By Vinitha Prasannan, Senior Manager – Delivery
We live in an age of rapid technological change. Our society has moved beyond the digital era into a world of automation, artificial intelligence, generative AI, agentic AI, and the like. Courtrooms now routinely handle digital evidence like emails, text messages, social media posts, metadata, surveillance footage, and AI-generated content as a part of litigation.
Traditionally, courts have relied on proofs such as oral testimony, documentary evidence, and physical evidence. Digital evidence, however, raises new and complex questions concerning authenticity, reliability, accuracy, preservation, and admissibility. The National Institute of Justice (NIJ) defines digital evidence as “information stored or transmitted in binary form that may be relied on in court.”[1]
Reports indicate that more than 90% of criminal cases now involve some form of digital evidence.[2] According to the NIJ, law enforcement agencies are integrating digital-forensic expertise into ordinary criminal investigations because such evidence is relevant to nearly every crime.[3] This requires agencies to train personnel in preserving and collecting digital evidence while simultaneously adapting to changing operating systems and other technologies.
As digital evidence becomes central to modern litigation, corresponding changes in the legal system are not merely desirable — they are inevitable. The Federal Rules of Evidence (FRE) are not static; they are regularly revised to address new legal and technological challenges.
The Foundational Rules Governing Digital Evidence
Electronically stored information may help prove or disprove facts in a legal proceeding, but such evidence is fragile and can be altered if improperly handled. Investigators must follow strict procedures during the identification, collection, acquisition, transfer, and preservation of such evidence. Legal admissibility depends on lawful acquisition — through a warrant, consent, or exigent circumstances — and on maintaining authenticity and reliability through a documented chain of custody. In federal courts, admissibility is governed primarily by the FRE, while state courts generally apply similar state statutes.
Several foundational rules work together to govern this evidence. Evidence must be relevant under Rules 401 and 402, and may still be excluded under Rule 403 if its probative value is substantially outweighed by risks such as unfair prejudice, confusion, or delay. Witness testimony must ordinarily be based on personal knowledge under Rule 602, and out-of-court statements are subject to the hearsay rules and their exceptions under Rules 801–804. Documentary, electronic, and recorded evidence must be properly authenticated under Rule 901, while Rule 1002 generally requires an original or permissible substitute when a party seeks to prove the contents of a writing, recording, or photograph. Additional rules, including Rules 702 and 404, govern expert testimony and character evidence, respectively.
Authentication Under Rule 901
FRE 901 is the primary rule addressing “Authenticating or Identifying Evidence.” It requires the proponent of evidence to produce sufficient proof that the item is what it is claimed to be. Authentication may be established through witness testimony, handwriting or voice identification, distinctive characteristics, comparison with an authenticated specimen, public records, telephone records, or evidence showing that a process or system produces accurate results. The methods listed in Rule 901 are illustrative rather than exhaustive, allowing courts to consider other reliable forms of authentication permitted by law.
Rule 902(13) permits records generated by an electronic process or system to be authenticated through a certification from a qualified person confirming that the system produces accurate results. This allows digital evidence — such as computer logs, automated records, or data generated by electronic systems — to be admitted without requiring a technical witness to testify solely about authenticity. Even so, some critics argue that traditional doctrines, particularly the hearsay rules and their numerous exceptions, remain unnecessarily complex.
FRE 702 and the Rise of Machine-Generated Evidence
The December 2023 amendment to FRE 702 clarified and reinforced the court’s gatekeeping obligation by requiring the proponent to establish, by a preponderance of the evidence, that each admissibility requirement is met and that the expert’s specific opinion reflects a sound application of reliable principles and methods to the facts of the case.
At the same time, issues such as deepfakes, AI-generated content, and machine-produced data have prompted consideration of specialized provisions, including proposed Rule 707. This proposed rule would extend judicial gatekeeping to certain forms of machine-generated evidence introduced without expert testimony. Under it, when machine output is introduced without expert testimony but would be treated as expert evidence if presented by a witness, it must satisfy the reliability standards of Rule 702(a)–(d). This would apply to outputs such as algorithmic analysis of stock-trading patterns, software similarity, or possible code misappropriation. Even when such evidence is introduced through a lay witness or authenticated under Rule 902(13), the proponent would still be required to establish its reliability.
In the U.S., courts currently evaluate algorithmic and machine-generated evidence under existing rules of relevance, authentication, and reliability. Under Rule 901, the proponent must show that the result produced by the system or process is accurate, even though certain electronic records may be self-authenticated under Rules 902(13) and 902(14). When the evidence depends on complex scientific or technical methods, courts may also apply Rule 702 and the Daubert framework[4] to assess testing, error rates, operational standards, and general acceptance. Because machines cannot be declarants, completely automated outputs are generally not treated as hearsay, even though human inputs surrounding the process may still raise hearsay concerns. Proprietary “black box” systems, deepfakes, and generative AI have increased the demand for transparency, disclosure, and stronger standards of authentication.
The Advisory Committee’s 2025 Proposals
The Advisory Committee on Evidence Rules’ May 2, 2025 proposals acknowledge that existing evidentiary rules may not adequately address evidence generated by artificial intelligence.[5] In the proposal, the Committee identified two principal concerns: first, the reliability of machine-learning outputs, and second, the authenticity of audiovisual material, particularly deepfakes. Because it is impossible to test machine-generated evidence through cross-examination in the same manner as human testimony, the Committee concluded that the reliability of such evidence raises concerns similar to those already governed by Rule 702. Since Rule 702 was revised in 2023 and applies broadly to expert testimony, the Advisory Committee proposed Rule 707 specifically to address machine-generated evidence.
The proposed amendments to Rule 901 would also address the growing threat of deepfakes and other forms of synthetic media. Under the proposal, when a party makes a credible, evidence-based claim that an image, video, or audio recording has been fabricated or materially altered by artificial intelligence, the court may require stronger proof of authenticity before admitting it. This would give judges a more active gatekeeping role, including examining the digital chain of custody, metadata, watermarking, or other technical indicators of reliability.
The Committee further concluded that detailed disclosure requirements for machine-generated evidence are better addressed through the Civil and Criminal Rules rather than the Evidence Rules, although it emphasized the importance of advance notice. The proposal is currently awaiting public comment, which will be essential in determining whether proposed Rule 707 is necessary, what types of machine-generated evidence it should cover, and which technologies should be exempt. Given the rapid pace of AI development and the Committee’s limited technical expertise, input from legal and technological experts is expected to play a central role in shaping the final rule.
Looking Ahead
As digital evidence continues to grow more sophisticated — from routine metadata to fully AI-generated content — the rules governing its admissibility will need to keep pace. Practitioners should watch the progress of proposed Rules 707 and the Rule 901 amendments closely, as they may soon reshape how courts evaluate the reliability and authenticity of machine-generated evidence in both civil and criminal proceedings.
[1] https://nij.ojp.gov/topics/forensics/digital-multimedia-evidence
[2] https://pmc.ncbi.nlm.nih.gov/articles/PMC10311201/#bib1
[3] https://nij.ojp.gov/topics/forensics/digital-multimedia-evidence
[4] a systematic framework articulated in Daubert v. Merrell Dow Pharmaceuticals, Inc., 509 U.S. 579 (1993), used by federal court judges to assess the reliability and relevance of expert witness testimony before presenting it to a jury.
[5] https://www.uscourts.gov/sites/default/files/document/preliminary_draft_of_proposed_amendments_final.pdf
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