Abstract One of the challenges to process nanostructured polymeric composites is to obtain a suitable dispersion without the presence of agglomerates, thus limiting the use of concentrations less than 5% of nanoparticles by volume in the polymer matrix. To solve this challenge an alternative is the use of buckypaper of carbon nanotubes, which consists in a thin porous film formed by a highly dense structure of CNTs bounded cohesively by van der Walls forces. In this work, the buckypapers of carbon nanotubes will be processed using the vacuum filtration technique. The first step consists in dispersing the carbon nanotubes in deionized water and surfactant with the aid of high power ultrasonication. The second step will be to centrifuge the solution to separate larger aggregates. The third step consists of vacuum filtration of solution with the aid of a nylon membrane and washing with deionized water and isopropyl alcohol, and finally, in the fourth step, vacuum oven drying for 8 hours at 100 ° C. The processed buckypapers will be characterized morphologically by scanning electron microscopy and their porosity will be evaluated from the analysis performed on a mercury porosimeter. Subsequently the carbon nanotube poly (ether-imide) / buckypaper composite will be processed via hot compression molding, in which the buckypaper will be placed between two films of the polymer to be heated and consolidated. The material processed with and without buckypaper will be thermally evaluated by thermogravimetric analysis, mechanical dynamic analysis and thermomechanical analysis in order to evaluate the influence of buckypaper on thermal stability, glass transition temperature, storage and loss modules, and coefficient of linear thermal expansion of the material. Finally, the present work seeks to give applicability to carbon nanotube buckypapers in the production of nanostructured polymer composites for use in the aerospace field. Acknowledgements The authors acknowledge financial support received from FAPESP (under grant 2017/16970-0) and CNPq (under grant 303224/2016-9).