD‑R with all responsive PDFs, accompanied by an index file. Application: Fulfills the duty of disclosure under the Civil Procedure Rules. Challenges: Formatting, metadata preservation, and handling privileged material.
Document Type #
Document Type
Explanation #
The classification of a file based on its structure and intended use, such as PDF, DOCX, or MSG. Example: Recognising .Msg files as Outlook email messages. Application: Determines appropriate processing and rendering tools for review. Challenges: Dealing with proprietary formats, ensuring accurate conversion, and preserving formatting.
Encryption #
Encryption
Explanation #
The process of converting data into a coded form that can only be decoded with a key. Example: AES‑256 encryption of a hard drive used by a corporate executive. Application: Protects data confidentiality but may impede evidence collection. Challenges: Obtaining decryption keys legally, handling strong encryption, and preserving data integrity during attempts.
Enterprise Resource Planning (ERP) #
Enterprise Resource Planning (ERP)
Explanation #
Integrated software systems that manage core business processes, often containing critical transactional data. Example: Extracting purchase order records from an SAP module for a procurement dispute. Application: Requires specialised connectors to capture data without disrupting operations. Challenges: Complex data models, large transaction volumes, and potential system downtime.
Ethical Hacking #
Ethical Hacking
Explanation #
Authorized attempts to breach a system’s security to uncover vulnerabilities, sometimes used to test forensic tools. Example: Conducting a controlled intrusion to verify that an intrusion detection system logs relevant events. Application: Helps organisations understand data exposure risks that may affect e‑discovery. Challenges: Maintaining legal authority, ensuring no collateral damage, and documenting findings for admissibility.
Evidence Preservation #
Evidence Preservation
Explanation #
The act of safeguarding relevant data in its original state to prevent alteration or loss. Example: Placing all employee laptops on a hold to retain potential emails. Application: Prevents accusations of evidence destruction and meets court expectations. Challenges: Monitoring compliance, handling mobile devices, and balancing storage costs.
Evidence Triage #
Evidence Triage
Explanation #
The initial assessment of collected data to identify the most relevant or high‑value items for deeper analysis. Example: Using AI to flag emails containing the phrase “settlement offer” for immediate review. Application: Focuses resources on critical evidence early in the case timeline. Challenges: Avoiding bias, ensuring the triage process is defensible, and handling large data volumes.
Exhibit #
Exhibit
Explanation #
A piece of evidence formally introduced at trial, often requiring authentication and preparation. Example: Presenting a printed copy of a chat transcript as an exhibit. Application: Must be prepared in compliance with court rules, including any necessary redactions. Challenges: Converting electronic formats to acceptable physical or digital forms while preserving authenticity.
Export Control #
Export Control
Explanation #
Legal restrictions governing the movement of certain types of data across national borders. Example: Transferring encrypted files from the UK to a US counsel may trigger export licensing. Application: Impacts how and where data can be stored or processed during e‑discovery. Challenges: Identifying applicable controls, obtaining licences, and ensuring compliance with both UK and foreign regulations.
File System #
File System
Explanation #
The method and data structures an operating system uses to organise files on storage media. Example: Analyzing the NTFS Master File Table to locate deleted files. Application: Understanding the file system is essential for accurate forensic imaging and data carving. Challenges: Dealing with multiple file systems on a single device and handling newer technologies like APFS.
Forensic Tool Validation #
Forensic Tool Validation
Explanation #
The process of confirming that a forensic tool performs as claimed and produces reliable results. Example: Running the NIST test suite on a new imaging utility. Application: Provides confidence that evidence processed by the tool is admissible. Challenges: Keeping up with software updates, documenting validation procedures, and meeting court scrutiny.
Forensic Imaging #
Forensic Imaging
Explanation #
Creating an exact replica of a digital storage medium for analysis, preserving the original for evidential purposes. Example: Using FTK Imager to acquire a forensic image of a suspect’s USB drive. Application: Enables investigators to work on a duplicate while the original remains untouched. Challenges: Ensuring write‑blocking, verifying hash values, and managing storage for large images.
Forensic Laboratory #
Forensic Laboratory
Explanation #
A specialised environment equipped with tools and procedures for conducting digital investigations. Example: A private forensic lab performing malware analysis on seized devices. Application: Provides controlled conditions for evidence handling and expert testimony. Challenges: Maintaining accreditation, ensuring chain of custody, and handling high case volumes.
Forensic Reporting #
Forensic Reporting
Explanation #
The formal document summarising forensic methods, results, and conclusions for legal proceedings. Example: A report detailing the timeline of file modifications on a corporate server. Application: Serves as evidence in court and assists counsel in case strategy. Challenges: Writing clear, unbiased reports, including sufficient technical detail, and meeting disclosure deadlines.
Forensic Software #
Forensic Software
Explanation #
Applications designed to acquire, analyse, and present digital evidence. Example: Using EnCase for memory analysis of a compromised workstation. Application: Enables investigators to locate hidden data, recover deleted files, and generate reports. Challenges: Licensing costs, staying current with updates, and ensuring tool validation.
Forensic Soundness #
Forensic Soundness
Explanation #
The principle that forensic procedures must not alter the original evidence, preserving its evidentiary value. Example: Using a hardware write blocker during acquisition to maintain forensic soundness. Application: Critical for courtroom acceptance of digital evidence. Challenges: Balancing thorough analysis with non‑alteration, especially when using live acquisition techniques.
Full‑Disk Encryption (FDE) #
Full‑Disk Encryption (FDE)
Explanation #
Encryption applied to an entire storage device, protecting all data at rest. Example: A laptop whose drive is encrypted with BitLocker, requiring a recovery key for access. Application: May necessitate legal orders to compel decryption or the assistance of the key holder. Challenges: Accessing data in a timely manner, handling key escrow policies, and preserving volatile evidence.
GDPR (General Data Protection Regulation) #
GDPR (General Data Protection Regulation)
Explanation #
EU legislation governing personal data processing, retained in UK law post‑Brexit with modifications. Example: Ensuring that data produced in discovery does not violate data subject rights. Application: Influences how personal data is collected, stored, and disclosed during litigation. Challenges: Balancing discovery obligations with privacy rights, managing cross‑border transfers, and handling data subject requests.
Geolocation Data #
Geolocation Data
Explanation #
Information indicating the physical location of a device at a specific time, often embedded in photos or logs. Example: Extracting EXIF GPS coordinates from a photo to establish where a meeting occurred. Application: Can corroborate or refute statements about presence at a location. Challenges: Accuracy of data, privacy concerns, and ensuring proper extraction from various file types.
Global Search #
Global Search
Explanation #
An organization‑wide capability to locate documents across multiple repositories using a single query. Example: Searching a corporate SharePoint, file server, and email archive simultaneously for the term “confidential”. Application: Accelerates identification of potentially responsive material. Challenges: Indexing heterogenous data sources, handling access controls, and ensuring search results are comprehensive.
Hash Verification #
Hash Verification
Explanation #
Comparing calculated hash values of a file before and after processing to confirm no alteration occurred. Example: Verifying that the SHA‑256 hash of an evidence image matches the original acquisition log. Application: Provides assurance of data integrity throughout the e‑discovery lifecycle. Challenges: Managing hash calculations for massive data sets and documenting verification steps for court.
Host #
Based Intrusion Detection System (HIDS)
Explanation #
Software that monitors and analyses activities on a single computer to detect suspicious behaviour. Example: A HIDS flagging unauthorized privilege escalation on a server. Application: Generates logs that may become discoverable evidence of security incidents. Challenges: Volume of logs, false positives, and ensuring logs are retained in a forensically sound manner.
Host Data #
Host Data
Explanation #
Information stored on a device directly controlled by a user, such as a laptop or smartphone. Example: Files saved on an employee’s personal laptop that contain project communications. Application: Often subject to preservation orders and may require personal device forensics. Challenges: Access rights, privacy concerns, and potential encryption.
Hybrid Cloud #
Hybrid Cloud
Explanation #
An architecture combining on‑premise infrastructure with cloud services, creating multiple data repositories. Example: Storing core HR data on‑premise while using a SaaS solution for payroll. Application: Requires comprehensive data mapping to identify all potential sources of ESI. Challenges: Complex governance, data residency issues, and varied access controls.
Identification #
Identification
Explanation #
The initial stage of e‑discovery where relevant data sources are located and earmarked for collection. Example: Listing all email accounts, file shares, and cloud services that may contain relevant communications. Application: Forms the basis for subsequent preservation and collection activities. Challenges: Incomplete knowledge of data silos, shadow IT, and rapidly changing environments.
Imaging Tool #
Imaging Tool
Explanation #
Software used to create a forensic image of a storage device, preserving bit‑level fidelity. Example: Using Guymager to acquire a forensic image of a suspect’s SSD. Application: Provides a reliable copy for analysis while keeping the original untouched. Challenges: Compatibility with new storage technologies (e.G., NVMe), handling encrypted drives, and ensuring write‑blocking.
Incident Response #
Incident Response
Explanation #
The coordinated approach to managing and mitigating a security event, often leading to evidence collection. Example: Activating a response plan after detecting ransomware on a corporate network. Application: Generates forensic artifacts that may be used in subsequent litigation. Challenges: Rapid containment, preserving volatile data, and coordinating with legal teams.
Indemnity #
Indemnity
Explanation #
A contractual agreement where one party agrees to compensate another for loss or damage arising from specific actions. Example: A vendor’s indemnity clause covering data breach liabilities. Application: May affect who bears the cost of forensic investigations and data recovery. Challenges: Interpreting scope of coverage and aligning with statutory obligations.
Information Governance #
Information Governance
Explanation #
The strategic management of information throughout its lifecycle to meet regulatory, legal, and business objectives. Example: Implementing a governance framework that defines retention periods for emails. Application: Supports efficient e‑discovery by ensuring data is well‑organized and accessible. Challenges: Aligning disparate departmental policies and maintaining compliance across evolving regulations.
Information Retrieval #
Information Retrieval
Explanation #
The process of obtaining relevant information from a large collection of data, often using queries and algorithms. Example: Using a Lucene‑based engine to retrieve all documents containing “confidential”. Application: Core to document review platforms, enabling quick location of pertinent material. Challenges: Handling synonyms, fuzzy matching, and ensuring comprehensive coverage.
Innocent User #
Innocent User
Explanation #
An individual who unintentionally contributes to the creation or alteration of electronic evidence without malicious intent. Example: An employee who accidentally deletes a file relevant to a case. Application: May affect the assessment of spoliation and intent. Challenges: Determining whether loss was negligent or unavoidable, and documenting the circumstances.
Integrity Check #
Integrity Check
Explanation #
A method of confirming that data has not been altered by comparing calculated values before and after handling. Example: Running an MD5 check on a set of exported PDFs to confirm they remain unchanged. Application: Provides assurance for both internal quality control and court admissibility. Challenges: Managing large numbers of files and ensuring consistent hashing algorithms.
International Disclosure #
International Disclosure
Explanation #
The process of providing electronic evidence to a foreign jurisdiction, often requiring compliance with multiple legal regimes. Example: Supplying emails stored on a UK server to a US court under a Letter of Request. Application: Necessitates careful coordination to respect both UK and foreign data protection laws. Challenges: Conflicting privacy standards, data localisation rules, and lengthy diplomatic processes.
Intrusion Detection System (IDS) #
Intrusion Detection System (IDS)
Explanation #
A system that monitors network traffic for suspicious activity and generates alerts. Example: An IDS flagging unusual outbound traffic from a workstation. Application: Generates logs that may become discoverable evidence of a breach. Challenges: High volume of alerts, false positives, and ensuring logs are retained in a forensically sound manner.
IP Address #
IP Address
Explanation #
A numerical label assigned to each device connected to a computer network that uses the Internet Protocol for communication. Example: